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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ma, Longjie Wu, Jigang Chen, Long |
| Abstract | In the large-scale Wireless Metropolitan Area Network (WMAN) consisting of many wireless Access Points (APs), choosing the appropriate position to place cloudlet is very important for reducing the user's access delay. For service provider, it is always very costly to deployment cloudlets. How many cloudlets should be placed in a WMAN and how much resource each cloudlet should have is very important for the service provider. In this paper, we study the cloudlet placement and resource allocation problem in a large-scale Wireless WMAN, we formulate the problem as an novel cloudlet placement problem that given an average access delay between mobile users and the cloudlets, place K cloudlets to some strategic locations in the WMAN with the objective to minimize the number of use cloudlet K. We then propose an exact solution to the problem by formulating it as an Integer Linear Programming (ILP). Due to the poor scalability of the ILP, we devise a clustering algorithm K-Medoids (KM) for the problem. For a special case of the problem where all cloudlets computing capabilities have been given, we propose an efficient heuristic for it. We finally evaluate the performance of the proposed algorithms through experimental simulations. Simulation result demonstrates that the proposed algorithms are effective. |
| Starting Page | 196 |
| Ending Page | 203 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781509066100 |
| DOI | 10.1109/CCGRID.2017.34 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-14 |
| Access Restriction | Subscribed |
| Subject Keyword | Cloudlet placement Cloudlet number minimization Heuristic algorithms Resource allocation |
| Content Type | Text |
| Resource Type | Article |
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