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{ "item_title" : "Databases in Mobile Telecommunications", "item_author" : [" Juha Taina "], "item_description" : "Databases in mobile telecommunications have become more and more important due to growing data volumes. More efficient database solutions are needed to support temporal and logical consistency. This book presents a possible database architecture for the growing data dilemma. It presents a database architecture for IN and GSM data, and a performance analysis toolbox for transaction-based software. Using the presented architecture as a test case, a detailed queue model analysis is presented. The result of the analysis is twofold. The most important result is that even a complex transaction-based system may be analyzed accurately enough to get relevant and reasonable results with the toolbox. Second, it appears that parallel database architectures have a lot to offer in high-volume data environments.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/63/909/284/3639092848_b.jpg", "price_data" : { "retail_price" : "85.32", "online_price" : "85.32", "our_price" : "85.32", "club_price" : "85.32", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Databases in Mobile Telecommunications|Juha Taina

Databases in Mobile Telecommunications

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Overview

Databases in mobile telecommunications have become more and more important due to growing data volumes. More efficient database solutions are needed to support temporal and logical consistency. This book presents a possible database architecture for the growing data dilemma. It presents a database architecture for IN and GSM data, and a performance analysis toolbox for transaction-based software. Using the presented architecture as a test case, a detailed queue model analysis is presented. The result of the analysis is twofold. The most important result is that even a complex transaction-based system may be analyzed accurately enough to get relevant and reasonable results with the toolbox. Second, it appears that parallel database architectures have a lot to offer in high-volume data environments.

This item is Non-Returnable

Details

  • ISBN-13: 9783639092844
  • ISBN-10: 3639092848
  • Publisher: VDM Verlag Dr. Mueller E.K.
  • Publish Date: October 2008
  • Dimensions: 9 x 6 x 0.38 inches
  • Shipping Weight: 0.55 pounds
  • Page Count: 180

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