TY  - BOOK
AU  - Vidyarthi,Deo Prakash
AU  - Sarker,Biplab Kumer
AU  - Tripathi,Anil Kumar
AU  - Yang,Laurence Tianruo
ED  - SpringerLink (Online service)
TI  - Scheduling in Distributed Computing Systems: Analysis, Design and Models 
SN  - 9780387744834
PY  - 2009///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Data transmission systems
KW  - Computer network architectures
KW  - Computer Communication Networks
KW  - Computer system performance
KW  - Operating systems (Computers)
KW  - Information systems
KW  - Computer Science
KW  - Operating Systems
KW  - Computer Systems Organization and Communication Networks
KW  - Input/Output and Data Communications
KW  - System Performance and Evaluation
KW  - Information Systems and Communication Service
N1  - Preface -- Introduction -- An Overview of a Distributed Computing System -- Scheduling Problem -- Load Balancing in Dcs -- Earlier Task Allocation Models -- Load Balancing Task Allocation (Lbta) -- GA Based Task Allocation Models -- Allocation of Multiple Tasks in Dcs -- Other Approaches for Task Allocation -- Scheduling in Computational Grids -- Concluding Remarks
N2  - Scheduling in Distributed Computing Systems: Analysis, Design and Models is a research monograph that intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book have been designed for distributed computing systems, the same information is applicable for any type of system that requires distributed processing. Scheduling in Distributed Computing Systems: Analysis, Design and Models is supposed to dramatically improve the design and management of the processes for industry professionals. This book deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Scheduling in Distributed Computing Systems: Analysis, Design and Models is structured for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference for graduate-level students in management sciences, and computer science for distributed computing system classes.
UR  - http://dx.doi.org/10.1007/978-0-387-74483-4
ER  -