Master Thesis MSTR-2010-01

BibliographyMugab, Sabah Mohammad: Multi-Tenancy Aware Full-Text Indexing Framework for an Enterprise Content Management Archive Service in the Cloud.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 1 (2010).
98 pages, english.
Abstract

With the intension of being compliant with government regulations, businesses today necessitate to archive electronic documents like emails and instant messages, in addition to physical documents pertinent to their business. In unison to the former requirement, businesses also desire this at a nominal price. An answer to such need would be an “Archive service in the cloud”, where a business only pays for the resources it utilizes. This implies paying practically no initial or fixed costs. In this context, projects were established to develop a prototype for scalable, serviceoriented archive service for the cloud. Previously it was mostly dedicated towards achieving a reachable throughput, providing a consistent global catalog, and the scalability of the system. Thereafter this thesis was proposed with the goal of providing an infrastructure to support multi-tenancy aware full text indexing in the cloud environment. The outcome of this thesis is an approach of managing multiple tenants in a single instance of full text indexing system in an archive cloud environment. A global and consistent view of tenants’ indices has been achieved by a relational database and a scalable and distributed full text indexing system. In addition to this, functionalities like tenant provisioning and de-provisioning, sharing indices between tenants, ensuring security for individual tenant’s indexed information have been accomplished and evaluated.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Superviser(s)Mitschang, Prof. Bernhard; Moosbrugger, Alexander
Entry dateMay 23, 2019
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