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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2017
عنوان انگلیسی مقاله:
Composable architecture for rack scale big data computing
ترجمه فارسی عنوان مقاله:
معماری دندانه دار کردن برای مقیاس دندانه دار کردن محاسبات داده های بزرگ
منبع:
Sciencedirect - Elsevier - Future Generation Computer Systems 67 (2017) 180–193
نویسنده:
Chung-Sheng Li a, Hubertus Franke a, Colin Parris b, Bulent Abali a, Mukil Kesavan c, Victor Chang d,∗
چکیده انگلیسی:
The rapid growth of cloud computing, both in terms of the spectrum and volume of cloud workloads,
necessitates re-visiting the traditional rack-mountable servers based datacenter design. Next generation
datacenters need to offer enhanced support for: (i) fast changing system configuration requirements
due to workload constraints, (ii) timely adoption of emerging hardware technologies, and (iii) maximal
sharing of systems and subsystems in order to lower costs. Disaggregated datacenters, constructed
as a collection of individual resources such as CPU, memory, disks etc., and composed into workload
execution units on demand, are an interesting new trend that can address the above challenges. In this
paper, we demonstrate the feasibility of composable systems through building a rack scale composable
system prototype using PCIe switches. Through empirical approaches, we develop an assessment of the
opportunities and challenges for leveraging the composable architecture for rack scale cloud datacenters
with a focus on big data and NoSQL workloads. In particular, we compare and contrast the programming
models that can be used to access the composable resources, and develop the implications for the network
and resource provisioning and management for rack scale architecture.
Keywords:Big data platforms|Composable system architecture|Disaggregated datacenter architecture|Composable datacenter|Software defined |environments|Software defined networking
قیمت: رایگان
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