کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350693 618455 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance optimality enhancement algorithm in DDBS (POEA)
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Performance optimality enhancement algorithm in DDBS (POEA)
چکیده انگلیسی


• A new dynamic data allocation algorithm for non-replicated DDBS (POEA) is presented.
• POEA improves fragments reallocation to different sites.
• POEA adopts the shortest path between the old location and the new anticipated location.
• Experimental results show that POEA has efficiently reduced the transmission cost.
• Minimizes frequency and time spent on fragment migration over the network sites.

Proper data allocation is a key performance factor for an efficient functionality of Distributed Database Systems (DDBSs). Therefore, if data allocation across sites is performed accurately while preserving the issues of communication and site constraints, an optimal solution for DDBS performance in a dynamic distributed environment will be achieved.In this paper, a new dynamic data allocation algorithm for non-replicated DDBS is presented, the proposed Performance Optimality Enhancement Algorithm (POEA) explores and improves some concepts used in previously developed algorithms to reallocates fragments to different sites given the changing data access patterns, time and sites constraints of the DDBS. Moreover, the POEA adopts the shortest path between the old location and the new anticipated location for the transferred fragments when migration decision is made. Experimental results show that POEA has efficiently reduced the transmission cost subsequently minimizing the frequency and the time spent on fragment migration over the network sites resulting to a great improvement in the overall DDBS performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 30, January 2014, Pages 419–426
نویسندگان
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