Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems

This book explores hot topics in the design, administration and management of dynamic grid environments. The emphasis is on preferences and autonomous decisions of system users, secure access to processed data and services and the use of green technologies.

This book covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and autonomous decisions of system users, secure access to the processed data and services, and application of green technologies. It features advanced research related to scalable genetic-based heuristic approaches to grid scheduling, whereby new scheduling criteria, such as system reliability, security, and energy consumption are incorporated into a general scheduling model. This book may be a valuable reference for students, researchers, and practitioners who work on - or who are interested in joining - interdisciplinary research efforts in the areas of distributed and evolutionary computation.

Scheduling Problems in Grid Computing.- Multi-Level Genetic-Based Hierarchical Grid Schedulers.- Security-Driven Scheduling Model for Computational Grid using Multi-level Genetic Meta-heuristics.- Genetic Solutions to Green Scheduling in Computational Grids.