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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.
Sample Chapter(s)
Preface
Chapter 1: Introduction
Contents:
- Introduction
- Workload Balance Adjustment among Parallel Processing Tasks under Key Granularity
- Workload Balance by Key Splitting
- Workload Balance for Multi-stream θ-Join
- Cost-Effective Stream Join Model
- Case Studies
- Conclusion
Readership: Professionals, researchers, academics, and graduate students in databases, information science and parallel computing.
