Dissertation/Thesis Abstract

Restoration of data in a cloud environment
by Namoshi, Deepti, M.S., California State University, Long Beach, 2011, 57; 1499282
Abstract (Summary)

"Innovation is the ability to see change as an opportunity-not a threat." Cloud computing has materialized in revolutionizing the technological industry. Resources including huge chunks of data residing anywhere across the globe, software and several web services are provided to users on the fly as services. These Cloud resources are highly scalable and customers pay only for the service they use. Cloud computing has brought back centralization of computer systems, but in a virtual sense. Virtual centralization of resources in a nutshell, provides easy access to data residing in any part of the world. Several organizations run applications on a Cloud environment by accessing data resources from remote servers. Nevertheless, there is a consistent amount of redundant data that is not required by users. Customers who intend to store their data on a Cloud would be concerned about the investment involved in the storage of such data. Therefore, cost and space issues associated with such data needs to be addressed in order to minimize costs as much as possible. In this thesis, we will discuss the storage and cost aspects of Cloud computing, to gain a better knowledge of data stored on the Cloud.

Further, we would extend our study to find a concise way to separate the data we hold and categorize it as critical information and non-critical information to deduce a way of storing redundant files or non-critical data on a Cloud. An effort is made to remove redundancy of data that is not critical. Also, a solution is proposed in handling costs involved in storing this data for small and medium scale organizations.

Indexing (document details)
Advisor: Englert, Burkhard
Commitee:
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 50/01M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords:
Publication Number: 1499282
ISBN: 9781124857756
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