DMCA
Efficient, Modular Metadata Management with Loris
| Citations: | 3 - 1 self |
BibTeX
@MISC{Staereling_efficient,modular,
author = {Richard Van Heuven Van Staereling and David C. Van Moolenbroek and Andrew S. Tanenbaum},
title = {Efficient, Modular Metadata Management with Loris},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract—With the amount of data increasing at an alarming rate, domain-specific user-level metadata management systems have emerged in several application areas to compensate for the shortcomings of file systems. Such systems provide domainspecific storage formats for performance-optimized metadata storage, search-based access interfaces for enabling declarative queries, and type-specific indexing structures for performing scalable search over metadata. In this paper, we highlight several issues that plague these user-level systems. We then show how integrating metadata management into the Loris stack solves all these problems by design. In doing so, we show how the Loris stack provides a modular framework for implementing domainspecific solutions by presenting the design of our own Loris-based metadata management system that provides 1) LSM-tree-based metadata storage, 2) an indexing infrastructure that uses LSMtrees for maintaining real-time attribute indices, and 3) scalable metadata querying using an attribute-based query language. I.
Keyphrases
modular metadata management loris stack type-specific indexing structure attribute-based query language modular framework lsm-tree-based metadata storage indexing infrastructure domain-specific user-level metadata management system scalable metadata file system scalable search loris-based metadata management system several issue several application area real-time attribute index search-based access interface declarative query domainspecific storage format performance-optimized metadata storage integrating metadata management user-level system domainspecific solution
