✦ LIBER ✦

Oasis: an architecture for simplified data management and disconnected operation

✍ Scribed by Maya Rodrig; Anthony LaMarca

Book ID: 106235046
Publisher: Springer
Year: 2005
Tongue: English
Weight: 440 KB
Volume: 9
Category: Article
ISSN: 1617-4909
DOI: 10.1007/s00779-004-0315-6

No coin nor oath required. For personal study only.

✦ Synopsis

Oasis is an asymmetric peer-to-peer data management system tailored to the requirements of pervasive computing. Drawing upon applications from the literature, we motivate three high-level requirements: availability, manageability, and programmability. Oasis addresses these requirements by employing a peer-topeer network of weighted replicas and performing background self-tuning. In this paper, we describe our architecture, our consistency-control mechanism, and an initial implementation. Our performance evaluation and the implementation of three applications suggest that Oasis offers good availability and performance while providing a simple API and a familiar consistency model.

📜 SIMILAR VOLUMES

Oasis: an architecture for simplified da

Oasis: an architecture for simplified data management and disconnected operation

✍ Maya Rodrig; Anthony LaMarca 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 440 KB

An Architecture for the Management of GI

An Architecture for the Management of GIS Data Files

✍ Gregory Vert; Molly Stock; Piotr Jankowski; Paul Gessler 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB

An ODMG-compatible testbed architecture

An ODMG-compatible testbed architecture for scalable management and analysis of physics data

✍ David M. Malon; Edward N. May 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 421 KB

This paper describes a testbed architecture for the investigation and development of scalable approaches to the management and analysis of massive amounts of high energy physics data. The architecture has two components: an interface layer that is compliant with a substantial subset of the ODMG-93 V

The data grid: Towards an architecture f

The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets

✍ Ann Chervenak; Ian Foster; Carl Kesselman; Charles Salisbury; Steven Tuecke 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 79 KB

In an increasing number of scientific disciplines, large data collections are emerging as important community resources. In this paper, we introduce design principles for a data management architecture called the data grid. We describe two basic services that we believe are fundamental to the design