DLS: a cloud-hosted data caching and prefetching service for distributed metadata access Online publication date: Mon, 13-Jul-2015
by Bing Zhang; Brandon Ross; Tevfik Kosar
International Journal of Big Data Intelligence (IJBDI), Vol. 2, No. 3, 2015
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.
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