- Title
- Dynamic virtual machine consolidation algorithms for energy-efficient cloud resource management : A review
- Creator
- Khan, Md Anit; Paplinski, Andrew; Khan, Abdul; Murshed, Manzur; Buyya, Rajkumar
- Date
- 2017
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/164156
- Identifier
- vital:13005
- Identifier
-
https://doi.org/10.1007/978-3-319-62238-5_6
- Identifier
- ISBN:9783319622385 (ISBN); 9783319622378 (ISBN)
- Abstract
- As envisioned by Leonard Kleinrock [1], Cloud computing has transformed the dream of “computing as a utility” into reality, so much so it has turned out as the latest computing paradigm [2]. Cloud computing is called as Service-on-demand, as Cloud Service Providers (CSPs) assure users about potentially unlimited amount of resources that can be chartered on demand. It is also known as elastic computing, since Cloud Service Users (CSUs) can dynamically scale, expand, or shrink their rented resources anytime and expect to pay for the exact tenure of resource usage under Service Level Agreements (SLA). Through such flexibilities and financial benefits, CSPs have been attracting millions of clients who are simultaneously sharing the underlying computing and storage resources that are collectively known as Cloud data centers.
- Publisher
- Springer International Publishing
- Relation
- Sustainable Cloud and Energy Services : Principles and Practice Chapter 6 p. 135-165
- Rights
- Copyright © Springer International Publishing AG 2018
- Rights
- This metadata is freely available under a CCO license
- Subject
- Cloud computing; Cloud resource management; Dynamic virtual machine consolidation algorithms
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