Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms de...

Full description

Saved in:
Bibliographic Details
Published inComplexity (New York, N.Y.) Vol. 2019; no. 2019; pp. 1 - 13
Main Authors Volckaert, Bruno, Signes-Pont, María Teresa, Mora Gimeno, Francisco J., Mora Mora, Higinio
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2019
Hindawi
Hindawi Limited
Wiley
Subjects
Cloud computing
Communication
Computer architecture
Computer centers
Computer simulation
Electronic devices
Embedded systems
International conferences
Internet of Things
Mobile computing
Multilayers
Outsourcing
Platforms
Servers
Task complexity
Task scheduling
Workload
Workloads
Online AccessGet full text

Cover

More Information
Summary:Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms deployed along the network, such as cloud servers, cloudlets, or other edge platforms. The research described in this work presents a computational model of a multilayer architecture for increasing the performance of devices using the Mobile Cloud Computing paradigm. The main novelty of this work lies in defining a comprehensive model where all the available computing platforms along the network layers are involved to perform the outsourcing of the application workload. This proposal provides a generalization of the Mobile Cloud Computing paradigm which allows handling the complexity of scheduling tasks in such complex scenarios. The behaviour of the model and its ability of generalization of the paradigm are exemplified through simulations. The results show higher flexibility for making offloading decisions.
ISSN:1076-2787
1099-0526
DOI:10.1155/2019/3951495