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Joint network embedding and server consolidation for energy–efficient dynamic data center virtualization
- Source :
- Computer Networks. 125:76-89
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Cloud computing has emerged in recent years as a promising paradigm that facilitates such new service models as Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). As the number of cloud service provider increases, there exists a demand to dynamically provision virtual data centers (VDC) on top of the infrastructure provider’s physical data centers. This research addresses problems related to energy and resource efficiently embedding virtual data centers inside physical data centers under dynamic resource allocation conditions, in which VDCs continuously join and leave the system. Dynamic VDC embedding is challenging as it is an NP-hard problem that should meet multiple objectives. In this article, we propose heuristic joint VDC embedding – server consolidation approaches as one solution for that problem. Evaluation results show that the joint approach outperforms existing ones in terms of resource and energy efficiency and can keep system complexity acceptable.
- Subjects :
- Service (systems architecture)
Computer Networks and Communications
business.industry
Computer science
Heuristic (computer science)
Dynamic data
Distributed computing
Software as a service
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Cloud service provider
Virtualization
computer.software_genre
03 medical and health sciences
0302 clinical medicine
030220 oncology & carcinogenesis
0202 electrical engineering, electronic engineering, information engineering
business
computer
Computer network
Efficient energy use
Subjects
Details
- ISSN :
- 13891286
- Volume :
- 125
- Database :
- OpenAIRE
- Journal :
- Computer Networks
- Accession number :
- edsair.doi...........55df2aeec1fd8426205ab0df3e754028