Relevant bibliographies by topics / Server computing Evaluation

Academic literature on the topic 'Server computing Evaluation'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Server computing Evaluation"

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Selvam, S. "An Effective Techniques Using Apriori and Logistic Methods in Cloud Computing." IARS' International Research Journal 11, no. 2 (August 29, 2021): 35–39. http://dx.doi.org/10.51611/iars.irj.v11i2.2021.167.

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This paper presents a creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client machine from the server. To place this technique to work, the data about client nodes is piggybacked onto the real client I/O requests, and then forwarded to the relevant storage server. Next, dual prediction algorithms have been proposed to calculation future block access operations for directing what data should be fetched on storage servers in advance. Finally, the prefetching data can be pressed to the relevant client device from the storage server. Over a series of evaluation experiments with a group of application benchmarks, we have demonstrated that our presented initiative prefetching technique can benefit distributed file systems for cloud environments to achieve better I/O performance. In particular, configuration-limited client machines in the cloud are not answerable for predicting I/O access operations, which can certainly contribute to preferable system performance on them.
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Ahuja, Sanjay P., and Suganya Sridharan. "Performance Evaluation of Hypervisors for Cloud Computing." International Journal of Cloud Applications and Computing 2, no. 3 (July 2012): 26–67. http://dx.doi.org/10.4018/ijcac.2012070102.

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The virtualization of IT infrastructure enables consolidation and pooling of IT resources so they are shared over diverse applications to offset the limitation of shrinking resources and growing business needs. Virtualization provides a logical abstraction of physical computing resources and creates computing environments that are not restricted by physical configuration or implementation. Virtualization is very important for cloud computing because the delivery of services simplified by providing a platform for optimizing complex IT resources in a scalable manner, which makes cloud computing more cost effective. Hypervisor plays an important role in the virtualization of hardware. This software provides a virtual hardware to support running multiple operating systems concurrently using one physical server. This research quantitatively and qualitatively compares the performance of VMware ESXi 4.1, Citrix Systems Xen Server 5.6 and KVM Hypervisors using standard benchmark SPECvirt_sc2010v1.01 formulated by Standard Performance Evaluation Committee (SPEC), which generate various Workloads simulating real life situations.
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Singh, Harikesh, and Shishir Kumar. "Dispatcher Based Dynamic Load Balancing on Web Server System." International Journal of System Dynamics Applications 1, no. 2 (April 2012): 15–27. http://dx.doi.org/10.4018/ijsda.2012040102.

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The traffic increasing in the network creates bulk congestion while the bulk transfer of data evolves. Performance evaluation and high availability of servers are important factors to resolve this problem using various cluster based systems. There are several low-cost servers using the load sharing cluster system which are connected to high speed networks, and apply load balancing technique between servers. It offers high computing power and high availability. A distributed website server can provide scalability and flexibility to manage with emergent client demands. Efficiency of a replicated web server system will depend on the way of distributed incoming requests among these replicas. A distributed Web-server architectures schedule client requests among the multiple server nodes in a user-transparent way that affects the scalability and availability. The aim of this paper is the development of a load balancing techniques on distributed Web-server systems.
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Kotyk, Vladyslav, and Yevhenii Vavruk. "Comparative Analysis of Server and Serverless Cloud Computing Platforms Vladyslav Kotyk, Yevhenii Vavruk." Advances in Cyber-Physical Systems 7, no. 2 (December 16, 2022): 115–20. http://dx.doi.org/10.23939/acps2022.02.115.

