A Systematic Assessment on Computation Offloading Mechanism in Mobile Edge Computing (MEC) --Manuscript Draft—

Mobile Edge Computing (MEC) is the application of cloud computing that is used to provide cloud services and advanced mobile applications to mobile users. The requirement of mobile users increases continually for accessing modern applications and cloud services at very high data speed and with less delay on their mobile devices. As the rate of demand increases for accessing applications and services by mobile users then it may increase the delay during transmission also data rate for accessing resources is decreasing. To handle these kinds of hazards, edge computing provides a computation offloading paradigm in which local edge servers are used to process user requests locally so that the data rate for accessing services and using modern mobile applications increases whereas the delay of accessing services from clouds also decrease as the services and applications are accessed locally by mobile users through local edge core network. In this paper, an attempt has been made to present offloading mechanism and its impact on MEC. The offloading can be categorized into three main categories such as decision-making regarding the offloading of computations, distributing computing resources within MECs, and management of mobility The paper presents an assessment of various offloading techniques with various parameters such as energy consumption, delay, execution time and system utility. The result depicts that in partial offloading the energy consumption, delay, and execution time are less and the system utility is more in perspective of other offloading techniques Furthermore, we present future direction and research challenges in MEC.