Mochi: Composing Data Services for High-Performance Computing Environments

来源 :计算机科学技术学报(英文版) | 被引量 : 0次 | 上传用户:xunitt1
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Technology enhancements and the growing breadth of application workflows running on high-performance computing (HPC) platforms drive the development of new data services that provide high performance on these new platforms, provide capable and productive interfaces and abstractions for a variety of applications, and are readily adapted when new technologies are deployed. The Mochi framework enables composition of specialized distributed data services from a collection of connectable modules and subservices. Rather than forcing all applications to use a one-size-fits-all data staging and I/O software configuration, Mochi allows each application to use a data service specialized to its needs and access patts. This paper introduces the Mochi framework and methodology. The Mochi core components and microservices are described. Examples of the application of the Mochi methodology to the development of four specialized services are detailed. Finally, a performance evaluation of a Mochi core component, a Mochi microservice, and a composed service providing an object model is performed. The paper concludes by positioning Mochi relative to related work in the HPC space and indicating directions for future work.
其他文献
为综合解析南方某市管网末梢水水质的时空变化特征、识别主要响应指标及指标间相关性,以该市近4年供水管网末梢水水质监测数据为研究对象,利用主成分分析法和对应分析法对管
对某2×1 000 MW二次循环湿冷火电机组的循环水系统、循泵配置方案进行了技术经济比较,结果显示一机两泵(扩大单元制)方案更优;为使循环水泵能达到经济节能运行的目的,对火力
带式输送机是井下采矿作业的一个重要环节,是控制煤矿成本、保证利润的关键所在.从设计理念、技术团队、运营过程等方面介绍了美国伊利诺斯煤炭运营商2个带式输送设备的应用
期刊
期刊
With the convergence of high-performance computing (HPC), big data and artificial intelligence (AI), the HPC community is pushing fortriple usesystems to expedi
It is hard for applications to make full utilization of the peak bandwidth of the storage system in high-performance computers because of I/O interferences, sto
期刊
Burst buffer has become a major component to meet the I/O performance requirement of HPC bursty traffic. This paper proposes Gfarm/BB that is a file system for
Storage backends of parallel compute clusters are still based mostly on magnetic disks, while newer and faster storage technologies such as flash-based SSDs or