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作 者:王晨曦 单一舟 左鹏飞 崔慧敏 Chen-Xi Wang;Yi-Zhou Shan;Peng-Fei Zuo;Hui-Min Cui(Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;University of the Chinese Academy of Sciences,Beijing 101408,China;Huawei Cloud,Shenzhen 518129,China)
机构地区:[1]Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China [2]University of the Chinese Academy of Sciences,Beijing 101408,China [3]Huawei Cloud,Shenzhen 518129,China
出 处:《Journal of Computer Science & Technology》2023年第5期949-969,共21页计算机科学技术学报(英文版)
基 金:supported by the National Key Research and Development Program of China under Grant No.2022YFB4500400.*Corresponding Author。
摘 要:Due to the unprecedented development of low-latency interconnect technology,building large-scale disaggre-gated architecture is drawing more and more attention from both industry and academia.Resource disaggregation is a new way to organize the hardware resources of datacenters,and has the potential to overcome the limitations,e.g.,low re-source utilization and low reliability,of conventional datacenters.However,the emerging disaggregated architecture brings severe performance and latency problems to the existing cloud systems.In this paper,we take memory disaggregation as an example to demonstrate the unique challenges that the disaggregated datacenter poses to the existing cloud software stacks,e.g.,programming interface,language runtime,and operating system,and further discuss the possible ways to rein-vent the cloud systems.
关 键 词:cloud computing resource disaggregation DATACENTER program semantics
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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