Relevant bibliographies by topics / Virtualized server

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Virtualized server'

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Published: 25 May 2024

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Journal articles on the topic "Virtualized server"

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Da Silva, Luana Barreto, and Leonardo Henrique Silva Bomfim. "Análise de Disponibilidade de Servidores Virtualizados com Cadeias de Markov." Interfaces Científicas - Exatas e Tecnológicas 1, no. 2 (May 28, 2015): 21–34. http://dx.doi.org/10.17564/2359-4942.2015v1n2p21-34.

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The analysis of availability of virtualized servers is an important tool for managers in information technology and communication especially, when it comes to planning and design of datacenters to provide many services for general companies. If the use of virtualization enables a cost reduction, it can also make the system more susceptible to downtime. This work analyzes the availability of two environments, one with a virtualized server and the other environment with non-virtualized servers. The services offered are e-mail, Domain Name System (DNS), Web Server and File Server, a typical scenario in many companies. It is developed a case study using analytical modeling with Fault Tree and Markov Chains. The Fault Tree is used to model the servers and Markov Chains to model the behavior of each component of hardware and software. The non-virtualized environment is composed of four servers, each one providing specific services, while the virtualized consists of a single server with four virtual machines, each one providing a service. By analyzing the models developed, the results show that although the non-virtualized system has less downtime, because has less dependence between the services, the difference in this case is 0.06% annually, becomes irrelevant when compared to the benefits brought by virtualization in the companies.
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Da Silva, Luana Barreto, Leonardo Henrique da Silva Bomfim, George Leite Junior, and Marcelino Nascimento De Oliveira. "TI Verde: Uma Proposta de Economia Energética usando Virtualização." Interfaces Científicas - Exatas e Tecnológicas 1, no. 2 (May 28, 2015): 57–74. http://dx.doi.org/10.17564/2359-4942.2015v1n2p57-74.

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Information Technology (IT) is one of the main responsable for enviroment troubles. This is a challenge to be overcome by IT Managers to reduce the cust and the maintenance of datacenteres. To promote the user of computer resources on a efficient and less harmfull to enviroment, the Green IT method propose sustainable ways to support a datacenter. One of those ways is the datacenters virtualization, which means that one physical server has virtual ones, working as singles server. It is important to analyze the viability of keep a virtualized datacenter by the analysis of availability of the servers. If the use of virtualization enables a cost reduction, it can also make the system more susceptible to downtime. This work analyzes the availability of two environments, one with a virtualized server and the other with non-virtualized servers. The services offered are e-mail, DNS, Web Server and File Server, a typical scenario in many companies. It is developed a case study using analytical modeling with Fault Tree and Markov Chains. The Fault Tree is used to model the servers and Markov Chains to model the behavior of each component of hardware and software. The non-virtualized environment is composed of four servers, each one providing specific services, while the virtualized consists of a single server with four virtual machines, each one providing a service. By analyzing the models developed, the results show that although the non-virtualized system has less downtime, because has less dependence between the services, the difference in this case is 0.06% annually, becomes irrelevant when compared to the benefits brought by virtualization.
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Homayoun, Sajad, Ahmad Jalili, and Manijeh Keshtgari. "Performance Analysis of Multiple Virtualized Servers." Computer Engineering and Applications Journal 4, no. 3 (September 20, 2015): 183–88. http://dx.doi.org/10.18495/comengapp.v4i3.150.

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Server virtualization is considered as one of the most significant changes in IT operations in the past decade, making it possible to manage groups of servers with a greater degree of reliability at a lower cost. It is driven by the goal of reducing the total number of physical servers in an organization by consolidating multiple applications on shared servers. In this paper we construct several x86_64 servers based on VMware vSphere, and then analyze their performances using open source analyzing tools Pylot and Curl-loader. The results show that despite the enormous potential benefits of virtualization techniques, the efficiency decreased by increasing the number of virtual machines. So, a trade-off is needed between number of virtual machines and expected efficiency of servers.
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Matos, R. D. S., P. R. M. Maciel, F. Machida, Dong Seong Kim, and K. S. Trivedi. "Sensitivity Analysis of Server Virtualized System Availability." IEEE Transactions on Reliability 61, no. 4 (December 2012): 994–1006. http://dx.doi.org/10.1109/tr.2012.2220711.

