Abstract
Mobile Cloud Computing (MCC) is the brainchild of the technological revolution of Cloud Computing (CC) and Mobile Computing (MC) with the support of wireless networks, which enables the mobile application developers can create platform independent mobile applications for the users. Cloud Computing is the base for Mobile Cloud Computing to distribute its tasks among various mobile applications. Due to the rapid growth of mobile and wireless devices, it has been a highly challenging mission to send/receive data to mobile devices and accessing cloud computing amenities. In order to overcome the issues in Mobile Cloud Computing such as Low Bandwidth, Heterogeneity, Availability, QoS etc., some new techniques have been implemented so far. One of the core major issues in MCC is load balancing. To address the under-utilization and over-utilization of the processors in MCC, dynamic load balancing techniques plays a key role. In this paper, a new offline load balancing approach is proposed to handle resources in mobile cloud computing. This paper also compares the current approaches of load balancing techniques in MCC.
P. Jelciana—IT Consultant, Brunei
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Herbert Raj, P., Ravi Kumar, P., Jelciana, P. (2019). Load Balancing in Mobile Cloud Computing Using Bin Packing’s First Fit Decreasing Method. In: Omar, S., Haji Suhaili, W., Phon-Amnuaisuk, S. (eds) Computational Intelligence in Information Systems. CIIS 2018. Advances in Intelligent Systems and Computing, vol 888. Springer, Cham. https://doi.org/10.1007/978-3-030-03302-6_9
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