Latency Aware Workload Offloading in the Cloudlet Network

We propose a novel network architecture by leveraging the cloudlet concept, the software defined networking technology, and the cellular network infrastructure to bring the computing resource to the mobile edge. In order to minimize the average response time for mobile users (MUs) in offloading thei...

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Bibliographic Details
Published in:IEEE communications letters Vol. 21; no. 7; pp. 1481 - 1484
Main Authors: Xiang Sun, Ansari, Nirwan
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
application workload offloading
Cellular communication
Cloud computing
Cloudlet network
Computer architecture
Computer simulation
delay
Delays
Geographical distribution
Lead
Mobile communication
Mobile computing
Network architecture
Response time
Servers
Software-defined networking
Time factors
Workload
Workloads
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:We propose a novel network architecture by leveraging the cloudlet concept, the software defined networking technology, and the cellular network infrastructure to bring the computing resource to the mobile edge. In order to minimize the average response time for mobile users (MUs) in offloading their application workloads to the geographically distributed cloudlets, we propose the latency-aware workload offloading (LEAD) strategy to allocate MUs' application workloads into suitable cloudlets. Simulation results demonstrate that LEAD incurs the lowest average response time as compared with two other existing strategies.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2017.2690678