Tagit: an integrated indexing and search service for file systems

Conference · Sun Jan 01 00:00:00 EST 2017

DOI:https://doi.org/10.1145/3126908.3126929· OSTI ID:1567467

Sim, Hyogi ^[1]; Kim, Youngjae ^[2]; Vazhkudai, Sudharshan S. ^[3]; Vallée, Geoffroy R. ^[3]; Lim, Seung-Hwan ^[3]; Butt, Ali R. ^[4]

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1. Virginia Tech and Oak Ridge National Laboratory
2. Sogang University
3. Oak Ridge National Laboratory
4. Virginia Tech

Data services such as search, discovery, and management in scalable distributed environments have traditionally been decoupled from the underlying file systems, and are often deployed using external databases and indexing services. However, modern data production rates, looming data movement costs, and the lack of metadata, entail revisiting the decoupled file system-data services design philosophy. In this paper, we present TagIt, a scalable data management service framework aimed at scientific datasets, which is tightly integrated into a shared-nothing distributed file system. A key feature of TagIt is a scalable, distributed metadata indexing framework, using which we implement a flexible tagging capability to support data discovery. The tags can also be associated with an active operator, for pre-processing, filtering, or automatic metadata extraction, which we seamlessly offload to file servers in a load-aware fashion. Our evaluation shows that TagIt can expedite data search by up to 10X over the extant decoupled approach.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1567467
• Resource Relation: Conference: SC '17 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
Computer Science