title: A lightweight distributed framework for computational offloading in mobile cloud computing.
abstract: The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs). Therefore, Mobile Cloud Computing (MCC) leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC.
authors.affiliation: Center for Mobile Cloud Computing (C4MCC), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Shiraz
authors.affiliation: Center for Mobile Cloud Computing (C4MCC), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Abdullah
authors.initials: A
authors.lastname: Gani
authors.affiliation: Center for Mobile Cloud Computing (C4MCC), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Raja Wasim
authors.initials: RW
authors.lastname: Ahmad
authors.affiliation: Center for Mobile Cloud Computing (C4MCC), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Syed
authors.initials: S
authors.lastname: Adeel Ali Shah
authors.affiliation: Center for Mobile Cloud Computing (C4MCC), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Karim
authors.affiliation: Department of History, Faculty of Arts and Social Sciences, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: Zulkanain Abdul
authors.initials: ZA
authors.lastname: Rahman
mesh_terms: D003195:Computer Communication Networks; D016248:Computer Storage Devices; D020407:Internet; D063731:Mobile Applications