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Paper Details
Paper Title
A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing
Authors
  Priyanka Singh,  Ashish Tiwari,  Sanjay Singh
Abstract
The advances in technologies of cloud computing and mobile computing enable the newly emerging mobile cloud computing paradigm. Three approaches have been proposed for mobile cloud applications: 1) extending the access to cloud services to mobile devices; 2) enabling mobile devices to work collaboratively as cloud resource providers; 3) augmenting the execution of mobile applications on portable devices using cloud resources. In this paper, we focus on the third approach in supporting mobile data stream applications. More specifically, we study the computation partitioning, which aims at optimizing the partition of a data stream application between mobile and cloud such that the application has maximum speed/throughput in processing the streaming data. To the best of our knowledge, it is the first work to study the partitioning problem for mobile data stream applications, where the optimization is placed on achieving high throughput of processing the streaming data rather than minimizing the make span of executions in other applications. We first propose a framework to provide runtime support for the dynamic partitioning and execution of the application.
Keywords- mobile cloud computing; application partitioning; genetic algorithm;
Publication Details
Unique Identification Number - IJEDR1604115Page Number(s) - 751-764Pubished in - Volume 4 | Issue 4 | December 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Priyanka Singh,  Ashish Tiwari,  Sanjay Singh,   "A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.751-764, December 2016, Available at :http://www.ijedr.org/papers/IJEDR1604115.pdf
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