Web Distributed Computing Systems : Engineering Science

Fabio Boldrin

ISBN 10: 3659169978 / ISBN 13: 9783659169977

Published by LAP Lambert Academic Publishing, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The Web Distributed Computing System concept is based on the idea to have a completely client free system that can be used on every device connected to the internet and browsing the web. The other key concept is to exploit all the time the users spend surfing the web visiting pages but using only a limited amount of cpu, instead of using all the available computation power on idle time. The extremely large number of visitors, or in other word clients, is the real power of the system. The user experience is not affected by the computation, no installation needed, all the client software is embedded into pages with web2.0 technologies. Tests over 2 different systems, implemented in ajax and Flex, showed that such systems can solve various categories of problems, according with the complexity of algorithm and the amount of data need to describe the problem. Index have been defined to identify convenience in solving particular problems, to give directions on how to implement solution algorithm and problem crunching.

Seller Inventory # 9783659169977

Bibliographic Details

• Title: Web Distributed Computing Systems : Engineering Science
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659169978
• ISBN 13: 9783659169977
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 176H x 33D millimeters 220 millimeters width by 176 millimeters height by 33 millimeters depth
• Weight: 118 grams

About this title

Synopsis

The Web Distributed Computing System concept is based on the idea to have a completely client free system that can be used on every device connected to the internet and browsing the web. The other key concept is to exploit all the time the users spend surfing the web visiting pages but using only a limited amount of cpu, instead of using all the available computation power on idle time. The extremely large number of visitors, or in other word clients, is the real power of the system. The user experience is not affected by the computation, no installation needed, all the client software is embedded into pages with web2.0 technologies. Tests over 2 different systems, implemented in ajax and Flex, showed that such systems can solve various categories of problems, according with the complexity of algorithm and the amount of data need to describe the problem. Index have been defined to identify convenience in solving particular problems, to give directions on how to implement solution algorithm and problem crunching.

About the Author

I studied forst at the University of Padova and then at the University of Ferrara, for a Master degree in Computer Engineering.I completed my studies with an Engineering Science PhD on the field of distributed computing, my main field of interest.I also work as developer for insurance companies, focused on performances and big data computing.