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{ "item_title" : "Load Balance for Distributed Real-Time Computing Systems", "item_author" : [" Fang Junhua "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/121/614/9811216142_b.jpg", "price_data" : { "retail_price" : "88.00", "online_price" : "88.00", "our_price" : "88.00", "club_price" : "88.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Load Balance for Distributed Real-Time Computing Systems|Fang Junhua

Load Balance for Distributed Real-Time Computing Systems

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Overview

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.

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Details

  • ISBN-13: 9789811216145
  • ISBN-10: 9811216142
  • Publisher: World Scientific Publishing Company
  • Publish Date: May 2020
  • Dimensions: 9 x 6 x 0.63 inches
  • Shipping Weight: 1.14 pounds
  • Page Count: 260

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