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Cloud computing is emerging as a powerful computing paradigm for the efficient use of resources. However, decisions to move to cloud computing always remain risky from the customer's point of view, considering the benefits they get from it. Existing research on cloud computing is more focused on technical aspects such as security, quality, efficiency, etc. However, research on the implementation of cloud computing is at an early stage. Thus, in this article, an attempt is made to create a model for cost analysis and advantages for deciding on the application of cloud computing. It takes into account various organizational parameters, designing server and serverless architectures using Microsoft Azure Portal cloud platform services and policies of this organization. Also, it makes a comparative characterization of these services according to power and price criteria. A comparative description of these services according to capacity and price criteria is also given. It shows the structure of the test tool for assessment. Evaluation parameters and metrics are defined. In addition, this article contains information about approaches to evaluating cloud platforms according to various criteria that are most important for a developer.
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Salau, Ayodeji Olalekan, Tsehay Admassu Assegie, Adedeji Tomide Akindadelo, and Joy Nnenna Eneh. "Evaluation of Bernoulli Naive Bayes model for detection of distributed denial of service attacks." Bulletin of Electrical Engineering and Informatics 12, no. 2 (April 1, 2023): 1203–8. http://dx.doi.org/10.11591/eei.v12i2.4020.

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Distributed denial of service is a form of cyber-attack that involves sending several network traffic to a target system such as DHCP, domain name server (DNS), and HTTP server. The attack aims to exhaust computing resources such as memory and the processor of a target system by blocking the legitimate users from getting access to the service provided by the server. Network intrusion prevention ensures the security of a network and protects the server from such attacks. Thus, this paper presents a predicitive model that identifies distributed denial of service attacks (DDSA) using Bernoulli-Naive Bayes. The developed model is evaluated on the publicly available Kaggle dataset. The method is tested with a confusion matrix, receiver operating characteristics (ROC) curve, and accuracy to measure its performance. The experimental results show an 85.99% accuracy in detecting DDSA with the proposed method. Hence, Bernoulli-Naive Bayes-based method was found to be effective and significant for the protection of network servers from malicious attacks.
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Kadhim, Abrar Saad, and Mehdi Ebady Manaa. "Hybrid load-balancing algorithm for distributed fog computing in internet of things environment." Bulletin of Electrical Engineering and Informatics 11, no. 6 (December 1, 2022): 3462–70. http://dx.doi.org/10.11591/eei.v11i6.4127.

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Fog computing is a novel idea created by Cisco that provides the same capabilities as cloud computing but close to objects to improve performance, such as by minimizing latency and reaction time. Packet failure can happen on a single fog server across a large number of messages from internet of things (IoT) sensors due to several variables, including inadequate bandwidth and server queue capacity. In this paper, a fog-to-server architecture based on the IoT is proposed to solve the problem of packet loss in fog and servers using hybrid load balancing and a distributed environment. The proposed methodology is based on hybrid load balancing with least connection and weighted round robin algorithms combined together in fog nodes to take into consideration the load and time to distribute requests to the active servers. The results show the proposed system improved network evaluation parameters such as total response time of 131.48 ms, total packet loss rate of 15.670%, average total channel idle of 99.55%, total channel utilization of 77.44%, average file transfer protocol (FTP) file transfer speed (256 KB to 15 MB files) of 260.77 KB/sec, and average time (256 KB to 15 MB) of 19.27 sec.
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Alghamdi, Ibrahim, Christos Anagnostopoulos, and Dimitrios P. Pezaros. "Delay-Tolerant Sequential Decision Making for Task Offloading in Mobile Edge Computing Environments." Information 10, no. 10 (October 12, 2019): 312. http://dx.doi.org/10.3390/info10100312.

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In recent years, there has been a significant increase in the use of mobile devices and their applications. Meanwhile, cloud computing has been considered as the latest generation of computing infrastructure. There has also been a transformation in cloud computing ideas and their implementation so as to meet the demand for the latest applications. mobile edge computing (MEC) is a computing paradigm that provides cloud services near to the users at the edge of the network. Given the movement of mobile nodes between different MEC servers, the main aim would be the connection to the best server and at the right time in terms of the load of the server in order to optimize the quality of service (QoS) of the mobile nodes. We tackle the offloading decision making problem by adopting the principles of optimal stopping theory (OST) to minimize the execution delay in a sequential decision manner. A performance evaluation is provided using real world data sets with baseline deterministic and stochastic offloading models. The results show that our approach significantly minimizes the execution delay for task execution and the results are closer to the optimal solution than other offloading methods.
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Hiraga, Kohei, Osamu Tatebe, and Hideyuki Kawashima. "Scalable Distributed Metadata Server Based on Nonblocking Transactions." JUCS - Journal of Universal Computer Science 26, no. 1 (January 28, 2020): 89–106. http://dx.doi.org/10.3897/jucs.2020.006.

