کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
464750 697409 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Experience with benchmarking dependability and performance of MapReduce systems
ترجمه فارسی عنوان
تجربه با قابلیت اعتماد تعیین معیار و عملکرد سیستم نگاشت‌کاهش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی

MapReduce provides a convenient means for distributed data processing and automatic parallel execution on clusters of machines. It has various applications and is used by several services featuring fault tolerance and scalability. Many studies investigated the dependability and performance of MapReduce, ranging from job scheduling to data placement and replication, adaptive and on-demand fault tolerance to new fault tolerance models. However, the ad-hoc and overly simplified setting used to evaluate most MapReduce fault tolerance and performance improvement solutions poses significant challenges to the analysis and comparison of the effectiveness of these solutions. The paper precisely addresses this issue and presents MRBS, a comprehensive benchmark suite for evaluating the dependability and performance of MapReduce systems. MRBS includes five benchmarks covering several application domains and a wide range of execution scenarios such as data-intensive vs. compute-intensive applications, or batch applications vs. online interactive applications. MRBS allows to inject various workloads, dataloads and faultloads, and produces extensive reliability, availability and performance statistics. We implemented the MRBS benchmark suite for Hadoop MapReduce, and we illustrate its use with various case studies running on Amazon EC2 and on a private cloud.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Performance Evaluation - Volume 101, July 2016, Pages 1–19
نویسندگان
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