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Related papers: Virtual Machine Placement Literature Review

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Cloud workloads today are typically managed in a distributed environment and processed across geographically distributed data centers. Cloud service providers have been distributing data centers globally to reduce operating costs while also…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-18 Ninad Hogade , Sudeep Pasricha

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

Cloud platforms are increasingly being used to run HPC workloads. Major cloud providers offer a wide variety of virtual machine (VM) types, enabling users to find the optimal balance between performance and cost. However, this extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-26 Marco A. S. Netto

Bin packing is a well studied problem involved in many applications. The classical bin packing problem is about minimising the number of bins and ignores how the bins are utilised. We focus in this paper, on a variant of bin packing that is…

Data Structures and Algorithms · Computer Science 2015-09-23 Hadrien Cambazard , Deepak Mehta , Barry O'Sullivan , Helmut Simonis

Network Functions Virtualization (NFV) allows implantation of network functions to be independent of dedicated hardware devices. Any series of services can be represented by a service function chain which contains a set of virtualized…

Networking and Internet Architecture · Computer Science 2019-10-08 Weihan Chen , Xia Yin , Zhiliang Wang , Xingang Shi

Existing VM placement schemes have measured their effectiveness solely by looking either Physical Machine's resources(CPU, memory) or network resource. However, real applications use all resource types to varying degrees. The result of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-24 Mayank Mishra , Umesh Bellur

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

This work proposes an energy-efficient resource provisioning and allocation framework to meet the dynamic demands of future applications. The frequent variations in a cloud user's resource demand lead 'to the problem of excess power…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-06 Deepika Saxena , Ashutosh Kumar Singh

This paper presents a theoretical discussion for environmentally-conscious job deployment and migration in cloud environments, aiming to minimize the environmental impact of resource provisioning while incorporating sustainability…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-17 Giulio Attenni , Novella Bartolini

This paper addresses the impact of Virtual Memory Streaming (VMS) technique in provisioning virtual machines (VMs) in cloud environment. VMS is a scaling virtualization technology that allows different virtual machines rapid scale, high…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-24 A B M Moniruzzaman , Kawser Wazed Nafi , Syed Akther Hossain

In this report we demonstrate the potential utility of resource allocation management systems that use virtual machine technology for sharing parallel computing resources among competing jobs. We formalize the resource allocation problem…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-29 Mark Stillwell , David Schanzenbach , Frédéric Vivien , Henri Casanova

Cloud computing has become a pivotal platform for executing scientific workflows due to its scalable and cost-effective infrastructure. Scientific Cloud Service Providers (SCSPs) act as intermediaries that rent virtual machines (VMs) from…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-01 Suvarthi Sarkar , Sparsh Mittal , Shivam Garg , Aryabartta Sahu

Infrastructure-as-a-Service providers are offering their unused resources in the form of variable-priced virtual machines (VMs), known as "spot instances", at prices significantly lower than their standard fixed-priced resources. To lease…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-03 William Voorsluys , Saurabh Kumar Garg , Rajkumar Buyya

Several scientific and industry applications require High Performance Computing (HPC) resources to process and/or simulate complex models. Not long ago, companies, research institutes, and universities used to acquire and maintain…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-21 Kiran Mantripragada , Leonardo P. Tizzei , Alecio P. D. Binotto , Marco A. S. Netto

The ever increasing demand for computing resources has led to the creation of hyperscale datacentres with tens of thousands of servers. As demand continues to rise, new technologies must be incorporated to ensure high quality services can…

Networking and Internet Architecture · Computer Science 2020-02-03 Joseph Billingsley , Ke Li , Wang Miao , Geyong Min , Nektarios Georgalas

With the growing demand for data connectivity, network service providers are faced with the task of reducing their capital and operational expenses while simultaneously improving network performance and addressing the increased connectivity…

Signal Processing · Electrical Eng. & Systems 2020-01-23 Dimitrios Michael Manias , Manar Jammal , Hassan Hawilo , Abdallah Shami , Parisa Heidari , Adel Larabi , Richard Brunner

The Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Nowadays, an important topic that is considered a lot is how to integrate Machine Learning(ML) to cloud resources management. In this study, our goal is to explore the most important cloud resources management issues that have been combined…

Machine Learning · Computer Science 2021-01-29 V. N. Tsakalidou , P. Mitsou , G. A. Papakostas

Modern educational institutions widely used virtual laboratories and cloud technologies. In practice must deal with security, processing speed and other tasks. The paper describes the experience of the construction of an experimental stand…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-16 Evgeniy Pluzhnik , Evgeny Nikulchev

A key strategy to build disaster-resilient clouds is to employ backups of virtual machines in a geo-distributed infrastructure. Today, the continuous and acknowledged replication of virtual machines in different servers is a service…

Networking and Internet Architecture · Computer Science 2015-10-21 Rodrigo de Souza Couto , Stefano Secci , Miguel Elias Mitre Campista , Luís Henrique Maciel Kosmalski Costa