Thematische Bibliographien / VM instance

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Auswahl der wissenschaftlichen Literatur zum Thema „VM instance“

Autor: Grafiati

Veröffentlicht am 1. Juli 2021

Zuletzt aktualisiert am 28. Juli 2025

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Zeitschriftenartikel zum Thema "VM instance"

Nemirajaiah, Naveen Kumar Adalagere, and Channa Krishna Raju. "Securing Virtual Machines using Cloning in Cloud Services." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 20770–75. https://doi.org/10.48084/etasr.9391.

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Cloud Computing (CC) is now a service available to everyone, where all computing resources are made available as a service over the internet, based on the user's needs. Virtualization is a critical component of cloud services that significantly reduces costs and improves resource utilization by creating Virtual Machines (VMs), which are essentially virtual resources that can serve multiple users simultaneously. VMs are subject to security threats and attacks such as malware, and it is very important to create a secure environment for VMs to run seamlessly. In this novel strategy, we create clo

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Nagarnaik, P. P., Om Nasre, Saksham Donge, and Isha Waghaye. "QuickCloud: Lightweight Cloud Infrastructure for VM Rental and Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44274.

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The project, "QuickCloud," is designed to provide users with a web-based platform to rent and manage virtual machines (VMs) with ease. The system enables users to select and configure their desired virtual machines, access them via SSH, and pay for usage through a simple billing mechanism. The platform includes a user-friendly interface developed using Angular for the frontend, while Spring Boot and JPA handle the backend functionalities. Unlike traditional cloud services, this project focuses solely on providing EC2-like services, specifically allowing users to rent VMs with fixed configurati

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Wan, Jianxiong, Limin Liu, Jie Lv, and Zhiwei Xu. "Coarse-Grain QoS-Aware Dynamic Instance Provisioning for Interactive Workload in the Cloud." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/215016.

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Cloud computing paradigm renders the Internet service providers (ISPs) with a new approach to deliver their service with less cost. ISPs can rent virtual machines from the Infrastructure-as-a-Service (IaaS) provided by the cloud rather than purchasing them. In addition, commercial cloud providers (CPs) offer diverse VM instance rental services in various time granularities, which provide another opportunity for ISPs to reduce cost. We investigate a Coarse-grain QoS-aware Dynamic Instance Provisioning (CDIP) problem for interactive workload in the cloud from the perspective of ISPs. We formulat

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Fan, Chih-Tien, Yue-Shan Chang, and Shyan-Ming Yuan. "VM instance selection for deadline constraint job on agent-based interconnected cloud." Future Generation Computer Systems 87 (October 2018): 470–87. http://dx.doi.org/10.1016/j.future.2018.04.017.

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Yannibelli, Virginia, Elina Pacini, David A. Monge, et al. "An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds." Scientific Programming 2023 (February 17, 2023): 1–26. http://dx.doi.org/10.1155/2023/8345646.

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Many important computational applications in science, engineering, industry, and technology are represented by PSE (parameter sweep experiment) applications. These applications involve a large number of resource-intensive and independent computational tasks. Because of this, cloud autoscaling approaches have been proposed to execute PSE applications on public cloud environments that offer instances of different VM (virtual machine) types, under a pay-per-use scheme, to execute diverse applications. One of the most recent approaches is the autoscaler MOEA (multiobjective evolutive algorithm), w

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B.Rathod, Suresh, and V. Krishna Reddy. "Decision Making Framework for Decentralized Virtual Machine Placement in Cloud Computing." International Journal of Engineering & Technology 7, no. 2.7 (2018): 705. http://dx.doi.org/10.14419/ijet.v7i2.7.10926.

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In distributed cloud environment hosts are configured with Local Resource Monitors (LRM). This LRM monitors the underlying hosts’ resource usage, runs independently and balances the underling host’s load by migrating Virtual Machine (VM) instance. For the dynamic environment, each hosts has varying resource requirement, hosts load cannot remain constant. LRM at each host takes decision for VM migration considering static threshold on its own and other hosts current CPU utilization. This result in chances of getting selected same host for VM placement by multiple hosts to reduce resource usage

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Ramana, Kadiyala, Rajanikanth Aluvalu, Vinit Kumar Gunjan, Ninni Singh, and M. Nageswara Prasadhu. "Multipath Transmission Control Protocol for Live Virtual Machine Migration in the Cloud Environment." Wireless Communications and Mobile Computing 2022 (April 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/2060875.

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For mobile cloud computing (MCC), a local virtual machine- (VM-) based cloudlet is proposed to improve the performance of real-time resource-intensive mobile applications. When a mobile device (MD) discovers a cloudlet nearby, it takes some time to build up a virtual machine (VM) inside the cloudlet before data offloading from the MD to the VM can begin. Live virtual machine migration refers to the process of transferring a running Virtual Machine (VM) from one host to another without interrupting its state. Theoretically, live migration process must not render the instance being migrated unav

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Nkenyereye, Lionel, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Reddy, and JaeSeung Song. "Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration." Sensors 20, no. 4 (2020): 1092. http://dx.doi.org/10.3390/s20041092.

