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LCCFS: a lightweight distributed file system for cloud computing without journaling and metadata services

Science China(Information Sciences) 2019年第7期62卷 142-155页

作者： Li WANG Jingling XUE Xiangke LIAO Yunchuan WEN Min CHEN School of Computer Science and Technology National University of Defense Technology School of Computer Science and Engineering University of New South Wales

The major usage of a file system integrated with a cloud computing platform is to provide the storage for VM(virtual machine) instances. Distributed file systems, especially those implemented on top of object storage have many potential advantages over traditional local file systems for VM instance storage. In this paper, we make an investigation in the requirements imposed on a file system in cloud computing scenario,and claim that the implementation of a file system for VM instance storage could be reasonably simplified. We demonstrate that on top of an object storage with simple object-granularity transaction support, a lightweight distributed file system, which requires neither journaling nor dedicated metadata services, can be developed for cloud computing. We have implemented such a distributed file system, called LCCFS(lightweight cloud computing file system), based on the RADOS(reliable autonomic distributed object storage) object *** experimental results show that for the main workloads in cloud computing, LCCFS achieves almost the same or slightly higher performance than CephFS(ceph filesystem), another published distributed file system based on RADOS. Compared to CephFS, LCCFS has only one tenth of its LOCs(lines of code). This theoretical simplicity makes it easy to implement LCCFS correctly and stably by avoiding the sheer design and implementation complexity behind CephFS, thereby making LCCFS a promising candidate in the cloud computing production environment.

关键词： cloud computing distributed file system journaling metadata service garbage collection

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HWM： a hybrid workload migration mechanism of metadata server cluster in data center

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Frontiers of Computer Science 2017年第1期11卷 75-87页

作者： Jian LU Huanqing DONG Junwei ZHANG Zhenjun LIU Lu XU Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China

In data center, applications of big data analytics pose a big challenge to massive storage systems. It is signif- icant to achieve high availability, high performance and high scalability for PB-scale or EB-scale storage systems. Meta- data server （MDS） cluster architecture is one of the most effective solutions to meet the requirements of applications in data center. Workload migration can achieve load balance and energy saving of duster systems. In this paper, a hybrid workload migration mechanism of MDS cluster is proposed and named as HWM. In HWM, workload of MDS is classi- fied into two categories： metadata service and state service, and they can be migrated rapidly from a source MDS to a target MDS in different ways. Firstly, in metadata service migration, all the dirty metadata of one sub file system is flushed to a shared storage pool by the source MDS, and then is loaded by the target MDS. Secondly, in state service mi- gration, all the states of that sub file system are migrated from source MDS to target MDS through network at file granular- ity, and then all of the related structures of these states are reconstructed in target MDS. Thirdly, in the process of work- load migration, instead of blocking client requests, the source MDS can decide which MDS will respond to each request according to the operation type and the migration stage. The proposed mechanism is implemented in the Blue Whale MDS cluster. The performance measurements show that the HWM mechanism is efficient to migrate the workload of a MDS cluster system and provides low-latency access to metadata and states.

关键词： data center metadata server cluster hybrid workload migration metadata service state service low-latency access

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国外高校图书馆科学数据的元数据服务研究

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图书馆学情报学 2017年第9期

作者：黄鑫邓仲华

文章使用文献调研法，介绍了元数据服务研究现状，总结了元数据在科学数据管理中的多方面应用。同时以部分欧美高校图书馆为例，从元数据的介绍服务、创建服务、咨询服务和培训服务四个角度探讨了国外高校图书馆科学数据的元数据服务内容。

关键词：科学数据科学数据服务元数据元数据服务 Research data Research data service metadata metadata service

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