Article: DLS: a cloud-hosted data caching and prefetching service for distributed metadata access Journal: International Journal of Big Data Intelligence (IJBDI) 2015 Vol.2 No.3 pp.183 - 200 Abstract: Due to the diverse approaches and characteristics of scientific research, valuable resources within most important scientific disciplines exist in heterogeneous storage systems in distributed environments as they are often created and maintained by different information providers. Considering more than half of all data access operations in traditional storage systems are metadata access operations, it is important to design a framework that can effectively query and access valuable metadata information in distributed environments. In this paper, we present a highly efficient caching and prefetching mechanism tailored to reduce metadata access latency and improve responsiveness in wide-area data transfers. We designed dynamically provisioned parallel TCP streams and non-blocking concurrent in-memory cache for the system performance. We have implemented these mechanisms in a cloud-hosted metadata retrieval, caching, and prefetching system called directory listing service (DLS) and have evaluated its performance on both local area and wide area settings. Inderscience Publishers - linking academia, business and industry through research

Title: DLS: a cloud-hosted data caching and prefetching service for distributed metadata access

Authors: Bing Zhang; Brandon Ross; Tevfik Kosar

Addresses: Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, 14260, USA ' Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, 14260, USA ' Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, 14260, USA

Abstract: Due to the diverse approaches and characteristics of scientific research, valuable resources within most important scientific disciplines exist in heterogeneous storage systems in distributed environments as they are often created and maintained by different information providers. Considering more than half of all data access operations in traditional storage systems are metadata access operations, it is important to design a framework that can effectively query and access valuable metadata information in distributed environments. In this paper, we present a highly efficient caching and prefetching mechanism tailored to reduce metadata access latency and improve responsiveness in wide-area data transfers. We designed dynamically provisioned parallel TCP streams and non-blocking concurrent in-memory cache for the system performance. We have implemented these mechanisms in a cloud-hosted metadata retrieval, caching, and prefetching system called directory listing service (DLS) and have evaluated its performance on both local area and wide area settings.

Keywords: metadata retrieval; wide-area transfers; cloud-hosted data caching; prefetching; software as a service; SaaS; distributed metadata access; cloud computing; access latency; access responsiveness.

DOI: 10.1504/IJBDI.2015.070598

International Journal of Big Data Intelligence, 2015 Vol.2 No.3, pp.183 - 200

Received: 03 May 2014
Accepted: 10 Dec 2014
Published online: 13 Jul 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: DLS: a cloud-hosted data caching and prefetching service for distributed metadata access

Keep up-to-date