Do-All Computing in Distributed Systems (e-bog) af Georgiou, Chryssis
Georgiou, Chryssis

Do-All Computing in Distributed Systems e-bog

875,33 DKK
Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All i…
Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.
E-bog 875,33 DKK
Forfattere Georgiou, Chryssis (forfatter)
Forlag Springer
Udgivet 27.11.2007
Genrer Computer hardware
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780387690452

Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.