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Sung, Guo-Ming, Yen-Shin Shen, Jia-Hong Hsieh, and Yu-Kai Chiu. "Internet of Things–based smart home system using a virtualized cloud server and mobile phone app." International Journal of Distributed Sensor Networks 15, no. 9 (September 2019): 155014771987935. http://dx.doi.org/10.1177/1550147719879354.

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This article proposes an Internet of Things–based smart home system composed of a virtualized cloud server and a mobile phone app. The smart Internet of Things–based system includes a sensing network, which is developed with the ZigBee wireless communication protocol, a message queuing telemetry transport, a virtualized cloud server and a mobile phone app. A Raspberry Pi development board is used to receive packet information from the terminal sensors using ZigBee wireless communication. Then, the message queuing telemetry transport broker not only completes transmission of the message but also publishes it to the virtualized cloud server. The transmission can then be viewed through the website using a mobile phone. The designed app combines the application of the virtualized cloud server, client sensors and the database. Verification experiments revealed the measured average response time and throughput of approximately 4.0 s and 6069 requests per second, respectively, for the virtualized web server and approximately 0.144 s and 8866 packets per second, respectively, for the message queuing telemetry transport broker. The designed functions of the mobile phone app are a global positioning system home monitoring, family memo, medical care and near-field communication key. Both interlinkage and handler methods are proposed to facilitate a powerful function without delay in displaying information. The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. It can cater to user needs with superior ease and convenience.
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Chiang, Mei-Ling, and Tsung-Te Hou. "A Scalable Virtualized Server Cluster Providing Sensor Data Storage and Web Services." Symmetry 12, no. 12 (November 25, 2020): 1942. http://dx.doi.org/10.3390/sym12121942.

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With the rapid development of the Internet of Things (IoT) technology, diversified applications deploy extensive sensors to monitor objects, such as PM2.5 air quality monitoring. The sensors transmit data to the server periodically and continuously. However, a single server cannot provide efficient services for the ever-growing IoT devices and the data they generate. This study bases on the concept of symmetry of architecture and quantities in system design and explores the load balancing issue to improve performance. This study uses the Linux Virtual Server (LVS) and virtualization technology to deploy a virtual machine (VM) cluster. It consists of a front-end server, also a load balancer, to dispatch requests, and several back-end servers to provide services. These receive data from sensors and provide Web services for browsing real-time sensor data. The Hadoop Distributed File System (HDFS) and HBase are used to store the massive amount of received sensor data. Because load-balancing is critical for resource utilization, this study also proposes a new load distribution algorithm for VM-based server clusters that simultaneously provide multiple services, such as sensor services and Web service. It considers the aggregate load of all back-end servers on the same physical server that provides multiple services. It also considers the difference between physical machines and VMs. Algorithms such as those for LVS, which do not consider these factors, can cause load imbalance between physical servers. The experimental results demonstrate that the proposed system is fault tolerant, highly scalable, and offers high availability and high performance.
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Rong Chang, Bao, Hsiu-Fen Tsai, Chi-Ming Chen, and Chien-Feng Huang. "Analysis of virtualized cloud server together with shared storage and estimation of consolidation ratio and TCO/ROI." Engineering Computations 31, no. 8 (October 28, 2014): 1746–60. http://dx.doi.org/10.1108/ec-11-2012-0295.

