Optimizing virtual machine placement for energy and SLA in clouds using utility functions
Abstract Cloud computing provides on-demand access to a shared pool of computing resources, which enables organizations to outsource their IT infrastructure. Cloud providers are building data centers to handle the continuous increase in cloud users’ demands. Consequently, these cloud data centers co...
Main Authors: | Abdelkhalik Mosa, Norman W. Paton |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2016-10-01
|
Series: | Journal of Cloud Computing: Advances, Systems and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13677-016-0067-7 |
Similar Items
-
SLA for Cloud processing: use cases for satellite image processing, disaster management and IoT
by: George-Valentin IORDACHE, et al.
Published: (2020-12-01) -
SLA-ORECS: an SLA-oriented framework for reallocating resources in edge-cloud systems
by: Shizhan Lan, et al.
Published: (2024-01-01) -
An automated resource management framework for minimizing SLA violations and negotiation in collaborative cloud
by: K.S. Sendhil Kumar, et al.
Published: (2020-06-01) -
A Weighted PageRank-Based Algorithm for Virtual Machine Placement in Cloud Computing
by: Wenbin Yao, et al.
Published: (2019-01-01) -
SLA-Aware and Energy-Efficient Virtual Machine Placement and Consolidation in Heterogeneous DVFS Enabled Cloud Datacenter
by: Badieh Nikzad, et al.
Published: (2022-01-01)