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Towards Maximum Resource Utilization and Optimal Task Execution for Gaming IoT Workflow in Mobile Cloud


Shakkeera L1*,Latha Tamilselvan1


1B.S. Abdur Rahman University, Chennai-600048, Tamilnadu, India


With the rapid and tremendous growth of real-time resource discovery process ubiquitously, Internet of Things (IoT) and mobile cloud technologies have become an essential part of the future internet. The adaptive and energy-efficient mobile application execution is still in its infancy stage due to the diversity of IoT applications, manipulating workflow of an application and handling a large volume of streaming data in the heterogeneous resource-rich environment. To overcome these constraints, this paper introduces a GAming IoT workflow Fuzzifiers and Supporting MAximum Resource utilization and optimal Task execution on mobile cloud (GAF-SMART) paradigm offering an intelligent way of computing the mobile applications on the remote server. The GAF-SMART employs Game-theory and Fuzzy logic assisted adaptive task scheduler to attain optimal execution for maintaining a workflow of an application. Thus, the proposed mobile cloud IoT paradigm offers high Quality of Service (QoS), increases resource utilization and minimizes the mobile device energy.


Mobile cloud, IoT, Game-theory, Fuzzy logic, Adaptive task scheduler, Workflow model, Non-dominant.

Full Text:

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