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  4. Ad Hoc File Systems for High-Performance Computing
 
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2020
Journal Article
Title

Ad Hoc File Systems for High-Performance Computing

Abstract
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 non-volatile random access memory (NVRAM) are deployed within compute nodes. Including these new storage technologies into scientific workflows is unfortunately today a mostly manual task, and most scientists therefore do not take advantage of the faster storage media. One approach to systematically include nodelocal SSDs or NVRAMs into scientific workflows is to deploy ad hoc file systems over a set of compute nodes, which serve as temporary storage systems for single applications or longer-running campaigns. This paper presents results from the Dagstuhl Seminar 17202 ""Challenges and Opportunities of User-Level File Systems for HPC"" and discusses application scenarios as well as design strategies for ad hoc file systems using node-local storage media. The discussion includes open research questions, such as how to couple ad hoc file systems with the batch scheduling environment and how to schedule stage-in and stage-out processes of data between the storage backend and the ad hoc file systems. Also presented are strategies to build ad hoc file systems by using reusable components for networking and how to improve storage device compatibility. Various interfaces and semantics are presented, for example those used by the three ad hoc file systems BeeOND, GekkoFS, and BurstFS. Their presentation covers a range from file systems running in production to cutting-edge research focusing on reaching the performance limits of the underlying devices.
Author(s)
Brinkmann, A.
Mohror, K.
Yu, W.
Carns, P.
Cortes, T.
Klasky, S.A.
Miranda, A.
Pfreundt, F.-J.
Ross, R.B.
Vef, M.-A.
Journal
Journal of Computer Science and Technology  
Open Access
DOI
10.1007/s11390-020-9801-1
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
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