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Purpose – The physical server transition to virtualized infrastructure server have encountered crucial problems such as server consolidation, virtual machine (VM) performance, workload density, total cost of ownership (TCO), and return on investments (ROIs). In order to solve the problems mentioned above, the purpose of this paper is to perform the analysis of virtualized cloud server together with shared storage as well as the estimation of consolidation ratio and TCO/ROI in server virtualization. Design/methodology/approach – This paper introduces five distinct virtualized cloud computing servers (VCCSs), and provides the appropriate assessment to five well-known hypervisors built in VCCSs. The methodology the authors proposed in this paper will gives people an insight into the problem of physical server transition to virtualized infrastructure server. Findings – As a matter of fact, VM performance seems almost to achieve the same level, but the estimation of VM density and TCO/ROI are totally different among hypervisors. As a result, the authors have the recommendation to choose the hypervisor ESX server if you need a scheme with higher ROI and lower TCO. Alternatively, Proxmox VE would be the second choice if you like to save the initial investment at first and own a pretty well management interface at console. Research limitations/implications – In the performance analysis, instead of ESX 5.0, the authors adopted ESXi 5.0 that is free software, its function is limited, and does not have the full functionality of ESX server, such as: distributed resource scheduling, high availability, consolidated backup, fault tolerance, and disaster recovery. Moreover, this paper do not discuss the security problem on VCCS which is related to access control and cryptograph in VMs to be explored in the further work. Practical implications – In the process of virtualizing the network, ESX/ESXi has restrictions on the brand of the physical network card, only certain network cards can be detected by the VM. For instance: Intel and Broadcom network cards. The newer versions of ESXi 5.0.0 and above now support parts of Realtek series (Realtek 8186, Realtek 8169, and Realtek 8111E). Originality/value – How to precisely assess the hypervisor for server/desktop virtualization is also of hard question needed to deal with it crisply before deploying new IT with VCCS on site. The authors have utilized the VMware calculator and developed an approach to server/desktop consolidation, virtualization performance, VM density, TCO, and ROIs. As a result, in this paper the authors conducted a comprehensive approach to analyze five well-known hypervisors and will give the recommendation for IT manager to choose a right solution for server virtualization.
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Banushri, A., and Dr R. A. Karthika. "Implementation levels of virtualization and security issues in cloud computing." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 678. http://dx.doi.org/10.14419/ijet.v7i2.33.15474.

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Cloud is the buzz word in the industry. The initiation of virtualization technology in the infrastructure domain gives us the options to procure the benefits of the cloud deployments. Virtualization is a fast-growing infrastructure in the IT industry. Technology providers and user communities have introduced a new set of terms to describe the technologies and their features for virtualization. Virtualization characterizes the logical vision of data representation. The authority to compute in virtualized environment, storing the data at dissimilar geographies and diverse computing resources. Virtualization technology allows the creation of the virtual versions of hardware, networking resources, Operating systems and storage devices. It supports multiple OS run on single physical machine called host machine and multiple guest application run on single server called host server. Hypervisors assistance in virtualization of hardware. That is, the software interrelates with the physical system, providing virtualized environment to maintain multiple operating system running parallel using one physical server. This paper provides the information about the implementation levels of virtualization, the benefits and security problems of Virtualization in virtualized hardware environment.
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Wang, Zhikui, Yuan Chen, Daniel Gmach, Sharad Singhal, Brian Watson, Wilson Rivera, Xiaoyun Zhu, and Chris Hyser. "AppRAISE: application-level performance management in virtualized server environments." IEEE Transactions on Network and Service Management 6, no. 4 (December 2009): 240–54. http://dx.doi.org/10.1109/tnsm.2009.04.090404.

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Varasteh, Amir, and Maziar Goudarzi. "Server Consolidation Techniques in Virtualized Data Centers: A Survey." IEEE Systems Journal 11, no. 2 (June 2017): 772–83. http://dx.doi.org/10.1109/jsyst.2015.2458273.

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Dissertations / Theses on the topic "Virtualized server"

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Kalyvianaki, Evangelia. "Resource provisioning for virtualized server applications." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611425.

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Yang, Xun. "Design of Information visualization System for Managing Virtualized Server Network." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22168.

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Information Visualization technics has been widely used in exploring complex data space. In the area of network visualization, the extreme complexity and professional requirements of IT engineers make it hard to design visualization strategies facilitating their daily works. This paper introduces an interactive visualization tool kit for managing network systems. It starts with the research of different visualization technics and existing visualization systems, follows with the concept development process, including user research and the evolution of mockups. A final prototype is proposed, evaluated by discussion with users.
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Tayachi, Zeineb. "Sûreté de fonctionnement et provisionnement éco-énergétique dans les centres de données virtualisés IaaS." Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1292.

