JOURNAL ARTICLE

Joint allocation of computation and communication resources in multiuser mobile cloud computing

Abstract

Mobile cloud computing is offering a very powerful storage and computational facility to enhance the capabilities of resource-constrained mobile handsets. However, full exploitation of the cloud computing capabilities can be achieved only if the allocation of radio and computational capabilities is performed jointly. In this paper, we propose a method to jointly optimize the transmit power, the number of bits per symbol and the CPU cycles assigned to each application in order to minimize the power consumption at the mobile side, under an average latency constraint dictated by the application requirements. We consider the case of a set of mobile handsets served by a single cloud and we show that the optimization leads to a one-to-one relationship between the transmit power and the percentage of CPU cycles assigned to each user. Based on our optimization, we propose then a computation scheduling technique and verify the stability of the computations queue. Then we show how these queues are affected by the degrees of freedom of the channels between mobile handsets and server. © 2013 IEEE.

Keywords:
Computer science Cloud computing Queue Distributed computing Scheduling (production processes) Mobile cloud computing Computation offloading Transmitter power output Mobile computing Computation Computational resource Computational complexity theory Real-time computing Computer network Mathematical optimization Transmitter Operating system Edge computing Algorithm

Metrics

189
Cited By
15.21
FWCI (Field Weighted Citation Impact)
11
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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