Context-Dependent task computing in pervasive environment

  • Authors:
  • Hongbo Ni;Xingshe Zhou;Daqing Zhang;Ngoh Lek Heng

  • Affiliations:
  • School of Computer Science, Northwestern Polytechnic University, China;School of Computer Science, Northwestern Polytechnic University, China;Context Aware System Department, Institute for Infocomm Research, Singapore;Context Aware System Department, Institute for Infocomm Research, Singapore

  • Venue:
  • UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing personal requirements and operational context of environment. Recently, task computing (TC) paradigm has gained acceptance as the choice computing model for pervasive computing environment. One of the key components of TC is a task model that provides an adequate high-level description of user-oriented tasks. This paper presents a novel context-sensitive task modeling approach capable of supporting complex, user-oriented task definitions, and proposes an algorithm to discover a task and a method to execute it. This work is motivated by the fact that whilst current TC systems allow users to interact with their ambient environments in terms of high level tasks, existing task definitions are still relatively simple, and do not include user-centric and environmental contextual information in the task definition. This paper elaborates the proposed task model through a smart home application example to illustrate steps in context-dependent task modeling, service provisioning and resource organization.