2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.93
Resource scheduling approaches (RSA) are the core component of mobile cloud computing (MCC) systems that aim to optimally allocate cloud-based remote resources to resource-intensive components of mobile applications. The ultimate goal of RSA is to reduce execution time and energy consumption of resource-intensive mobile applications which contributes to successful MCC adoption. Role of RSA is critical in efficiently executing resource-intensive mobile applications in the cloud. Although several aspects of MCC have been extensively reviewed, analysis of RSAs in MCC is overlooked. Therefore, it is important to provide a comprehensive review of RSA to complement existing literature in MCC. In this paper, we conduct a survey to review the state-of-the-art RSA approaches in MCC and present the taxonomy of existing RSA approaches. We present a brief tutorial on resource scheduling in MCC followed by a critical review of some of the most credible approaches to highlight their advantages and disadvantages. We then discuss the open challenges in this area and point out future research directions.
Scheduling, Cloud computing, Heuristic algorithms, Processor scheduling, Mobile communication, Mobile handsets, Taxonomy
J. Zare, S. Abolfazli, M. Shojafar and A. Kamsin, "Resource Scheduling in Mobile Cloud Computing: Taxonomy and Open Challenges," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 594-603.