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Metadata performance scalability is critically important in high-performance computing when accessing many small files from millions of clients. This paper proposes a design of a scalable distributed metadata server, PPMDS, for parallel file systems using multiple key-value servers. In PPMDS, hierarchical namespace of a file system is efficiently managed by multiple servers. Multiple entries can be atomically updated using a nonblocking distributed transaction based on an algorithm of dynamic software transactional memory. This paper also proposes optimizations to further improve the metadata performance by introducing a server-side transaction processing, multiple readers, and a shared lock mode, which reduce the number of remote procedure calls and prevent unnecessary blocking. Performance evaluation shows the scalable performance up to 3 servers, and achieves 62,000 operations per second, which is 2.58x performance improvement compared to a single metadata performance.
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Ye, Kong, Penglin Dai, Xiao Wu, Yan Ding, Huanlai Xing, and Zhaofei Yu. "Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing." Sensors 19, no. 16 (August 14, 2019): 3547. http://dx.doi.org/10.3390/s19163547.

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Traffic sensing is one of the promising applications to guarantee safe and efficient traffic systems in vehicular networks. However, due to the unique characteristics of vehicular networks, such as limited wireless bandwidth and dynamic mobility of vehicles, traffic sensing always faces high estimation error based on collected traffic data with missing elements and over-high communication cost between terminal users and central server. Hence, this paper investigates the traffic sensing system in vehicular networks with mobile edge computing (MEC), where each MEC server enables traffic data collection and recovery in its local server. On this basis, we formulate the bandwidth-constrained traffic sensing (BCTS) problem, aiming at minimizing the estimation error based on the collected traffic data. To tackle the BCTS problem, we first propose the bandwidth-aware data collection (BDC) algorithm to select the optimal uploaded traffic data by evaluating the priority of each road segment covered by the MEC server. Then, we propose the convex-based data recovery (CDR) algorithm to minimize estimation error by transforming the BCTS into an l 2 -norm minimization problem. Last but not the least, we implement the simulation model and conduct performance evaluation. The comprehensive simulation results verify the superiority of the proposed algorithm.
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Špeťko, Matej, Ondřej Vysocký, Branislav Jansík, and Lubomír Říha. "DGX-A100 Face to Face DGX-2—Performance, Power and Thermal Behavior Evaluation." Energies 14, no. 2 (January 12, 2021): 376. http://dx.doi.org/10.3390/en14020376.

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Nvidia is a leading producer of GPUs for high-performance computing and artificial intelligence, bringing top performance and energy-efficiency. We present performance, power consumption, and thermal behavior analysis of the new Nvidia DGX-A100 server equipped with eight A100 Ampere microarchitecture GPUs. The results are compared against the previous generation of the server, Nvidia DGX-2, based on Tesla V100 GPUs. We developed a synthetic benchmark to measure the raw performance of floating-point computing units including Tensor Cores. Furthermore, thermal stability was investigated. In addition, Dynamic Frequency and Voltage Scaling (DVFS) analysis was performed to determine the best energy-efficient configuration of the GPUs executing workloads of various arithmetical intensities. Under the energy-optimal configuration the A100 GPU reaches efficiency of 51 GFLOPS/W for double-precision workload and 91 GFLOPS/W for tensor core double precision workload, which makes the A100 the most energy-efficient server accelerator for scientific simulations in the market.
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Dissertations / Theses on the topic "Server computing Evaluation"

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Khan, Majid, and Muhammad Faisal Amin. "Web Server Performance Evaluation in Cloud Computing and Local Environment." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1965.