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Le Cloud computing offre aux utilisateurs l’opportunité d’exploiter des services qui peuvent être des infrastructures, des plateformes, des applications,... Ceci représente un gain de temps et d’argent considérable puisque l’utilisateur n’a besoin ni d’investir dans une infrastructure onéreuse, ni de gérer sa maintenance, de plus il paye juste les ressources utilisées. Afin de prendre en charge des applications à grande échelle et stocker de gros volumes de données, les centres de données ont été largement déployés par des fournisseurs cloud. Cependant, les études ont montré une mauvaise utilisation des ressources qui ne sont pas exploitées pleinement. Les technologies de virtualisation ont permis d’améliorer la situation en déployant des centres de données virtualisés. Ces derniers sont des centres de données où tout ou une partie du matériel (par exemple, serveurs, routeurs, commutateurs et liens) est virtualisé à l’aide d’un logiciel appelé hyperviseur qui divise l’équipement en plusieurs instances virtuelles isolées et indépendantes (comme des machines virtuelles). Toutefois les performances des équipements peuvent être atténuées à cause de plusieurs phénomènes tels que le vieillissement logiciel. L’objectif de cette thèse est d’évaluer les performances de deux composants clés dans les centres de données qui sont le serveur virtualisé et le commutateur virtuel. Puisque, l’architecture de ces systèmes est complexe, on a opté pour utiliser les formalismes de modélisation avant de mettre en place des solutions pratiques. Notre première contribution concerne la modélisation et l’évaluation de la performabilité d’un serveur virtualisé qui implémente une politique de gestion de l’énergie et utilise le rajeunissement logiciel comme une technique proactive afin de prévenir les aléas de vieillissement logiciel. Cette modélisation est basée sur une approche modulaire utilisant le SRN (Stochastic Reward Nets) qui décrit les différents états du SVS ainsi que les transitions régissant le passage d’un état à l’autre. L’analyse numérique permet de capturer l’impact de la variation de la charge de travail et le trafic en rafale sur les métriques de performabilité, ce qui permet de bien définir les paramètres du système. La seconde contribution porte sur l’évaluation des performances d’un commutateur virtuel qui détermine les performances du réseau puisqu’il établit la communication entre des VMs. Le modèle analytique proposé représente l’architecture interne de cenoeud critique avec plusieurs cartes d’interface réseau (représentant des ports) et plusieurs cœurs de processeur (CPU). Chaque CPU sert un ensemble de ports. Le modèle est basé sur les files d’attente avec serveur en vacance et des arrivées groupées. Les résultats numériques montrent l’impact de la taille du groupe et la politique d’acceptation sur les performances du commutateur. Ces résultats peuvent être intéressants lors du dimensionnement des ressources d’un commutateur virtuel
Cloud computing allows users to exploit services such as infrastructures, platforms, applications, ...This allows a considerable cost and time saving since users do not need buying and managing of equipment. Moreover, they just pay the resources used (pay-as-you go). With the increasing large-scale applications and the need to store huge quantities of data, data centers have been widely deployed. However, studies have shown the under utilization of resources. Therefore, Cloud providers resort to virtualization technologies that are adopted by data center architectures and virtualized data centres have been deployed. A Virtualized Data Center is a data center where some or all of the hardware (e.g, servers, routers, switches, and links) are virtualized by using software called hypervisor that divides the equipment into multiple isolated and independent virtual instances (e.g virtual machines (VMs)). However, equipment performance can be mitigated due to several phenomena such as software aging. In this thesis, we focus on performance evaluation of two components in the data centers which are the virtualized server and the virtual switch, by usingmodeling formalisms. The first contribution concerns performability modeling and analysis of server virtualized systems subject to software aging, software rejuvenation and implements an energy management policy. A modular approach based on SRNs is proposed to investigate dependencies between several server virtualized modules. Numerical analysis shows how workload with bursty nature impacts performability metrics. This can handle decision making related to rejuvenation scheduling algorithms and to select the suitable rejuvenation mechanism. The second contribution concerns virtual switch (VS) which is considered as key element in data center networks since it achieves the communication between virtual machines. An analytical queueing model with batch arrivals and server vacations is proposed to evaluate VS performance with several network interface cards and several CPU cores. Performance metrics are obtained as a function of two proposed batch acceptance strategies and mean batch size. Numerical results aremeaningful when sizing virtual switch resources
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Mack, Moritz. "Loading and Querying Data on Distributed Virtualized Web Application Servers." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-108039.

