Resilient Framework for Distributed Computation Offloading: Overview, Challenges and Issues

Abstract

Gradually, mobile and smart computing devices are becoming pervasive and prevalent in society and also increasingly being used to undertake the daily tasks and business activities of individuals and organizations worldwide as compared to their desktop counterparts. But these mobile and smart computing devices are resource constrained and sometimes lack the needed computational capacities; thus, memory, energy, storage, and processor to run the plethora of resource intensive applications available for mobile users. There is a lot of benefit of offloading resource demanding applications and intensive computations from mobile devices to other systems with higher resource capacities in the cloud. Mobile cloud computing is a form of cloud computing that seeks to enhance the capacity and capabilities of mobile and smart computing devices by enabling mobile devices to offload some computational tasks to the cloud for processing which otherwise would have been a challenge. The study setup an experiment to investigate computation offloading for mobile devices. The study also presented an energy model for computation offloading. It was observed during the experiment that by offloading intensive applications from mobile and smart computing devices to other systems with higher resource capacities, a great amount of resource efficiency is achieved.

Authors and Affiliations

Collinson Colin M. Agbesi, Jamal-Deen Abdulai, Katsriku Apietu Ferdinand, Kofi Adu-Manu Sarpong

Keywords

Related Articles

A hybrid Evolutionary Functional Link Artificial Neural Network for Data mining and Classification

This paper presents a specific structure of neural network as the functional link artificial neural network (FLANN). This technique has been employed for classification tasks of data mining. In fact, there are a few stud...

 Generalized Two Axes Modeling, Order Reduction and Numerical Analysis of Squirrel Cage Induction Machine for Stability Studies

 A substantial amount of power system load is made of large number of three phase induction machine. The transient phenomena of these machines play an important role in the behavior of the overall system. Thus, mode...

Software Architecture Reconstruction Method, a Survey

Architecture reconstruction belongs to a reverse engineering process, in which we move from code to architecture level for reconstructing architecture. Software architectures are the blue prints of projects which depict...

 Novel Techniques for Fair Rate Control in Wireless Mesh Networks

 IEEE 802.11 based wireless mesh networks can exhibit severe fairness problem by distributing throughput among different flows originated from different nodes. Congestion control, Throughput, Fairness are the import...

The Performance of the Bond Graph Approach for Diagnosing Electrical Systems

The increasing complexity of automated industrial systems, the constraints of competitiveness in terms of cost of production and facility security have mobilized in the last years a large community of researchers to impr...

Download PDF file
  • EP ID EP241266
  • DOI 10.14569/IJACSA.2017.081146
  • Views 90
  • Downloads 0

How To Cite

Collinson Colin M. Agbesi, Jamal-Deen Abdulai, Katsriku Apietu Ferdinand, Kofi Adu-Manu Sarpong (2017). Resilient Framework for Distributed Computation Offloading: Overview, Challenges and Issues. International Journal of Advanced Computer Science & Applications, 8(11), 380-391. https://europub.co.uk./articles/-A-241266