Abstract

Energy saving in a Cloud Computing environment is a multidimensional challenge, which can directly decrease the in-use costs and carbon dioxide emission, while raising the system consistency.We in this paper, suggest the energy saving with task consolidation, by minimizing the number of unused resources in a cloud computing environment.In this paper, it is proposed that task consolidation using Minimization Of IDLE VM algorithm.The existing ECTC has been compared with the recital of the recommend algorithms, and MaxMaxUtil energy conscious task consolidation algorithms (i.e. it minimizes the number of idle resources by allocating a task at an instance to a VM which is currently idle).The outcomes have shown that the suggested algorithms surpass the ECTC and MaxMaxUtil algorithm in terms of the CPU utilization and energy consumption.

Keywords:
Cloud computing Consolidation (business) Computer science Task (project management) Distributed computing Business Operating system Engineering Systems engineering Accounting

Metrics

1
Cited By
0.56
FWCI (Field Weighted Citation Impact)
13
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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