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Virtualized web application servers within computational clouds, such as the GoogleApp Engine, generally restrict resource usage and therefore provide limited,relationally none-complete query facilities only. This work investigates how scalable,reliable and a more powerful access to the App Engine Datastore can beaccomplished and an Optimized Distributed Datastore Exchange (ODDSE) ispresented. Being aware of the App Engine’s resource restrictions ODDSE provides areliable and failure safe query interface to transparently exchange data with thedistributed Datastore using full SQL or AmosQL. ODDSE therefore wraps Datastorerelations and utilizes the extensible database system Amos II to compensate formissing query facilities in Google’s relationally none-complete query language GQL.Under the covers ODDSE furthermore implements an adaptive and reliablemanagement of interactions with App Engine servers. For scalability and highperformance the interaction is parallelized and continuously adapted. Theperformance of ODDSE is evaluated and compared to a similar system showing itsconsiderably good results for both bulk uploading and query processing.

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Nitu, Vlad-Tiberiu. "Improving energy efficiency of virtualized datacenters." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/23799/1/NITU_Vlad%20Tiberiu.pdf.

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Nowadays, many organizations choose to increasingly implement the cloud computing approach. More specifically, as customers, these organizations are outsourcing the management of their physical infrastructure to data centers (or cloud computing platforms). Energy consumption is a primary concern for datacenter (DC) management. Its cost represents about 80% of the total cost of ownership and it is estimated that in 2020, the US DCs alone will spend about $13 billion on energy bills. Generally, the datacenter servers are manufactured in such a way that they achieve high energy efficiency at high utilizations. Thereby for a low cost per computation all datacenter servers should push the utilization as high as possible. In order to fight the historically low utilization, cloud computing adopted server virtualization. The latter allows a physical server to execute multiple virtual servers (called virtual machines) in an isolated way. With virtualization, the cloud provider can pack (consolidate) the entire set of virtual machines (VMs) on a small set of physical servers and thereby, reduce the number of active servers. Even so, the datacenter servers rarely reach utilizations higher than 50% which means that they operate with sets of longterm unused resources (called 'holes'). My first contribution is a cloud management system that dynamically splits/fusions VMs such that they can better fill the holes. This solution is effective only for elastic applications, i.e. applications that can be executed and reconfigured over an arbitrary number of VMs. However the datacenter resource fragmentation stems from a more fundamental problem. Over time, cloud applications demand more and more memory but the physical servers provide more an more CPU. In nowadays datacenters, the two resources are strongly coupled since they are bounded to a physical sever. My second contribution is a practical way to decouple the CPU-memory tuple that can simply be applied to a commodity server. Thereby, the two resources can vary independently, depending on their demand. My third and my forth contribution show a practical system which exploit the second contribution. The underutilization observed on physical servers is also true for virtual machines. It has been shown that VMs consume only a small fraction of the allocated resources because the cloud customers are not able to correctly estimate the resource amount necessary for their applications. My third contribution is a system that estimates the memory consumption (i.e. the working set size) of a VM, with low overhead and high accuracy. Thereby, we can now consolidate the VMs based on their working set size (not the booked memory). However, the drawback of this approach is the risk of memory starvation. If one or multiple VMs have an sharp increase in memory demand, the physical server may run out of memory. This event is undesirable because the cloud platform is unable to provide the client with the booked memory. My fourth contribution is a system that allows a VM to use remote memory provided by a different rack server. Thereby, in the case of a peak memory demand, my system allows the VM to allocate memory on a remote physical server.
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Oliveira, Vitor Chaves de. "Impactos da varia??o de aplica??es e de hardware local na vaz?o de redes de computadores com virtualiza??o de desktops." Pontif?cia Universidade Cat?lica de Campinas, 2012. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/535.