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Context: Cloud computing is a concept in which a user get services like SaaS, PaaS and IaaS by deploying their data and application on remotely servers. Users have to pay only for the time the resources are acquired. They do not need to install and upgrade software and hardware. Due to these benefits organization are willing to move their data into the cloud and minimize their overhead. Organizations need to confirm that cloud can replace the traditional platform, software and hardware in an efficient way and provide robust performance. Web servers play a vital role providing services and deploying application. One might be interested to have information about a web server performance in the cloud. With this aim, we have compared cloud server performance with a local web server. Objectives: The objective of this study is to investigate cloud performance. For this purpose, we first find out the parameters and factors that affect a web server performance. Finding the parameters helped us in measuring the actual performance of a cloud server on some specific task. These parameters will help users, developers and IT specialists to measure cloud performance based on their requirements and needs. Methods: In order to fulfill the objective of this study, we performed a Systematic literature review and an experiment. The Systematic literature review is performed by studying articles from electronic sources including ACM Digital Library, IEEE, EiVillage (Compendx,Inspec). The Snowball method is used to minimize the chance of missing articles and to increase the validity of our findings. In experiment, two performance parameters (Throughput and Execution Time) are used to measure the performance of the Apache Web Server in Local and Cloud environment. Results: In Systematic literature review, we found many factors that affect the performance of a web server in Cloud computing. Most common of them are throughput, response time, execution time, CPU and other resource utilization. The experimental results revealed that web server performed well in local environment as compared to cloud environment. But there are other factors like cost overhead, software/ hardware configuration, software/hardware up -gradation and time consumption due to which cloud computing cannot be neglected. Conclusions: The parameters that affect the cloud performance are throughput, response time, execution time, CPU utilization and memory utilization. Increase and decrease in values of these parameters can affect cloud performance to a great extent. Overall performance of a cloud is not that effective but there are other reasons for using cloud computing
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Posey, Orlando Guy. "Client/Server Systems Performance Evaluation Measures Use and Importance: a Multi-Site Case Study of Traditional Performance Measures Applied to the Client/Server Environment." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc277882/.

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This study examines the role of traditional computing performance measures when used in a client/server system (C/SS) environment. It also evaluates the effectiveness of traditional computing measures of mainframe systems for use in C/SS. The underlying problem was the lack of knowledge about how performance measures are aligned with key business goals and strategies. This research study has identified and evaluated client/server performance measurements' importance in establishing an effective performance evaluation system. More specifically, this research enables an organization to do the following: (1) compare the relative states of development or importance of performance measures, (2) identify performance measures with the highest priority for future development, (3) contrast the views of different organizations regarding the current or desired states of development or relative importance of these performance measures.
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Chughtai, Fawad. "A Java Toolkit for Distributed Evaluation of Hypergeometric Series." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1074.

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Hypergoemetric Series are very important in mathematics and come up regularly when dealing with the precise definitions of constants such as e, π and Apery's constant ς(3). The evaluation of such series to high precision is traditionally done with multiple divisions, multiplications and factorials, which all takes a long time to compute, especially when the computation is done on a single machine. The interest lies in performing this computation in parallel and in a distributed fashion. In this thesis, we present a simple distributed toolkit for doing such computations by splitting the problem into smaller sub-problems, solving these sub-problems in parallel on distributed machines and then combining the result at the end. Our toolkit takes care of all the networking for the user; connectivity, dropped connections, management of the Clients and the Server. All the user has to provide is the definition of the problem; how to split the problem into sub-problems, how to solve the sub-problems and finally how to combine the sub-problems and produce a result. The toolkit records timings for computation as well as for communication. What is different about our application is that all the code is written in Java (which is completely machine independent) and all the Clients are Java Applets. This means that having a web browser in enough to take part in the computation when it is distributed over the internet. We are almost guaranteed that every computer on the internet has a web browser. The Java Plug-in (if unavailable) can easily be downloaded from Sun's web site. We present a comparison between Java's native BigInteger library and an FFT based Integer Library written by R. Howell of University of Kansas. This study is important since we are doing computations with very large integers. To test our system, we evaluate e to different number of digits of precision and show that our system truly works and is easy for anyone to use.
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Gu, Yan. "ROSENET: a remote server-based network emulation system." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22662.

