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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongxing Li Chuan Wu Zongpeng Li Lau, F.C.M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada (Zongpeng Li) || Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China (Hongxing Li; Chuan Wu; Lau, F.C.M.) |
| Abstract | The emerging federated cloud paradigm advocates sharing of resources among cloud providers, to exploit temporal availability of resources and diversity of operational costs for job serving. While extensive studies exist on enabling interoperability across different cloud platforms, a fundamental question on cloud economics remains unanswered: When and how should a cloud trade VMs with others, such that its net profit is maximized over the long run? In order to answer this question by the federation, a number of important, correlated decisions, including job scheduling, server provisioning and resource pricing, need to be dynamically made, with long-term profit optimality being a goal. In this work, we design efficient algorithms for inter-cloud resource trading and scheduling in a federation of geo-distributed clouds. For VM trading among clouds, we apply a double auction-based mechanism that is strategy proof, individual rational, and ex-post budget balanced. Coupling with the auction mechanism is an efficient, dynamic resource trading and scheduling algorithm, which carefully decides the true valuations of VMs in the auction, optimally schedules stochastic job arrivals with different SLAs onto the VMs, and judiciously turns on and off servers based on the current electricity prices. Through rigorous analysis, we show that each individual cloud, by carrying out our dynamic algorithm, can achieve a time-averaged profit arbitrarily close to the offline optimum. |
| Starting Page | 25 |
| Ending Page | 29 |
| File Size | 199135 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467359443 |
| ISSN | 0743166X |
| e-ISBN | 9781467359467 |
| DOI | 10.1109/INFCOM.2013.6566728 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-04-14 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Servers Heuristic algorithms Electricity Dynamic scheduling Cost accounting Schedules Delays |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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