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Made available in DSpace on 2016-04-04T18:31:36Z (GMT). No. of bitstreams: 1 Vitor Chaves de Oliveira.pdf: 1928054 bytes, checksum: 49bf6198a68438069d6ef8b9a2ec77e9 (MD5) Previous issue date: 2012-12-10
In recent years, virtualization computing has become a worldwide reality present in datacenters servers of most organizations. The motivations for the use of this solution are focused primarily on cost reduction and increases in availability, integrity and security of data. Based on these benefits, recently it was started the use of this technology for personal computers as well. That is, for desktops, giving birth to the so-called desktop virtualization. Given the technical advantages of the approach, its growth has been so significant that, before 2014, it is expected to be present in over 90% of organizations. However, this new method is completely based on a physical client-server architecture, which increases the importance of the communication network that makes this technique possible. Therefore, analyzing the network in order to investigate the effects according to the environment implemented, becomes crucial. In this work it s varied the local s client hardware and the application, i.e. the service used. The purpose was to detail their effects on computer networks in a Quality of Service (QoS) parameter, throughput. Secondarily are outlined perceptions regarding the Quality of Experience (QoE).
Nos ?ltimos anos, a virtualiza??o computacional se tornou uma realidade nos servidores presentes nos data-centers da maioria das organiza??es no mundo. As motiva??es para o emprego desta solu??o est?o centradas, primordialmente, na redu??o de custos e em aumentos na disponibilidade, na integridade e na seguran?a dos dados. Com base nestes benef?cios, recentemente, se come?ou a aproveitar esta tecnologia tamb?m para os computadores pessoais. Isto ?, para os desktops, dando origem a chamada virtualiza??o de desktop. Dadas as vantagen t?cnicas da abordagem, seu crescimento tem sido t?o expressivo que, antes de 2014, se espera que ela esteja presente em mais de 90% das organiza??es. Todavia, este m?todo ? totalmente baseado em uma arquitetura cliente-servidor f?sica, o que aumenta a import?ncia da rede de comunica??o que torna a t?cnica poss?vel. Logo, analisar a rede, a fim de investigar os impactos de acordo com o ambiente implementado, se torna fundamental. Neste trabalho variamos o hardware local do cliente e a aplica??o, isto ?, o servi?o utilizado. A finalidade foi a de detalhar seus efeitos, em redes de computadores, em um par?metro de Qualidade de Servi?o (QoS), a vaz?o. Secundariamente s?o esbo?adas percep??es de Qualidade da Experi?ncia (QoE).
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Liu, Kuan-Ting, and 劉冠廷. "Design and Implementation of Virtualized UPnP Server for IoT-based AP." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/52558615376022736286.

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碩士
淡江大學
資訊工程學系碩士班
100
With innovation and the advancement of MEMS technology for the Internet and communications technology, the concept of Internet of Things began to be developed. In order to make life more convenient, this concept lets the surrounding objects become the smart objects for sensing and discerning. In matters of communication, a broad range of wireless chip has been embedded into smart objects, such as mobile phone, TV, DVD, and other home appliances and mobile devices with Wi-Fi chip. On lower communication layer of wireless environment, the Microsoft has proposed UPnP which becomes the most important criteria for machine to machine. The advantage of the UPnP is that it has the automatic search and zero set superiority in distributed and open network architecture. However, this advantage is only limited to single LAN connection. As a result, it is unable to connect to the larger Internet of Things environment. Virtualization UPnP server is used to solve the problem of the home network where multiple LAN cannot communicate with each other. Moreover, we will develop an UPnP control application for the Android smart phone to be used to verify the possibilities of this thesis and the overall performance assessment.
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Chi, Po-Yang, and 紀博洋. "Vertical profiling monitor and fine-grained resource provision for virtualized server management." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/43198230561708293215.

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碩士
國立交通大學
資訊科學與工程研究所
103
With the popularity of microserver and virtualization technology, private cloud has already become a good choice to provide network service or parallel computing power. Compare to public cloud enviroment, ununified hardware resource and irregular network topology is the feature of privte cloud. For virtualized resource management, previous works are mostly focusing on ether the hardware resource monitor and provision based on single host or resource balancing and virtual machine(VM) migration on public cloud, private cloud enviroment is seldom mentioned. In this paper, we implement a virtualized server management system which uses vertical profiling monitor to estimate the Quality of service (QoS) of VM then uses this information providing fine-grained resource provision, finally achieve high performance or power saving management.
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Hsieh, Jia-Hong, and 謝佳宏. "Design and Implementation of Intelligent Internet of Sensors and Virtualized Cloud Server." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/q46w8x.

