JOURNAL ARTICLE

Cloud data centers revenue maximization using server consolidation: Modeling and evaluation

Abstract

Cloud based data centers (DC) offering of virtually unlimited processing and storage capabilities faced a critical downside related to the enormous power consumption requirements. Powering and cooling DC has considerable share of the total DC operational costs in addition to the carbon tax. Server consolidation has been proposed as one viable solution that guarantees efficient power usage while maintaining quality of service requirements for the DC's services. This approach is simply about turning on and off the DC resources based on the incoming workload. In this paper, we are extending our previous work on expansion strategies for cloud services providers by considering the server consolidation technique in order to maximize the DC revenues while maintaining their service quality and reducing their carbon footprints.

Keywords:
Cloud computing Data center Consolidation (business) Computer science Revenue Quality of service Workload Server Server farm Computer network Operating system Business Client–server model Finance

Metrics

6
Cited By
1.79
FWCI (Field Weighted Citation Impact)
28
Refs
0.88
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
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
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