کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
425067 685679 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Decreasing power consumption with energy efficient data aware strategies
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Decreasing power consumption with energy efficient data aware strategies
چکیده انگلیسی

Regardless of whether data is stored in a cluster, grid, or cloud, data management is being recognized as a significant bottleneck. Computing elements can be located far away from the data storage elements. The energy efficiency of the data centers storing this data is one of the biggest issues in data intensive computing. In order to address such issues, we are designing and analyzing a series of energy efficient data aware strategies involving data replication and CPU scheduling. In this paper, we present a new strategy for data replication, called Queued Least-Frequently-Used (QLFU), and study its performance to determine if it is an energy efficient strategy. We also study the benefits of using a data aware CPU scheduling strategy, called data backfilling, which uses job preemption in order to maximize CPU usage and allows for longer periods of suspension time to save energy. We measure the performance of QLFU and existing replica strategies on a small green cluster to study the running time and power consumption of the strategies with and without data backfilling. Results from this study have demonstrated that energy efficient data management can reduce energy consumption without negatively impacting response time.


► Energy efficient data aware solutions needed to reduce bottlenecks in grids.
► Propose QLFU replica strategy and CPU scheduling data backfilling strategy.
► QLFU runs faster, consumes less power than existing replica strategies.
► Data backfilling provides advantages for all replica strategies and file sizes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 29, Issue 5, July 2013, Pages 1152–1163
نویسندگان
, , , , ,