Technology Integration Advancements in Distributed Systems and Computing

Technology Integration Advancements in Distributed Systems and Computing

Nik Bessis (Edge Hill University, UK)
Release Date: April, 2012|Copyright: © 2012 |Pages: 426
ISBN13: 9781466609068|ISBN10: 1466609060|EISBN13: 9781466609075|DOI: 10.4018/978-1-4666-0906-8

Description

The functionality of distributed computing systems has advanced greatly in recent months, and staying abreast of the latest research within the field is difficult.

Technology Integration Advancements in Distributed Systems and Computing offers a vital compendium of research and developments within the field of distributed computing, giving case studies, frameworks, architectures, and best practices for academics and practitioners alike. With authors from around the world and the latest research from experts within the field, this resource acts as both a reference guide and research handbook.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • architectures
  • Client server
  • Complexity measures
  • computational problems
  • Distributed algorithms
  • Distributed programming
  • distributed system properties
  • Parallel Computing
  • Peer to peer
  • Turing machines

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Nik Bessis is a full Professor of Computer Science and the Head of Department of Computing at Edge Hill University, UK. Prior to that, Nik was a full Professor of Computer Science and the Director of Distributed and Intelligent Systems (DISYS) research centre at the University of Derby, UK. He holds a PhD and a MA from De Montfort University, UK and a BA from TEI of Athens, Greece. Professor Bessis is a Fellow of HEA, BCS and a Senior Member of IEEE. His research is on social graphs for network and big data analytics as well as on developing data push and resource provisioning services in IoT, FI and clouds. He has led several projects worth over £3m. He has published over 250 works and won 4 best paper awards. He has chaired over 40 international events, delivered 4 keynote speeches, edited 4 SIs, 8 books and 9 conference proceedings. His latest 2 edited books on IoTs & big data have been ranked as top 25 & top 40 on Amazon AI book lists. He is also the founding editor-in-chief of IJDST. Professor Bessis has served as an expert evaluator for the Hellenic QAA and, as an assessor for more than 10 Professorships conferment worldwide.