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{ "item_title" : "Machine Learning Enhances Intelligent Network", "item_author" : [" Charles D. Parra "], "item_description" : "The emerging versatile networking services has greatly improved daily life styles while making the current Internet environment increasingly hierarchical and complicated. With the advent of novel applications, e.g., video streaming, VoIP and etc., the global servicing policy demands network system rapid scaling and being compatible with stale-fashioned facilities.It imposes massive stress on its effective management. Human force-based administration-inevitably exposes of its serious low-efficiency defect due to the complexity raised by large scale distributed network systems. The distributed and paralleled architecture can easily disorder the informative records by concurrent executions and isolate one integrated functions separated parts.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/7/01/553/538/7015535386_b.jpg", "price_data" : { "retail_price" : "28.00", "online_price" : "28.00", "our_price" : "28.00", "club_price" : "28.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning Enhances Intelligent Network|Charles D. Parra

Machine Learning Enhances Intelligent Network

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Overview

The emerging versatile networking services has greatly improved daily life styles while making the current Internet environment increasingly hierarchical and complicated. With the advent of novel applications, e.g., video streaming, VoIP and etc., the global servicing policy demands network system rapid scaling and being compatible with stale-fashioned facilities.It imposes massive stress on its effective management. Human force-based administration-inevitably exposes of its serious low-efficiency defect due to the complexity raised by large scale distributed network systems. The distributed and paralleled architecture can easily disorder the informative records by concurrent executions and isolate one integrated functions separated parts.

Details

  • ISBN-13: 9787015535383
  • ISBN-10: 7015535386
  • Publisher: Nuzhath Publisher
  • Publish Date: October 2023
  • Dimensions: 9 x 6 x 0.26 inches
  • Shipping Weight: 0.38 pounds
  • Page Count: 122

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