📮 Mastering Grid Computing by Ankita (.ePUB)+

The book incorporates different scheduling algorithms, including traditional and non-traditional (bio-inspired) methods, to solve grid scheduling problems. Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact. A large number of scheduling algorithms are available, but choosing an optimal algorithm is important. In this book, we have studied several scheduling algorithms such as First Come First Serve (FCFS), Shortest Job First (SJF), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and a few hybrid algorithms. The efficiency of these algorithms has been calculated using a standard workload, and a comparative analysis has been carried out to study the behavior of all these algorithms under different job counts.

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