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碩士
國立臺北科技大學
電機工程系
106
Internet of Things (IoT) and Industry 4.0 have been trending up. Informations in equipment and device are transmitted to the cloud via the Internet.One can send control signals or instructions over the network to control the equipments and devices, to complete the remote controll function. However, IoT and Industrial 4.0 there is no related communicated agreement in. That is, the biggest destination and vision is to communicate between everythings via Internet based on the current Internet architecture. The developed smart sensor network is based on Zigbee wireless communication protocol whose packet is established in the IEEE802.15.4 agreement, the advantages of the developed system are low power consumption and low production cost. The system architecture includes the Zigbee transmitter and receiver, MQTT, and virtualized cloud server. The Raspberry Pi developed board receives the packet information from the terminal sensor with Zigbee. Then, it analysis the received packet and retrieves the fields including the shortAddress, clusterId, and value, and verifies the correctness of the received packet. Then the MQTT is need to complete the meesage transport and to publish message to the cloud virtual server. Besides, a graphical management interface is designed to view the data which is stored in the database. In the meantime, all sensor messages can be viewed through the website. It locates in the era of IoT and Industry4.0, which connect all devices via the Internet.
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Chen, Chih-Min, and 陳智民. "Virtualized Web Server Cluster Scheduling Scheme Adjusted by Dynamic Indexes to Improve the Performance." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/hp92m8.

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碩士
國立臺中科技大學
資訊工程系碩士班
100
The popularity of multi-core processors has led to the rapid development of virtualization technology. The implementation of server consolidation through virtualization can result in a number of benefits, such as reduced hardware acquisition costs, improved applications of the computing resources on servers, simplified infrastructure management, and reduced energy consumption. 　　Server virtualization can be applied in a variety of server types, including Web servers, mail servers, DNS servers, FTP servers, and database servers. By constructing a Web server cluster on virtual machines, hardware resources can be employed with more flexibility. 　　This thesis presents a Dynamic Scheduling Indexes Scheme that continuously monitors load information concerning available servers in a virtual Web server cluster, including information about the load values of CPU, memory, and network bandwidth, and then converts these load values into scheduling indexes that can be allocated by the scheduler server. Based on scheduling indexes, the scheduler server forwards client requests to Web servers, and then dynamically adjusts allocated scheduling indexes every 60 seconds. 　　Experimental results indicate that, for performance, our Dynamic Scheduling Indexes Scheme is superior to Request Counting Scheduling, Weighted Traffic Counting Scheduling, and Pending Request Counting Scheduling. The present scheme has been verified to improve the performance of a virtualized Web server cluster and to reduce the response time of client requests.
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Books on the topic "Virtualized server"

1

Ahmed, Wasim. Proxmox Cookbook: Over 60 Hands-On Recipes to Perform Server Virtualization and Manage Virtualized Server Solutions with Proxmox. Packt Publishing, Limited, 2015.

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Mastering Microsoft Windows Server Hyper V: Design Build and Manage a Virtualized Data Center. Independently Published, 2021.

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Gestionar instituciones educativas socialmente responsables: aprender, servir, innovar. Teseo, 2016. http://dx.doi.org/10.55778/ts877230659.

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<p><span>¿Podemos ser socialmente ‘irresponsables’? Aunque nos cueste admitirlo, muchas veces actuamos personal e institucionalmente como si no fuéramos a responder por las consecuencias de nuestros actos. Quizás no nos lo proponemos de un modo explícito, pero estamos permanentemente expuestos a vivir reduciendo o acotando el alcance de nuestra mirada a nuestro propio yo, a nuestro propio círculo íntimo, a nuestro propio ‘pequeño cosmos’, y en consecuencia, a ni siquiera registrar lo que está más allá de ese foco reduccionista.</span><br /><br /><span>La Responsabilidad Social Educativa (RSEdu) se va haciendo cada vez más conocida. Su amplia fundamentación teórica permite la convivencia de múltiples enfoques, diversidad de proyectos, amplitud de valores y potencial de contribución a la convivencia tolerante. No existe un ‘paradigma’ o concepción dominante para caracterizar la RSEdu y cuando se la quieren apropiar los ideólogos de un extremo u otro, rápidamente pierde su virtualidad al ser instrumentalizada. Las tres claves que se proponen en el título de estas VI Jornadas Académicas de la Escuela de Educación, aprender, servir e innovar, son apoyos seguros para el impulso definitivo de la Responsabilidad Social Educativa.</span></p>
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Book chapters on the topic "Virtualized server"

1

Chandramouli, Ramaswamy. "Comprehensive Security Assurance Measures for Virtualized Server Environments." In Lecture Notes in Computer Science, 55–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04834-1_3.