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Thesis (Ph. D.)--Computing, Georgia Institute of Technology, 2008.
Committee Chair: Fujimoto, Richard; Committee Member: Ammar, Mostafa; Committee Member: Bader, David; Committee Member: Goldsman, David; Committee Member: Park, Haesun; Committee Member: Riley, George.
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Santiago, Calderón José Bayoán. "On Cluster Robust Models." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cgu_etd/132.

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Cluster robust models are a kind of statistical models that attempt to estimate parameters considering potential heterogeneity in treatment effects. Absent heterogeneity in treatment effects, the partial and average treatment effect are the same. When heterogeneity in treatment effects occurs, the average treatment effect is a function of the various partial treatment effects and the composition of the population of interest. The first chapter explores the performance of common estimators as a function of the presence of heterogeneity in treatment effects and other characteristics that may influence their performance for estimating average treatment effects. The second chapter examines various approaches to evaluating and improving cluster structures as a way to obtain cluster-robust models. Both chapters are intended to be useful to practitioners as a how-to guide to examine and think about their applications and relevant factors. Empirical examples are provided to illustrate theoretical results, showcase potential tools, and communicate a suggested thought process. The third chapter relates to an open-source statistical software package for the Julia language. The content includes a description for the software functionality and technical elements. In addition, it features a critique and suggestions for statistical software development and the Julia ecosystem. These comments come from my experience throughout the development process of the package and related activities as an open-source and professional software developer. One goal of the paper is to make econometrics more accessible not only through accessibility to functionality, but understanding of the code, mathematics, and transparency in implementations.
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Joldes, Mioara Maria. "Approximations polynomiales rigoureuses et applications." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2011. http://tel.archives-ouvertes.fr/tel-00657843.

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Quand on veut évaluer ou manipuler une fonction mathématique f, il est fréquent de la remplacer par une approximation polynomiale p. On le fait, par exemple, pour implanter des fonctions élémentaires en machine, pour la quadrature ou la résolution d'équations différentielles ordinaires (ODE). De nombreuses méthodes numériques existent pour l'ensemble de ces questions et nous nous proposons de les aborder dans le cadre du calcul rigoureux, au sein duquel on exige des garanties sur la précision des résultats, tant pour l'erreur de méthode que l'erreur d'arrondi.Une approximation polynomiale rigoureuse (RPA) pour une fonction f définie sur un intervalle [a,b], est un couple (P, Delta) formé par un polynôme P et un intervalle Delta, tel que f(x)-P(x) appartienne à Delta pour tout x dans [a,b].Dans ce travail, nous analysons et introduisons plusieurs procédés de calcul de RPAs dans le cas de fonctions univariées. Nous analysons et raffinons une approche existante à base de développements de Taylor.Puis nous les remplaçons par des approximants plus fins, tels que les polynômes minimax, les séries tronquées de Chebyshev ou les interpolants de Chebyshev.Nous présentons aussi plusieurs applications: une relative à l'implantation de fonctions standard dans une bibliothèque mathématique (libm), une portant sur le calcul de développements tronqués en séries de Chebyshev de solutions d'ODE linéaires à coefficients polynômiaux et, enfin, un processus automatique d'évaluation de fonction à précision garantie sur une puce reconfigurable.
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(11198013), Kevin Wee. "Creation, deconstruction, and evaluation of a biochemistry animation about the role of the actin cytoskeleton in cell motility." Thesis, 2021.

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External representations (ERs) used in science education are multimodal ensembles consisting of design elements to convey educational meanings to the audience. As an example of a dynamic ER, an animation presenting its content features (i.e., scientific concepts) via varying the feature’s depiction over time. A production team invited the dissertation author to inspect their creation of a biochemistry animation about the role of the actin cytoskeleton in cell motility and the animation’s implication on learning. To address this, the author developed a four-step methodology entitled the Multimodal Variation Analysis of Dynamic External Representations (MVADER) that deconstructs the animation’s content and design to inspect how each content feature is conveyed via the animation’s design elements.


