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Journal ArticleDOI

Challenges on wireless heterogeneous networks for mobile cloud computing

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TLDR
The framework of HetNet for MCC is introduced, identifying the main functional blocks and the current state of the art techniques for each functional block, and the challenges for supporting MCC applications in Het net under this proposed framework are discussed.
Abstract
Mobile cloud computing (MCC) is an appealing paradigm enabling users to enjoy the vast computation power and abundant network services ubiquitously with the support of remote cloud. However, the wireless networks and mobile devices have to face many challenges due to the limited radio resources, battery power and communications capabilities, which may significantly impede the improvement of service qualities. Heterogeneous Network (HetNet), which has multiple types of low power radio access nodes in addition to the traditional macrocell nodes in a wireless network, is widely accepted as a promising way to satisfy the unrelenting traffic demand. In this article, we first introduce the framework of HetNet for MCC, identifying the main functional blocks. Then, the current state of the art techniques for each functional block are briefly surveyed, and the challenges for supporting MCC applications in HetNet under our proposed framework are discussed. We also envision the future for MCC in HetNet before drawing the conclusion.

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Citations
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A Survey on Mobile Edge Computing: The Communication Perspective

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A Survey on Mobile Edge Computing: The Communication Perspective

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A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

TL;DR: A comprehensive survey on RA in HetNets for 5G communications is provided and two potential structures for 6G communications are provided, such as a learning-based RA structure and a control- based RA structure.
References
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Proceedings ArticleDOI

MAUI: making smartphones last longer with code offload

TL;DR: MAUI supports fine-grained code offload to maximize energy savings with minimal burden on the programmer, and decides at run-time which methods should be remotely executed, driven by an optimization engine that achieves the best energy savings possible under the mobile device's current connectivity constrains.
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A survey of mobile cloud computing: architecture, applications, and approaches

TL;DR: A survey of MCC is given, which helps general readers have an overview of the MCC including the definition, architecture, and applications and the issues, existing solutions, and approaches are presented.
Proceedings ArticleDOI

CloneCloud: elastic execution between mobile device and cloud

TL;DR: The design and implementation of CloneCloud is presented, a system that automatically transforms mobile applications to benefit from the cloud that enables unmodified mobile applications running in an application-level virtual machine to seamlessly off-load part of their execution from mobile devices onto device clones operating in a computational cloud.
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Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?

TL;DR: The cloud heralds a new era of computing where application services are provided through the Internet, but is it the ultimate solution for extending such systems' battery lifetimes?
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A Dynamic Offloading Algorithm for Mobile Computing

TL;DR: A dynamic offloading algorithm based on Lyapunov optimization is presented, which has low complexity to solve the offloading problem and shows that the proposed algorithm saves more energy than the existing algorithm while meeting the requirement of application execution time.
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