A Shadow-Like Task Migration Model Based on Context Semantics for Mobile and Pervasive Environments

Authors

  • Feilong Tang
  • Can Tang
  • Min Yi Guo
  • Shui Yu
  • Song Guo

Keywords:

Task migration, pervasive computing, context-aware computing

Abstract

Pervasive computing is a user-centric mobile computing paradigm, in which tasks should be migrated over different platforms in a shadow-like way when users move around. In this paper, we propose a context-sensitive task migration model that recovers program states and rebinds resources for task migrations based on context semantics through inserting resource description and state description sections in source programs. Based on our model, we design and develop a task migration framework xMozart which extends the Mozart platform in terms of context awareness. Our approach can recover task states and rebind resources in the context-aware way, as well as support multi-modality I/O interactions. The extensive experiments demonstrate that our approach can migrate tasks by resuming them from the last broken points like shadows moving along with the users.

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Author Biographies

Feilong Tang

School of Software, Shanghai Jiao Tong University, Changhai, China

Can Tang

Department of Finance, Heilongjiang University, Harbin, China

Min Yi Guo

Department of Computer Science and Engineering, Shanghai Jiao Tong University, Changhai, China

Shui Yu

School of Information Technology, Deakin University, Burwood, Australia

Song Guo

School of Computer Science and Engineering, The University of Aizu, Fukushima, Japan

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Published

2012-05-02

How to Cite

Tang, F., Tang, C., Guo, M. Y., Yu, S., & Guo, S. (2012). A Shadow-Like Task Migration Model Based on Context Semantics for Mobile and Pervasive Environments. COMPUTING AND INFORMATICS, 30(6), 1131–1146. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/808

Issue

Section

Special Section Articles