This dissertation research investigated the actin animation’s educational value and the MVADER’s utility in animation evaluation. The research design was guided by descriptive case study methodology and an integrated framework consisting of the variation theory, multimodal analysis, and visual analytics. As stated above, the animation was analyzed using MVADER. The development of the actin animation and the content features the production team members intended to convey via the animation were studied by analyzing the communication records between the members, observing the team meetings, and interviewing the members individually. Furthermore, students’ learning experiences from watching the animation were examined via semi-structured interviews coupled with post- storyboarding. Moreover, the instructions of MVADER and its applications in studying the actin animation were reviewed to determine the MVADER’s usefulness as an animation evaluation tool.


Findings of this research indicate that the three educators in the production team intended the actin animation to convey forty-three content features to the undergraduate biology students. At least 50% of the student who participated in this thesis learned thirty-five of these forty-three (> 80%) features. Evidence suggests that the animation’s effectiveness to convey its features was associated with the features’ depiction time, the number of identified design elements applied to depict the features, and the features’ variation of depiction over time.


Additionally, one-third of the student participants made similar mistakes regarding two content features after watching the actin animation: the F-actin elongation and the F-actin crosslink structure in lamellipodia. The analysis reveals the animation’s potential design flaws that might have contributed to these common misconceptions. Furthermore, two disruptors to the creation process and the educational value of the actin animation were identified: the vagueness of the learning goals and the designer’s placement of the animation’s beauty over its reach to the learning goals. The vagueness of the learning goals hampered the narration scripting process. On the other hand, the designer’s prioritization of the animation’s aesthetic led to the inclusion of a “beauty shot” in the animation that caused students’ confusion.


MVADER was used to examine the content, design, and their relationships in the actin animation at multiple aspects and granularities. The result of MVADER was compared with the students’ learning outcomes from watching the animation to identify the characteristics of content’s depiction that were constructive and disruptive to learning. These findings led to several practical recommendations to teach using the actin animation and create educational ERs.


To conclude, this dissertation discloses the connections between the creation process, the content and design, and the educational implication of a biochemistry animation. It also introduces MVADER as a novel ER analysis tool to the education research and visualization communities. MVADER can be applied in various formats of static and dynamic ERs and beyond the disciplines of biology and chemistry.

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Books on the topic "Server computing Evaluation"

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Cashin, Jerry. Client/server operating systems: Evaluation and implementation. Charleston, S.C., U.S.A: Computer Technology Research Corp., 1995.

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F, Almeida Virgilio A., and Dowdy Larry, eds. Capacity planning and performance modeling: From mainframes to client-server systems. Englewood Cliffs, N.J: PTR Prentice Hall, 1994.

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Cameron, Fuller, Joyner John, and Dominey Andy, eds. Microsoft system center operations manager 2007 unleashed. Indianapolis, Ind: Sams Pub., 2008.

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Evaluating server technologies for Internet and Intranet applications. Charleston, S.C: Computer Technology Research Corp., 1997.

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The technology guide to accounting software: A handbook for evaluating vendor applications. Loveland, CO: Duke Press, 1997.

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Reenen, John Van. Is there a market for work group servers?: Evaluating market level demand elasticities using micro and macro models. London: Centre for Economic Performance, London School of Economics and Political Science, 2004.

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Documented BackOffice: A start-to-finish installation plan. New York: John Wiley, 1998.

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Meyler, Kerrie, Cameron Fuller, and John Joyner. Microsoft(R) System Center Operations Manager 2007 Unleashed. Sams, 2007.

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Plumley, Sue. Documented Backoffice: A Start-To-Finish Installation Plan. John Wiley & Sons, 1997.

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Book chapters on the topic "Server computing Evaluation"

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Vemulapalli, Saritha, and Shashi M. "An Effective Analysis of Server Log for Website Evaluation." In Advances in Intelligent Systems and Computing, 133–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35314-7_16.

