Paper Info
Title
An Autonomic Context Management System for Pervasive Computing
Abstract
Context-aware applications adapt to changing computing environments or changing user circumstances/tasks. Context information that supports such adaptations is provided by the underlying infrastructure, which gathers, pre-processes and provisions context information from a variety of context information sources. Such an infrastructure is prone to failures and disconnections that negatively impact on the ability of context-aware applications to adapt (and therefore dramatically impact on their usability). This paper describes a model-based autonomic context management system (ACoMS) that can dynamically configure and reconfigure its context information gathering and pre-processing functionality in order to provide fault tolerant provisioning of context information. The approach uses standards based descriptions of context information sources to increase openness, interoperability and scalability of context-aware systems.
Year
DOI
Venue
2008
10.1109/PERCOM.2008.56
PerCom
Keywords
Field
DocType
context information gathering,pervasive computing,open systems,interoperability,fault tolerant computing,model-based autonomic context management system,large scale adoption,context manager,ubiquitous computing,fault tolerant provision,autonomic system,context management system,autonomic context management system,context information preprocessing functionality,mobile computing,adaptive service,reliable privacy-preserving technology,technology management,context modeling,fault tolerant,redundancy,resource management,autonomic computing
Autonomic computing,Context management,Interoperability,Computer science,Usability,Provisioning,Context awareness,Ubiquitous computing,Distributed computing,Scalability
Conference
ISSN
ISBN
Citations 
2474-2503
978-0-7695-3113-7
48
PageRank 
References 
Authors
1.54
10
3
Name
Order
Citations
PageRank
Peizhao Hu114017.30
Jadwiga Indulska22092146.96
Ricky Robinson321315.60