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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/1135073
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- Title
- Profit-driven service request scheduling in clouds
- Related
- IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing (10th : 2010) (17 - 20 May 2010 : Melbourne)
- Related
- Parashar, Manish and Buyya, Rajkumar. CCGrid 2010 : 10th IEEE/ACM International Conference on Cluster, Cloud, and Grid Computing : proceedings, p.15-24
- DOI
- 10.1109/CCGRID.2010.83
- Publisher
- Piscataway, NJ : IEEE
- Date
- 2010
- Author/Creator
- Lee, Young Choon
- Author/Creator
- Wang, Chen
- Author/Creator
- Zomaya, Albert Y
- Author/Creator
- Zhou, Bing Bing
- Description
- A primary driving force of the recent cloud computing paradigm is its inherent cost effectiveness. As in many basic utilities, such as electricity and water, consumers/clients in cloud computing environments are charged based on their service usage; hence the term 'pay-peruse'. While this pricing model is very appealing for both service providers and consumers, fluctuating service request volume and conflicting objectives (e.g., profit vs. response time) between providers and consumers hinder its effective application to cloud computing environments. In this paper, we address the problem of service request scheduling in cloud computing systems. We consider a three-tier cloud structure, which consists of infrastructure vendors, service providers and consumers, the latter two parties are particular interest to us. Clearly, scheduling strategies in this scenario should satisfy the objectives of both parties. Our contributions include the development of a pricing model-using processor-sharing-for clouds, the application of this pricing model to composite services with dependency consideration (to the best of our knowledge, the work in this study is the first attempt), and the development of two sets of profit-driven scheduling algorithms.
- Description
- 10 page(s)
- Subject Keyword
- scheduling
- Subject Keyword
- cloud computing
- Subject Keyword
- market-based resource allocation
- Subject Keyword
- processor-sharing
- Subject Keyword
- mashup services
- Resource Type
- conference paper
- Organisation
- Macquarie University. Department of Computing
- Identifier
- http://hdl.handle.net/1959.14/1135073
- Identifier
- mq:53447
- Identifier
- ISBN:9781424469871
- Identifier
- mq-rm-2014004557
- Identifier
- mq_res-se-549984
- Language
- eng
- Reviewed
Macquarie University ResearchOnline
