An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing
This book provides an overview of the ongoing academic
Scheduling in Distributed Computing Systems: Analysis, Design and Models intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book are designed
* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology.
* Covers research and application issues in applying computational intelligence
Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background
and reputation mechanisms; algorithms for wireless sensor and mesh networks; and algorithm methods for pervasive and ubiquitous computing; among other topics.
Complete with a set of challenging
and distributed computing with mobility and computation capabilities. It covers everything readers need to build a foundation for the design of future mobile ad hoc networks:
This book represents the combined peer-reviewed proceedings of the Fourth International Symposium on Intelligent Distributed Computing -- IDC 2010 and of the Second International Workshop on Multi
Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists of two parts. The first part deals with techniques
* An invaluable reference for anyone designing new parallel or distributed systems.
* Includes detailed case studies of specific systems from Stanford, MIT, and other leading research