Results 81 to 90 of about 320,800 (188)

Embedding individualized machine learning prediction models for energy efficient VM consolidation within Cloud data centers

open access: yes, 2022
The fast growth in demand for utility-based IT services has lead to the formation of large scale Cloud data centers. The electrical energy consumption of these data centers results in high operational costs and carbon dioxide emissions.
Walker, Cameron   +4 more
core   +1 more source

A Rank-based VM Consolidation Method for Power Saving in Datacenters

open access: yesIPSJ Online Transactions, 2010
In this paper, we propose a simple but flexible virtual machine consolidation method for power saving. This method is specifically designed for datacenters where heterogeneous high-density blade servers host dozens or even hundreds of virtual machines. This method utilizes an extended First-Fit Decreasing (FFD) algorithm.
Takeda, Shingo, Takemura, Toshinori
openaire   +2 more sources

A Survey of Virtual Machine Placement Techniques and VM Selection Policies in Cloud Datacenter [PDF]

open access: yes, 2016
The large scale virtualized data centers have been established due to the requirement of rapid growth in computational power driven by cloud computing model .
, S. Poovizhi, N. Jayanthi
core   +1 more source

A Tree Regression-Based Approach for VM Power Metering

open access: yesIEEE Access, 2015
Cloud computing is developing so fast that more and more data centers have been built every year. This naturally leads to high-power consumption. Virtual machine (VM) consolidation is the most popular solution based on resource utilization. In fact, much
Chonglin Gu   +4 more
doaj   +1 more source

Software consolidation as an efficient energy and cost saving solution [PDF]

open access: yes, 2016
Virtual machines (VM) are used in cloud computing environments to isolate different software. They also support live migration, and thus dynamic VM consolidation. This possibility can be used to reduce power consumption in the cloud.
Safieddine, Ibrahim   +4 more
core   +1 more source

A Game Based Consolidation Method of Virtual Machines in Cloud Data Centers With Energy and Load Constraints

open access: yesIEEE Access, 2018
To reduce energy consumption and balance the resource load of physical machines (PMs) in cloud data centers, we present a game-based consolidation method of virtual machines (VMs) with energy and load (applied load) constraints.
Liangmin Guo   +4 more
doaj   +1 more source

Q-Learning based VM Consolidation Approach for Enhancing Cloud Data Centres Power Efficiency [PDF]

open access: yesE3S Web of Conferences
Energy consumption has become a common problem since days. Addressing the energy related problem is a challenging task. There are various strategies present to minimize this problem.
Baikani Sreenithya   +5 more
doaj   +1 more source

Green Cloud - Load Balancing, Load Consolidation using VM Migration [PDF]

open access: yes, 2017
Recently, cloud computing is a new trend emerging in computer technology with a massive demand from the clients. To meet all requirements, a lot of cloud data centers have been constructed since 2008 when Amazon published their cloud service. The rapidly
Do, Manh Duc
core  

Multi-Dimensional Regression Host Utilization algorithm (MDRHU) for Host Overload Detection in Cloud Computing

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2019
The use of cloud computing data centers is growing rapidly to meet the tremendous increase in demand for high-performance computing (HPC), storage and networking resources for business and scientific applications.
Ali A. El-Moursy   +3 more
doaj   +1 more source

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