- Title
- Energy-aware virtual machine consolidation in IaaS cloud computing
- Creator
- Ferdaus, Md Hasanul; Murshed, Manzur
- Date
- 2014
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/155129
- Identifier
- vital:11245
- Identifier
-
https://doi.org/10.1007/978-3-319-10530-7_8
- Identifier
- ISBN:978-3-31910530-7
- Abstract
- With immense success and rapid growth within the past few years, cloud computing has been established as the dominant paradigm of IT industry. To meet the increasing demand of computing and storage resources, infrastructure cloud providers are deploying planet-scale data centers across the world, consisting of hundreds of thousands, even millions of servers. These data centers incur very high investment and operating costs for the compute and network devices as well as for the energy consumption. Moreover, because of the huge energy usage, such data centers leave large carbon footprints and thus have adverse effects on the environment. As a result, efficient computing resource utilization and energy consumption reduction are becoming crucial issues to make cloud computing successful. Intelligent workload placement and relocation is one of the primary means to address these issues. This chapter presents an overview of the infrastructure resource management systems and technologies and detailed description of the proposed solution approaches for efficient cloud resource utilization and minimization of power consumption and resource wastages. Different types of server consolidation mechanisms are presented along with the solution approaches proposed by the researchers of both academia and industry. Various aspects of workload reconfiguration mechanisms and existing works on workload relocation techniques are described.
- Publisher
- Springer International Publishing
- Relation
- Cloud Computing : Challenges, Limitations and R&D Solutions (Computer Communications and Networks series) Chapter 8 p. 179-208
- Rights
- Copyright © Springer International Publishing Switzerland 2014
- Rights
- This metadata is freely available under a CCO license
- Subject
- Cloud computing; Energy-awareness; Virtualization; Server consolidation; Reconfiguration; Virtual machine migration; Combinatorial optimization
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