Joint Optimization of Radio and Virtual Machine Resources With Uncertain User Demands in Mobile Cloud Computing

AbstractCooperation between the mobile edge computing (MEC) and the mobile cloud computing (MCC) in offloading computing could improve quality of service (QoS) of user equipments (UEs) with computation-intensive tasks. In this paper, in order to minimize the expect charge, we focus on the problem of how to offload the computation-intensive task from the resource-scarce UE to access point’s (AP) and the cloud, and the density allocation of APs’ at mobile edge. We consider three offloading computing modes and focus on the coverage probability of each mode and corresponding ergodic rates. The resulting optimization problem is a mixed-integer and non-convex problem in the objective function and constraints. We propose a low-complexity suboptimal algorithm called Iteration of Convex Optimization and Nonlinear Programming (ICONP) to solve it. Numerical results verify the better performance of our proposed algorithm. Optimal computing ratios and APs’ density allocation contribute to the charge saving.

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Joint optimization of radio and computational resources for multicell mobile cloud computing

2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

10.1109/spawc.2014.6941749 ◽

2014 ◽

Cited By ~ 13

Author(s):

S. Sardellitti ◽

G. Scutari ◽

S. Barbarossa

Keyword(s):

Cloud Computing ◽

Mobile Cloud Computing ◽

Joint Optimization ◽

Mobile Cloud ◽

Computational Resources

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Virtual Machine Selection Algorithm Based on User Requirements in Mobile Cloud Computing Environment

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v17i2.7764 ◽

2018 ◽

Vol 17 (2) ◽

pp. 7335-7349

Author(s):

Rashid Alakbarov

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Mobile Cloud Computing ◽

Virtual Machines ◽

Mobile User ◽

Base Stations ◽

Mobile Cloud ◽

Software Applications ◽

Wireless Metropolitan Area Networks ◽

Cloud Technologies

The article analyzes the advantages of mobile cloud technologies and problems emerging during the use of those. The network infrastructure created based on cloudlets at the second level of mobile cloud computing with hierarchical structure is analyzed. At the same time, the article explores the issues of satisfaction of demand of mobile equipment for computing and memory resources by using these technologies. The article presents one solution for the allocation of mobile user requests in virtual machines created in cloudlets located near base stations of wireless metropolitan area networks (WMAN) in a balanced way by considering the technical capacity of those. Alongside, the article considers the solution of user problem during designated time and the issue of determining virtual machines satisfying other requirements. For this purpose, different characteristics of the stated problem, virtual machines, as well as communication channels between a user and virtual machines are considered. By using possible values determining the importance of cloudlets, conditions for loading software applications of a user to a virtual machine are explored and an appropriate method is proposed.

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