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Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications

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Dow, Eli M. "Decomposed multi-objective bin-packing for virtual machine consolidation." PeerJ Computer Science 2 (February 24, 2016): e47. http://dx.doi.org/10.7717/peerj-cs.47.

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In this paper, we describe a novel solution to the problem of virtual machine (VM) consolidation, otherwise known as VM-Packing, as applicable to Infrastructure-as-a-Service cloud data centers. Our solution relies on the observation that virtual machines are not infinitely variable in resource consumption. Generally, cloud compute providers offer them in fixed resource allocations. Effectively this makes all VMs of that allocation type (or instance type) generally interchangeable for the purposes of consolidation from a cloud compute provider viewpoint. The main contribution of this work is to

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Shin, Youngjoo. "A VM-Based Detection Framework against Remote Code Execution Attacks for Closed Source Network Devices." Applied Sciences 9, no. 7 (2019): 1294. http://dx.doi.org/10.3390/app9071294.

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Remote code execution attacks against network devices become major challenges in securing networking environments. In this paper, we propose a detection framework against remote code execution attacks for closed source network devices using virtualization technologies. Without disturbing a target device in any way, our solution deploys an emulated device as a virtual machine (VM) instance running the same firmware image as the target in a way that ingress packets are mirrored to the emulated device. By doing so, remote code execution attacks mounted by maliciously crafted packets will be captu

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Dissertationen zum Thema "VM instance"

Cherukuri, Prudhvi Nath Naidu, and Sree Kavya Ganja. "Comparison of GCP and AWS using usability heuristic and cognitive walkthrough while creating and launching Virtual Machine instances in VirtualPrivate Cloud." Thesis, Blekinge Tekniska Högskola, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21896.

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ABSTRACT Cloud computing has become increasingly important over the years, as the need for computational resources, data storage, and networking capabilities in the field of information technology has been increased. There are several large corporations that offer these services to small companies or to end-users such as GCP, AWS, Microsoft Azure, IBM Cloud, and many more. The main aim of this thesis is to perform the comparison of GCP and AWS consoles in terms of the user interface while performing tasks related to compute engine. The cognitive walkthrough has been performed on tasks such as

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Nyquist, Johan, and Alexander Manfredsson. "Jämförelse av Hypervisor & Zoner : Belastningstester vid drift av webbservrar." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-28576.

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Virtualisering av datorer rent generellt innebär att man delar upp hela eller delar av enmaskinkonfiguration i flera exekveringsmiljöer. Det är inte bara datorn i sig som kanvirtualiseras utan även delar av det, såsom minnen, lagring och nätverk. Virtualiseringanvänds ofta för att kunna nyttja systemets resurser mer effektivt. En hypervisorfungerar som ett lager mellan operativsystemet och den underliggande hårdvaran. Meden hypervisor har virtuella maskiner sitt egna operativsystems kärna. En annan tekniksom bortser från detta mellanlager kallas zoner. Zoner är en naturlig del avoperativsystem

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Buchteile zum Thema "VM instance"

Srinivasan, Madhan Kumar, P. Revathy, and Keerthi Balasundaram. "Cloud VM/Instance Monitor Phase-II (CIM-PII) Subsystem of eCloudIDS." In Innovations in Computer Science and Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3818-1_14.

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Jung, Daeyong, SungHo Chin, Kwang Sik Chung, and HeonChang Yu. "VM Migration for Fault Tolerance in Spot Instance Based Cloud Computing." In Grid and Pervasive Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38027-3_15.

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De, Pradipta, Manish Gupta, Manoj Soni, and Aditya Thatte. "Caching VM Instances for Fast VM Provisioning: A Comparative Evaluation." In Euro-Par 2012 Parallel Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32820-6_33.

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Phani Praveen, S., and K. Thirupathi Rao. "An Optimized Rendering Solution for Ranking Heterogeneous VM Instances." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7566-7_17.

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Mandal, Sharmistha, Sk Shahryar Saify, Anurita Ghosh, Giridhar Maji, Sunirmal Khatua, and Rajib K. Das. "An Approach to Cost Minimization with EC2 Spot Instances Using VM Based Migration Policy." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94876-4_6.

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Brown, Alan W., David J. Carney, Edwin J. Morris, Dennis B. Smith, and Paul F. Zarrella. "Integration of CASE Tools with CM Systems: Lessons Learned." In Principles of CASE Tool Integration. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195094787.003.0016.

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The problem of CASE tool integration has several concerns that overlap with those of configuration management (CM), so much so that a discussion of one topic is often difficult to separate from a discussion of the other. To illustrate, we note that when choosing a solution to a problem in configuration management, we often must make choices that involve understanding process requirements, examining the services available (and their semantics), and analyzing implementation constraints. We also note that these activities are done simultaneously with making design trade-off decisions related to t

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Patra, Sudhansu Shekhar, and R. K. Barik. "Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud." In Cloud Technology. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch107.

