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Virtualization technology and cloud computing have brought a paradigm shift in the way we utilize, deploy and manage computer resources. They allow fast deployment of multiple operating system as containers on physical ma- chines which can…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-30 Omer Khalid , Arsalaan Sheikh , Brice Copy

Virtual machine images and instances (VMs) in cloud computing centres are typically designed as isolation containers for applications, databases and networking functions. In order to build complex distributed applications, multiple virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-09-24 Josef Spillner , Andrii Chaichenko , Andrey Brito , Francisco Brasileiro , Alexander Schill

Benchmarking is how the performance of a computing system is determined. Surprisingly, even for classical computers this is not a straightforward process. One must choose the appropriate benchmark and metrics to extract meaningful results.…

Quantum Physics · Physics 2021-05-07 Salonik Resch , Ulya R. Karpuzcu

Qualifying and ranking threat degrees of vulnerabilities in cloud service are known to be full of challenges. Although there have been several efforts aiming to address this problem, most of them are too simple or cannot be applied into…

Cryptography and Security · Computer Science 2016-12-07 He Zhu

Traditional memory management suffers from metadata overhead, architectural complexity, and stability degradation, problems intensified in cloud environments. Existing software/hardware optimizations are insufficient for cloud computing's…

Cloud computing aims to power the next generation data centers and enables application service providers to lease data center capabilities for deploying applications depending on user QoS (Quality of Service) requirements. Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-07-29 Rajkumar Buyya , Rajiv Ranjan , Rodrigo N. Calheiros

With the rapid development of virtualization techniques, cloud data centers allow for cost effective, flexible, and customizable deployments of applications on virtualized infrastructure. Virtual machine (VM) placement aims to assign each…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-22 Abdulaziz Alashaikh , Eisa Alanazi , Ala Al-Fuqaha

Cloud computing has been widely adopted due to the flexibility in resource provisioning and on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically provisioned to meet the computational demands of users.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-27 Long Thai , Blesson Varghese , Adam Barker

Although Cloud computing emerged for business applications in industry, public Cloud services have been widely accepted and encouraged for scientific computing in academia. The recently available Google Compute Engine (GCE) is claimed to…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-25 Zheng Li , Liam O'Brien , Rajiv Ranjan , Miranda Zhang

For scientific software, especially those used for large-scale simulations, achieving good performance and efficiently using the available hardware resources is essential. It is important to regularly perform benchmarks to ensure the…

Fog computing envisions that deploying services of an application across resources in the cloud and those located at the edge of the network may improve the overall performance of the application when compared to running the application on…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-26 Jonathan McChesney , Nan Wang , Ashish Tanwer , Eyal de Lara , Blesson Varghese

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

The cloud computing paradigm underlines data center and telecommunication infrastructure design. Heavily leveraging virtualization, it slices hardware and software resources into smaller software units for greater flexibility of…

Networking and Internet Architecture · Computer Science 2026-02-06 Pedro R. X. do Carmo , Eduardo Freitas , Assis T. de Oliveira Filho , Judith Kelner , Djamel Sadok

Virtualization has gained astonishing popularity in recent decades. It is applied in several application domains, including mainframes, personal computers, data centers, and embedded systems. While the benefits of virtualization are no…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-15 Joel Mandebi Mbongue , Danielle Tchuinkou Kwadjo , Christophe Bobda

The cloud computing industry has grown rapidly over the last decade, and with this growth there is a significant increase in demand for compute resources. Demand is manifested in the form of Virtual Machine (VM) requests, which need to be…

Data Structures and Algorithms · Computer Science 2020-11-13 Niv Buchbinder , Yaron Fairstein , Konstantina Mellou , Ishai Menache , Joseph , Naor

Cloud computing technology has been one of the most critical developments in provisioning both hardware and software infrastructure in recent years. Container technology is a new cloud technology that boosts the booting of applications,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-01 Abdullah Alelyani , Ghulam Mubasher Hassan , Amitava Datta

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metrics. In this work, we present a scalable framework for…

Choosing the right resource can speed up job completion, better utilize the available hardware, and visibly reduce costs, especially when renting computers in the cloud. This was demonstrated in earlier studies on HEPCloud. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-30 Marco Mambelli , Shrijan Swaminathan

Cloud providers introduce features (e.g., Spot VMs, Harvest VMs, and Burstable VMs) and optimizations (e.g., oversubscription, auto-scaling, power harvesting, and overclocking) to improve efficiency and reliability. To effectively utilize…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Anjaly Parayil , Jue Zhang , Xiaoting Qin , Íñigo Goiri , Lexiang Huang , Timothy Zhu , Chetan Bansal

Cloud benchmarks suffer from performance fluctuations caused by resource contention, network latency, hardware heterogeneity, and other factors along with decisions taken in the benchmark design. In particular, the sampling strategy of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-24 Saman Akbari , Manfred Hauswirth