Title: A multi parametric partial computation offloading technique in mobile cloud computing

Authors: Priyajit Sen; Rajat Pandit; Debabrata Sarddar

Addresses: Department of Computer Science, West Bengal State University, Kolkata, 700126, West Bengal, India ' Department of Computer Science, West Bengal State University, Kolkata, 700126, West Bengal, India ' Department of Computer Science and Engineering, University of Kalyani, Kalyani, 741235, West Bengal, India

Abstract: Offloading parameters refer to energy consumption, network delay, jitter, bandwidth, user mobility, physical distance from cloudlet to mobile device and others that should be considered while offloading a task to a nearby cloudlet. A task in mobile device should consider all the above parameters for offloading. Again, a task can be offloaded to the cloudlet either partially or completely. When the entire task in offloaded to the cloudlet then it requires additional time, storage, and energy requirement but a partial offloading can take a portion of the application to be offloaded to the cloudlet and that will save the additional computing resources as required in full offloading. In this paper, we have introduced a multi-parametric partial computation offloading technique that will consider multiple parameters of offloading as well as instead of the entire task to be offloaded to the nearby cloudlet, part of the computation will be considered for offloading.

Keywords: mobile cloud computing; delay; power consumption; deadline; bandwidth; jitter; mobility; multi-parametric offloading; DCIM; dynamic cloudlet information manager; partial offloading.

DOI: 10.1504/IJSSE.2026.156329

International Journal of System of Systems Engineering, 2026 Vol.16 No.4, pp.474 - 487

Received: 20 Sep 2023
Accepted: 13 Jan 2024
Published online: 13 Sep 2026 *

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