NDLI: Self-Optimization of Task Execution in Pervasive Computing Environments

Content Provider	IEEE Xplore Digital Library
Author	Ranganathan, A. Campbell, R.H.
Copyright Year	2005
Description	Author affiliation: Illinois Univ., Urbana-Champaign, IL (Ranganathan, A.; Campbell, R.H.)
Abstract	Pervasive computing environments feature massively distributed systems containing a large number of devices, services and applications that help end-users perform various kinds of tasks. However, these systems are very complex to configure and manage. They are highly dynamic and fault-prone. Another challenge is that since these environments are rich in devices and services, they offer different ways of performing the same task; hence, it is sometimes difficult to choose the "best" resources and strategies to use at any point of time. In this paper, we describe a framework that allows the development of autonomic programs for pervasive computing environments in the form of high-level, parameterized tasks. Each task is associated with various parameters, the values of which may be either provided by the end-user or automatically inferred by the framework based on the current state of the environment, context-sensitive policies, and learned user preferences. A novel multidimensional utility function that uses both quantifiable and non-quantifiable metrics is used to pick the optimal way of executing the task. This framework allows these environments to be self-configuring, self-repairing and adaptive, and to require minimal user intervention. We have developed and used a prototype task execution framework within our pervasive computing system, Gaia (Roman et al., 2002)
Sponsorship	IEEE Comput. Soc. Nat. Sci. Found
Starting Page	333
Ending Page	334
File Size	56369
Page Count	2
File Format	PDF
ISBN	0796522769
DOI	10.1109/ICAC.2005.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing Prototypes Physics computing Costs Environmental management Computer architecture Collaborative work Humans Ontologies Security
Content Type	Text
Resource Type	Article

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