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Ally, Said. "Organizational Readiness for Managing Large-Scale Data Storage in Virtualized Server Environments." In Advances in Data and Information Sciences, 381–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0694-9_36.

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Ferreto, Tiago, César A. F. De Rose, and Hans-Ulrich Heiss. "Maximum Migration Time Guarantees in Dynamic Server Consolidation for Virtualized Data Centers." In Euro-Par 2011 Parallel Processing, 443–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23400-2_41.

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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "Replicating Virtualized Database Servers." In Cloud Data Management, 81–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_6.

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Pecero, Johnatan E., and Pascal Bouvry. "Workflow Scheduling on Virtualized Servers." In Advanced Approaches to Intelligent Information and Database Systems, 247–54. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05503-9_24.

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Tsai, Linjiun, and Wanjiun Liao. "Allocation of Servers." In Virtualized Cloud Data Center Networks: Issues in Resource Management., 29–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32632-0_4.

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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "SLA-Driven Database Replication on Virtualized Database Servers." In Cloud Data Management, 97–118. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_7.

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Wang, Xiajun, Song Huang, Song Fu, and Krishna Kavi. "Characterizing Workload of Web Applications on Virtualized Servers." In Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 98–108. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13021-7_8.

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Garrido, Luis A., Rajiv Nishtala, and Paul Carpenter. "Continuous-Action Reinforcement Learning for Memory Allocation in Virtualized Servers." In Lecture Notes in Computer Science, 13–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34356-9_2.

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Lakshmi, J., and S. K. Nandy. "Quality of Service for I/O Workloads in Multicore Virtualized Servers." In Grids, Clouds and Virtualization, 23–53. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-049-6_2.

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Conference papers on the topic "Virtualized server"

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Deng, Li, Hai Jin, and Song Wu. "vMerger: Server Consolidation in Virtualized Environment." In 2013 IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC). IEEE, 2013. http://dx.doi.org/10.1109/dasc.2013.134.

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Park, Jong-Geun, Jin-Mee Kim, Chang-Won Ahn, Young-Choon Woo, and Hoon Choi. "Cluster Management in a Virtualized Server Environment." In 2008 10th International Conference on Advanced Communication Technology. IEEE, 2008. http://dx.doi.org/10.1109/icact.2008.4494229.

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Khanna, G., K. Beaty, G. Kar, and A. Kochut. "Application Performance Management in Virtualized Server Environments." In 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006. IEEE, 2006. http://dx.doi.org/10.1109/noms.2006.1687567.

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Machida, Fumio, Jianwen Xiang, Kumiko Tadano, and Yoshiharu Maeno. "Combined Server Rejuvenation in a Virtualized Data Center." In 2012 IEEE 9th Int'l Conference on Ubiquitous Intelligence & Computing / 9th Int'l Conference on Autonomic & Trusted Computing (UIC/ATC). IEEE, 2012. http://dx.doi.org/10.1109/uic-atc.2012.52.

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Machida, Fumio, Ryota Mibu, Junichi Gokurakuji, Kazuo Yanoo, Kumiko Tadano, Yoshiharu Maeno, and Tomoyoshi Sugawara. "Virtualized server infrastructure for resilient voice communication service." In NOMS 2014 - 2014 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2014. http://dx.doi.org/10.1109/noms.2014.6838307.

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Mohan, Biju R., and G. Ram Mohana Reddy. "Software aging trend analysis of server virtualized system." In 2014 International Conference on Information Networking (ICOIN). IEEE, 2014. http://dx.doi.org/10.1109/icoin.2014.6799478.

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Wiegert, John, Greg Regnier, and Jeff Jackson. "Challenges for Scalable Networking in a Virtualized Server." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317816.

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Wang, Leping, and Ying Lu. "Power-efficient workload distribution for virtualized server clusters." In 2010 International Conference on High Performance Computing (HiPC). IEEE, 2010. http://dx.doi.org/10.1109/hipc.2010.5713178.

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"Server Consolidation for Internet Applications in Virtualized Data Centers." In 2016 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/springsim.2016.hpc.051.

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Pedram, Massoud, and Inkwon Hwang. "Power and Performance Modeling in a Virtualized Server System." In 2010 International Conference on Parallel Processing Workshops (ICPPW). IEEE, 2010. http://dx.doi.org/10.1109/icppw.2010.76.

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