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Related papers: Optimal Placement Algorithms for Virtual Machines

200 papers

In this paper, we show that performance of the virtualized cluster servers could be improved through intelligent decision over migration time of Virtual Machines across heterogeneous physical nodes of a cluster server. The cluster serves a…

Operating Systems · Computer Science 2010-02-18 M. Tarighi , S. A. Motamedi , S. Sharifian

The biggest overhead for the instantiation of a virtual machine in a cloud infrastructure is the time spent in transferring the image of the virtual machine into the physical node that executes it. This overhead becomes larger for requests…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-23 Álvaro López García , Enol Fernández del Castillo

A robotic network is a system with multiple robots connected by a communication network. Certain tasks that cannot be accomplished with available robotic resources are candidates for the use of cloud robotics, which overcomes the…

Robotics · Computer Science 2022-05-30 Saeid Alirezazadeh , André Correia , Luís A. Alexandre

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

Underutilization of computing resources and high power consumption are two primary challenges in the domain of Cloud resource management. This paper deals with these challenges through offline, migration impact-aware, multi-objective…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-22 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

In the rapidly evolving research on artificial intelligence (AI) the demand for fast, computationally efficient, and scalable solutions has increased in recent years. The problem of optimizing the computing resources for distributed machine…

Machine Learning · Computer Science 2025-10-30 Mohammadreza Doostmohammadian , Zulfiya R. Gabidullina , Hamid R. Rabiee

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-11 Jammily Ortigoza , Fabio Lopez-Pires , Benjamın Baran

Cloud computing has emerged as a powerful and elastic platform for internet service hosting, yet it also draws concerns of the unpredictable performance of cloud-based services due to network congestion. To offer predictable performance,…

Networking and Internet Architecture · Computer Science 2017-01-10 Ruozhou Yu , Guoliang Xue , Xiang Zhang , Dan Li

With the growing demand for openness, scalability, and granularity, mobile network function virtualization (NFV) has emerged as a key enabler for most mobile network operators. NFV decouples network functions from hardware devices. This…

Networking and Internet Architecture · Computer Science 2022-04-04 Wissal Attaoui , Essaid Sabir , Halima Elbiaze , Mohsen Guizani

Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between minimizing energy consumption and…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-10-30 Nguyen Quang-Hung , Nam Thoai , Nguyen Thanh Son , Duy-Khanh Le

Efficient virtual machine (VM) management can dramatically reduce energy consumption in data centers. Existing VM management algorithms fall into two categories based on whether the VMs' resource demands are assumed to be static or dynamic.…

Networking and Internet Architecture · Computer Science 2016-02-02 Zhenhua Han , Haisheng Tan , Guihai Chen , Rui Wang , Yifan Chen , Francis C. M. Lau

In mobile edge computing (MEC) systems, users offload computationally intensive tasks to edge servers at base stations. However, with unequal demand across the network, there might be excess demand at some locations and underutilized…

Information Theory · Computer Science 2021-01-18 Marie Siew , Kun Guo , Desmond Cai , Lingxiang Li , Tony Q. S. Quek

Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

The technologies of heterogeneous multi-core architectures, co-location, and virtualization can be used to reduce server power consumption and improve system utilization, which are three important technologies for data centers. This article…

Operating Systems · Computer Science 2023-10-24 Yecheng Yang , Pu Pang , Jiawen Wang , Quan Chen , Minyi Guo

Network Function Virtualization (NFV) can cost-efficiently provide network services by running different virtual network functions (VNFs) at different virtual machines (VMs) in a correct order. This can result in strong couplings between…

Systems and Control · Computer Science 2018-04-20 Xiaojing Chen , Wei Ni , Tianyi Chen , Iain B. Collings , Xin Wang , Ren Ping Liu , Georgios B. Giannakis

The use of cloud computational resources has become increasingly important for companies and researchers to access on-demand and at any moment high-performance resources. However, given the wide variety of virtual machine types, network…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-30 Vanderson Martins Do Rosario , Thais A. Silva Camacho , Otávio O. Napoli , Edson Borin

This paper investigates the opportunities and limitations of adaptive virtual machine (VM) migration to reduce communication costs in a virtualized environment. We introduce a new formal model for the problem of online VM migration in two…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-09-24 Chen Avin , Omer Dunay , Stefan Schmid

When a network application is implmented as a virtual machine on a cloud and is used by a large number of users, the location of the virtual machine should be selected carefully so that the response time experienced by users is minimized.…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-10 Young-Chul Shim

Network virtualization has caught the attention of many researchers in recent years. It facilitates the process of creating several virtual networks over a single physical network. Despite this advantage, however, network virtualization…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-01 Amal S. Alzahrani , Ashraf A. Shahin