Support for data-intensive, variable-granularity Grid applications via distributed file system virtualization - A case study of Light Scattering Spectroscopy

Jithendar Paladugula, Ming Zhao, Renato J. Figueiredo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from access to data at variable granularities, data management can pose additional programming burdens to an application developer. This paper presents a case for the use of virtualized distributed file systems as a basis for data management for data-intensive, variable-granularity applications. The approach leverages on-demand transfer mechanisms of existing, de-facto network file system clients and servers that support transfers of partial data sets in an application-transparent fashion, and complement them with user-level performance and functionality enhancements such as caching and encrypted communication channels. The paper uses a nascent application from the medical imaging field (Light Scattering Spectroscopy - LSS) as a motivation for the approach, and as a basis for evaluating its performance. Results from performance experiments that consider the 16-processor parallel execution of LSS analysis and database generation programs show that, in the presence of data locality, a virtualized wide-area distributed file system setup and configured by Grid middleware can achieve performance levels close (13% overhead or less) to that of a local disk, and superior (up to 680% speedup) to non-virtualized distributed file systems.

Original languageEnglish (US)
Title of host publicationProceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments
Pages12-21
Number of pages10
DOIs
StatePublished - Dec 27 2004
Externally publishedYes
Eventof Large Applications in Distributed Environments - Honolulu, HI, United States
Duration: Jun 7 2004Jun 7 2004

Publication series

NameProceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments

Other

Otherof Large Applications in Distributed Environments
CountryUnited States
CityHonolulu, HI
Period6/7/046/7/04

ASJC Scopus subject areas

  • Engineering(all)

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    Paladugula, J., Zhao, M., & Figueiredo, R. J. (2004). Support for data-intensive, variable-granularity Grid applications via distributed file system virtualization - A case study of Light Scattering Spectroscopy. In Proceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments (pp. 12-21). (Proceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments). https://doi.org/10.1109/CLADE.2004.1309088