Load Balance For Distributed Real-time Computing Systems

This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.
The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.
This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.

Product details

• Authors: Aoying Zhou, Junhua Fang, Junhua Fang, Rong Zhang & Aoying Zhou Junhua Fang, Rong Zhang, Rong Zhang, Zhang Rong, Aoying Zhou
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 30.06.2020
• EAN: 9789811216145
• ISBN: 978-981-1216-14-5
• Series: East China Normal University S; East China Normal University Scientific Reports
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces; COMPUTERS / Management Information Systems, COMPUTERS / Embedded Computer Systems, Real time operating systems, Stream Processing, Load Balance, Real-time Computing