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Cloud computing has recently received considerable attention, as a promising approach for delivering Information and Communication Technologies (ICT) services as a utility. In the process of providing these services it is necessary to improve the utilization of data centre resources which are operating in most dynamic workload environments. Datacenters are integral parts of cloud computing. In the datacenter generally hundreds and thousands of virtual servers run at any instance of time, hosting many tasks and at the same time the cloud system keeps receiving the batches of task requests. It p

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Sharma, Oshin, and Hemraj Saini. "Performance Evaluation of VM Placement Using Classical Bin Packing and Genetic Algorithm for Cloud Environment." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch068.

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In current era, the trend of cloud computing is increasing with every passing day due to one of its dominant service i.e. Infrastructure as a service (IAAS), which virtualizes the hardware by creating multiple instances of VMs on single physical machine. Virtualizing the hardware leads to the improvement of resource utilization but it also makes the system over utilized with inefficient performance. Therefore, these VMs need to be migrated to another physical machine using VM consolidation process in order to reduce the amount of host machines and to improve the performance of system. Thus, th

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Furbish, David Jon. "Fluids and Porous Media as Continua." In Fluid Physics in Geology. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195077018.003.0006.

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Let us anticipate that we wish to treat fluids as continuous substances at a microscopic scale. To see the motivation for this, it is instructive to consider the possibility of describing fluid behavior at a molecular scale by making use of Lagrangian mechanics to track the behavior of each molecule, just as we would describe the ballistics of a moving, rigid body. Consider describing the state of a simple diatomic molecule at some instant; to do this, we must decide what minimum set of coordinates completely specifies the position and configuration of the molecule. For example, we must specif

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Konferenzberichte zum Thema "VM instance"

Pinto, Vinicius Garcia, João V. F. Lima, Vanderlei Munhoz, Daniel Cordeiro, Emilio Francesquini, and Márcio Castro. "Performance Evaluation of Dense Linear Algebra Kernels using Chameleon and StarPU on AWS." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/sscad.2024.244405.

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Due to recent advances and investments in cloud computing, public cloud providers now offer GPU-accelerated and compute-optimized Virtual Machine (VM) instances, allowing researchers to execute parallel workloads in virtual heterogeneous clusters in the cloud. This paper evaluates the performance and monetary costs of running dense linear algebra algorithms extracted from the Chameleon package implemented using StarPU on Amazon Elastic Compute Cloud (EC2) instances. We evaluated these metrics with a single powerful/costly instance with four NVIDIA GPUs (fat node) and with a cluster of five les

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Bierbrauer, Azden, Konstantin Nasartschuk, Adam Richard, Kenneth B. Kent, and Peter Shipton. "User controlled object sharing between Java VM instances." In 2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2017. http://dx.doi.org/10.1109/pacrim.2017.8121934.

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Mishra, Ashish Kumar, Abhishek Kesarwani, and Dharmendra K. Yadav. "Short Term Price Prediction for Preemptible VM Instances in Cloud Computing." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033677.

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Razavi, Kaveh, Gerrit Van Der Kolk, and Thilo Kielmann. "Prebaked µVMs: Scalable, Instant VM Startup for IaaS Clouds." In 2015 IEEE 35th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2015. http://dx.doi.org/10.1109/icdcs.2015.33.

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Lin, Yuhui, Jack Briggs, and Adam Barker. "FIFE: an Infrastructure-as-Code Based Framework for Evaluating VM Instances from Multiple Clouds." In 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC). IEEE, 2020. http://dx.doi.org/10.1109/ucc48980.2020.00028.

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Bejanyan, V., and H. Astsatryan. "VM BASED EVALUATION OF THE SCALABLE PARALLEL MINIMUM SPANNING TREE ALGORITHM FOR PGAS MODEL." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.75.94.001.

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The minimum spanning tree problem has influential importance in computer science, networkanalysis, and engineering. However, the sequential algorithms become unable to process the givenproblem as the volume of the data representing graph instances overgrowing. Instead, the highperformance computational resources pursue to simulate large-scale graph instances in a distributedmanner. Generally, the standard shared or distributed memory models like OpenMP and MessagePassing Interface are applied to address the parallelization. Nevertheless, as an emerging alternative,the Partitioned Global Addres

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Abundo, Marco, Valerio Di Valerio, Valeria Cardellini, and Francesco Lo Presti. "QoS-aware bidding strategies for VM spot instances: A reinforcement learning approach applied to periodic long running jobs." In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2015. http://dx.doi.org/10.1109/inm.2015.7140276.

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Berichte der Organisationen zum Thema "VM instance"

Oleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk, and Yaroslav P. Vasylenko. Some experience in maintenance of an academic cloud. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4436.

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The article is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work with VMs; backup of all

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