On cost aware cloudlet placement for mobile edge computing

As accessing computing resources from the remote cloud inherently incurs high end-to-end &#x0028 E2E &#x0029 delay for mobile users, cloudlets, which are deployed at the edge of a network, can potentially mitigate this problem. Although some research works focus on allocating workloads among...

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Veröffentlicht in:IEEE/CAA journal of automatica sinica Jg. 6; H. 4; S. 926 - 937
Hauptverfasser: Fan, Qiang, Ansari, Nirwan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway Chinese Association of Automation (CAA) 01.07.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Avatars
Cloud computing
Computer simulation
Computing costs
Delay
Delays
Edge computing
Fans
Heuristic methods
Mobile computing
Network architecture
Placement
Servers
Workload
ISSN:2329-9266, 2329-9274
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Zusammenfassung:As accessing computing resources from the remote cloud inherently incurs high end-to-end &#x0028 E2E &#x0029 delay for mobile users, cloudlets, which are deployed at the edge of a network, can potentially mitigate this problem. Although some research works focus on allocating workloads among cloudlets, the cloudlet placement aiming to minimize the deployment cost &#x0028 i.e., consisting of both the cloudlet cost and average E2E delay cost &#x0029 has not been addressed effectively so far. The locations and number of cloudlets have a crucial impact on both the cloudlet cost in the network and average E2E delay of users. Therefore, in this paper, we propose the Cost Aware cloudlet PlAcement in moBiLe Edge computing &#x0028 CAPABLE &#x0029 strategy, where both the cloudlet cost and average E2E delay are considered in the cloudlet placement. To solve this problem, a Lagrangian heuristic algorithm is developed to achieve the suboptimal solution. After cloudlets are placed in the network, we also design a workload allocation scheme to minimize the E2E delay between users and their cloudlets by considering the user mobility. The performance of CAPABLE has been validated by extensive simulations.
Bibliographie:ObjectType-Article-1
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ISSN:2329-9266
2329-9274
DOI:10.1109/JAS.2019.1911564