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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shengkai Shi Chuan Wu Zongpeng Li |
| Copyright Year | 2015 |
| Description | Author affiliation: Univ. of Calgary, Calgary, AB, Canada (Zongpeng Li) || Univ. of Hong Kong, Hong Kong, China (Shengkai Shi; Chuan Wu) |
| Abstract | Recent years witness the proliferation of Infrastructure-as-a-Service (IaaS) cloud services, which provide on-demand resources (CPU, RAM, disk) in the form of virtual machines (VMs) for hosting applications/services of third parties. Given the state-of-the-art IaaS offerings, it is still a problem of fundamental importance how the Application Service Providers (ASPs) should rent VMs from the clouds to serve their application needs, in order to minimize the cost while meeting their job demands over a long run. Cloud providers offer different pricing options to meet computing requirements of a variety of applications. However, the challenge facing an ASP is how these pricing options can be dynamically combined to serve arbitrary demands at the optimal cost. In this paper, we propose an online VM purchasing algorithm based on the Lyapunov optimization technique, for minimizing the long-term-averaged VM rental cost of an ASP with time-varying and delay-tolerant workloads, while bounding the maximum response delay of its jobs. In stark contrast with the existing studies, the proposed algorithm enables an ASP to optimally decide the amount of reserved, on-demand and spot instances to purchase simultaneously. Rigorous analysis shows that our algorithm can achieve a time-averaged resource cost close to the offline optimum. Trace-driven simulations further verify the efficacy of our algorithm. |
| Starting Page | 146 |
| Ending Page | 154 |
| File Size | 1472869 |
| Page Count | 9 |
| File Format | |
| ISSN | 21596190 |
| e-ISBN | 9781467372879 |
| DOI | 10.1109/CLOUD.2015.29 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Cloud computing Heuristic algorithms Pricing Minimization Delays Optimization |
| Content Type | Text |
| Resource Type | Article |
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