کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4944818 | 1438009 | 2017 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems
ترجمه فارسی عنوان
برنامه ریزی گردش کار بی عیب مصرف انرژی و قابلیت اطمینان در سیستم های محاسباتی ناهمگن
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کلمات کلیدی
چند هدفه، محدودیت های قضیه، قابلیت اطمینان، برنامه ریزی، گردش کار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Recent studies focus primarily on low energy consumption or execution time for task scheduling with precedence constraints in heterogeneous computing systems. In most cases, system reliability is more important than other performance metrics. In addition, energy consumption and system reliability are two conflicting objectives. A novel bi-objective genetic algorithm (BOGA) to pursue low energy consumption and high system reliability for workflow scheduling is presented in this paper. The proposed BOGA offers users more flexibility when jobs are submitted to a data center. On the basis of real-world and randomly generated application graphs, numerous experiments are conducted to evaluate the performance of the proposed algorithm. In comparison with excellent algorithms such as multi-objective heterogeneous earliest finish time (MOHEFT) and multi-objective differential evolution (MODE), BOGA performs significantly better in terms of finding the spread of compromise solutions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 379, 10 February 2017, Pages 241-256
Journal: Information Sciences - Volume 379, 10 February 2017, Pages 241-256
نویسندگان
Longxin Zhang, Kenli Li, Changyun Li, Keqin Li,