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Lee, Myungho, Yeonseung Ryu, Tae-Sun Chung, and Neungsoo Park. "Performance Evaluation of a Chip-MultiThreading Server for High Performance Computing Applications." In High Performance Computing - HiPC 2006, 572–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11945918_54.

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Silva, Luís Moura. "Performance Evaluation of Mobile Agent Platforms and Comparison with Client-Server Technologies." In Mobile Agents in Networking and Distributed Computing, 299–322. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118135617.ch12.

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Aaqib, Syed Mutahar, and Lalitsen Sharma. "Evaluation and Comparison of Security Mechanisms In-Place in Various Web Server Systems." In Advances in Intelligent Systems and Computing, 441–47. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8848-3_42.

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Chudzikiewicz, Jan, Tomasz Malinowski, and Zbigniew Zieliński. "An Analytical Method of Server Placement in Regular Networks and Its Evaluation by Simulation Experiments." In Advances in Intelligent Systems and Computing, 13–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44354-6_2.

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Hu, Yongqing, Weixing Su, Yelin Xia, Han Lin, and Hanning Chen. "Research on Evaluation of Distributed Enterprise Research and Development (R & D) Design Resources Sharing Based on Improved Simulated Annealing AHP: A Case Study of Server Resources." In Advances in Intelligent Systems and Computing, 951–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_110.

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Abbas, Ash Mohammad, and Ravindra Kumar. "A Client Perceived Performance Evaluation of Web Servers." In Advances in Computing and Communications, 307–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22714-1_32.

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Zhang, Jianwei, and Alois Knoll. "Neuro-Fuzzy Modelling of Time Series." In Soft Computing for Risk Evaluation and Management, 140–54. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1814-7_9.

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Zhang, Yan. "Mobile Edge Caching." In Simula SpringerBriefs on Computing, 23–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83944-4_3.

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AbstractEdge caching is a key part of mobile edge computing. It not only can support the necessary task data for edge computing, but also enables powerful Internet of Things applications with massive amounts of data and various types of information in access networks. In this chapter, we present the architecture of the edge caching mechanism and introduce metrics for evaluating caching performance. We then discuss key issues in caching topology design, caching data scheduling, as well as caching server cooperation and present a case study of artificial intelligence–empowered edge caching.
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El Haj Ahmed, Ghofrane, Felipe Gil-Castiñeira, Enrique Costa-Montenegro, and Pablo Couñago-Soto. "System-on-Chip Evaluation for the Implementation of Video Processing Servers." In Advances in Intelligent Systems and Computing, 267–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56538-5_28.

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Conference papers on the topic "Server computing Evaluation"

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Takeda, Ayaka, Tomotaka Kimura, and Kouji Hirata. "Evaluation of edge cloud server placement for edge computing environments." In 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2019. http://dx.doi.org/10.1109/icce-tw46550.2019.8991970.

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Lodi, G., F. Panzieri, D. Rossi, and E. Turrini. "Experimental Evaluation of a QoS-aware Application Server." In Fourth IEEE International Symposium on Network Computing and Applications. IEEE, 2005. http://dx.doi.org/10.1109/nca.2005.19.

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Smirnov, Alexey, Mikhail Zhidko, Yingshiuan Pan, Po-Jui Tsao, Kuang-Chih Liu, and Tzi-Cker Chiueh. "Evaluation of a Server-Grade Software-Only ARM Hypervisor." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.71.

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Subramanian, Chandrasekar, Arunchandar Vasan, and Anand Sivasubramaniam. "Reducing data center power with server consolidation: Approximation and evaluation." In 2010 International Conference on High Performance Computing (HiPC). IEEE, 2010. http://dx.doi.org/10.1109/hipc.2010.5713161.

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Zhang, Lijun, and Qiuyu Zhu. "The Overtime Waiting Model for Web Server Performance Evaluation." In 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2014. http://dx.doi.org/10.1109/cyberc.2014.48.

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Wu, Kedong, Xiaoling Gao, and Yanhua Liu. "Web server security evaluation method based on multi-source data." In 2018 International Conference on Cloud Computing, Big Data and Blockchain (ICCBB). IEEE, 2018. http://dx.doi.org/10.1109/iccbb.2018.8756412.

