دانلود ترجمه مقاله هماهنگ سازی پروسه های جمع آوری زباله در SSD های موجود در پیکر بندی های RAID
ترجمه در قالب فایل Word و قابل ویرایش میباشد
سال انتشار:2014
تعداد صفحه ترجمه:14
تعداد صفحه فایل انگلیسی:45
موضوع انگلیسی :Coordinating Garbage Collection
for Arrays of Solid-State Drives
موضوع فارسی:دانلود ترجمه مقاله هماهنگ سازی پروسه های جمع آوری زباله در SSD های موجود در پیکر بندی های RAID
چکیده انگلیسی:Abstract—Although solid-state drives (SSDs) offer significant performance improvements over hard disk drives (HDDs) for a number
of workloads, they can exhibit substantial variance in request latency and throughput as a result of garbage collection (GC). When GC
conflicts with an I/O stream, the stream can make no forward progress until the GC cycle completes. GC cycles are scheduled by logic
internal to the SSD based on several factors such as the pattern, frequency, and volume of write requests. When SSDs are used in a
RAID with currently available technology, the lack of coordination of the SSD-local GC cycles amplifies this performance variance. We
propose a global garbage collection (GGC) mechanism to improve response times and reduce performance variability for a RAID of
SSDs. We include a high-level design of SSD-aware RAID controller and GGC-capable SSD devices and algorithms to coordinate the
GGC cycles. We develop reactive and proactive GC coordination algorithms and evaluate their I/O performance and block erase
counts for various workloads. Our simulations show that GC coordination by a reactive scheme improves average response time and
reduces performance variability for a wide variety of enterprise workloads. For bursty, write-dominated workloads, response time was
improved by 69 percent and performance variability was reduced by 71 percent. We show that a proactive GC coordination algorithm
can further improve the I/O response times by up to 9 percent and the performance variability by up to 15 percent. We also observe that
it could increase the lifetimes of SSDs with some workloads (e.g., Financial) by reducing the number of block erase counts by up to
79 percent relative to a reactive algorithm for write-dominant enterprise workload
