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PERCOM
2007
ACM
14 years 7 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
HPDC
1998
IEEE
14 years 17 days ago
High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
William E. Johnston
UPP
2004
Springer
14 years 1 months ago
Autonomic Computing: An Overview
Abstract. The increasing scale complexity, heterogeneity and dynamism of networks, systems and applications have made our computational and information infrastructure brittle, unma...
Manish Parashar, Salim Hariri
AIPS
2006
13 years 9 months ago
Knowledge-based Middleware as an Architecture for Planning and Scheduling Systems
We present an architecture that provides a robust, scalable and flexible software framework for planning and scheduling systems through the use of standardized industrial-strength...
Bernd Schattenberg, Steffen Balzer, Susanne Biundo
CORR
2002
Springer
156views Education» more  CORR 2002»
13 years 8 months ago
Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Matei Ripeanu, Ian T. Foster, Adriana Iamnitchi