Grid And Cluster Computing
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GRID AND CLUSTER COMPUTING
Author: C. S. R. PRABHU
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2008-02-14
Grid Computing and Cluster Computing are advanced topics and latest trends in computer science that find a place in the computer science and information technology curricula of many engineering institutes and universities today. Divided into two parts—Part I, Grid Computing and Part II, Cluster Computing—, this compact and concise text strives to make the concepts of grid computing and cluster computing comprehensible to the students through its fine presentation and accessible style. Part I of the book enables the student not only to understand the concepts involved in grid computing but also to build their own grids for specific applications. Similarly, as today supercomputers are being built using cluster computing architectures, Part II provides an insight into the basic principles involved in cluster computing and equips the readers with the knowledge to build their own clusters in-house. Diagrams are used to illustrate the concepts discussed and to enable the reader to actually construct a grid or a cluster himself. The book is intended as a text for undergraduate and postgraduate students of computer science and engineering, information technology (B.Tech./M.Tech. Computer Science and Engineering/IT), and post-graduate students of computer science/information technology (M.Sc. Computer Science and M.Sc. IT). Besides, practising engineers and computer science professionals should find the text very useful.
Distributed and Parallel Systems
Author: Péter Kacsuk
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Distributed and Parallel Systems: Cluster and Grid Computing is the proceedings of the fourth Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by Johannes Kepler University, Linz, Austria and the MTA SZTAKI Computer and Automation Research Institute. The papers in this volume cover a broad range of research topics presented in four groups. The first one introduces cluster tools and techniques, especially the issues of load balancing and migration. Another six papers deal with grid and global computing including grid infrastructure, tools, applications and mobile computing. The next nine papers present general questions of distributed development and applications. The last four papers address a crucial issue in distributed computing: fault tolerance and dependable systems. This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.
Comparative analysis between Grid and Cloud computing
Seminar paper from the year 2013 in the subject Computer Science - Technical Computer Science, Lovely Professional University, Punjab (School of Computer Science), course: MTech C.S.E, language: English, abstract: Cloud computing is the current most trendy and social technology that has been launched on the network world which can also be called as a reincarnation or evolution of Grid computing, so the Clouds are considered as a new generation of Grid computing. These Clouds consist of data centres which are owned by individual institute, organisations or companies. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. Cloud Computing has become another most used word on internet after Web 2.0. There are many definitions for Cloud computing and there seems to be no consensus on what a Cloud is. Cloud Computing is not a completely new concept, it has intricate connection to the relatively new but thirteen year established Grid Computing paradigm and other relevant technologies such as utility computing, cluster computing, and distributed systems when we go through the structure and working of a Cloud.