کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960999 1446507 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Disaggregated Computing. An Evaluation of Current Trends for Datacentres
ترجمه فارسی عنوان
محاسبه نشده ارزیابی روند کنونی مرکز داده ها
کلمات کلیدی
حافظه از راه دور، محاسبات تفکیک شده، شبیه سازی، شبکه های نوری، مراکز داده،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

Next generation data centers will likely be based on the emerging paradigm of disaggregated function-blocks-as-a-unit departing from the current state of mainboard-as-a-unit. Multiple functional blocks or bricks such as compute, memory and peripheral will be spread through the entire system and interconnected together via one or multiple high speed networks. The amount of memory available will be very large distributed among multiple bricks. This new architecture brings various benefits that are desirable in today's data centers such as fine-grained technology upgrade cycles, fine-grained resource allocation, and access to a larger amount of memory and accelerators. An analysis of the impact and benefits of memory disaggregation is presented in this paper. One of the biggest challenges when analyzing these architectures is that memory accesses should be modeled correctly in order to obtain accurate results. However, modeling every memory access would generate a high overhead that can make the simulation unfeasible for real data center applications. A model to represent and analyze memory disaggregation has been designed and a statistics-based queuing-based full system simulator was developed to rapidly and accurately analyze applications performance in disaggregated systems. With a mean error of 10%, simulation results pointed out that the network layers may introduce overheads that degrade applications' performance up to 66%. Initial results also suggest that low memory access bandwidth may degrade up to 20% applications' performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 108, 2017, Pages 685-694
نویسندگان
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