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Paz, Alberto, Francisco Perez-Sorrosal, Marta Patino-Martinez, and Ricardo Jimenez-Peris. "Scalability Evaluation of the Replication Support of JOnAS, an Industrial J2EE Application Server." In 2010 European Dependable Computing Conference. IEEE, 2010. http://dx.doi.org/10.1109/edcc.2010.16.

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Darwish, Marwan, and Abdelkader Ouda. "Evaluation of an OAuth 2.0 protocol implementation for web server applications." In 2015 International Conference and Workshop on Computing and Communication (IEMCON). IEEE, 2015. http://dx.doi.org/10.1109/iemcon.2015.7344461.

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Inoue, Tomohide, Hideo Masuda, Masayuk Mori, and Takayuki Nagai. "Performance evaluation and effectiveness estimation of DNS server firewall based on OpenFlow." In ACIT 2021: The 8th International Virtual Conference on Applied Computing & Information Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3468081.3471123.

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Shao, Shuai, Tianyi Gao, Huawei Yang, Jie Zhao, and Jiajun Zhang. "Evaluation of Single Phase Immersion Cooling System for High Performance Server Chassis Using Dielectric Coolants." In ASME 2020 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipack2020-2670.

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Abstract:
Abstract Along with advancements in microelectronics packaging, the power density of processor units has steadily increased over time. Data center servers equipped for high performance computing (HPC) often use multiple central processing units (CPUs) and graphical processing units (GPUs), thereby resulting in an increased power density, exceeding 1 kW per U. Many data center organizations are evaluating single phase immersion technology as a potential energy and resource saving cooling option. In this work immersion cooling was studied at a power level of 2.7kW/U with a 5U-height immersion cooling tank. Heat generated by a simulated GPU server was transferred to the secondary loop coolant, and then exchanged with the primary loop facility coolant through the heat exchanger. The chiller supply and return temperature and flow rate was controlled for the primary loop. The simulated GPU server chassis was designed to provide thermal power equivalent to a high power density server. Eight simulated power heaters, of which each unit was the size of a GPU chipset, was assembled in the comparable location to a real IT equipment on a 4U server chassis. Power for the GPU simulated chassis was able to support up to 2700 W maximum. Three investigations for this immersion cooling system evaluation were performed through comprehensive testing. The first is to identify the key decision making factor(s) for evaluating the thermal performance of 4 hydrocarbon-based dielectric coolants, including power parametric analysis, transient analysis, power cycling test, and fluid temperature profiling. The second is to develop an optimization strategy for the immersion system thermal performance. The third is to verify the capability of an 1U heat sink to support high density processor units over 300 W per GPU in an immersion cooling solution.
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Reports on the topic "Server computing Evaluation"

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Ruiz, Pati, Eleanor Richard, Carly Chillmon, Zohal Shah, Adam Kurth, Andy Fekete, Kip Glazer, et al. Emerging Technology Adoption Framework: For PK-12 Education. Digital Promise, October 2022. http://dx.doi.org/10.51388/20.500.12265/161.

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The Emerging Technology Adoption Framework was created with education community members to help ensure that educational leaders, technology specialists, teachers, students, and families are all part of the evaluation and adoption process for placing emerging technologies in PK-12 classrooms. We engaged an Emerging Technology Advisory Board through Educator CIRCLS based out of The Center for Integrative Research in Computing and Learning Sciences (CIRCLS) and gathered additional feedback from researchers, policy experts, the edtech community, educators, and families to ground our work through a community of experts. This framework is specifically designed to include community members in the process of making informed evaluation and procurement decisions and outlines the important criteria to consider during three stages of emerging technology implementation: (1) initial evaluation, (2) adoption, and (3) post-adoption. Each criterion has specific questions that can be asked of decision makers, district leaders, technology researchers and developers, educators, and students and families, as well as resources and people who might serve as resources when answering these questions.
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