dc.contributor.author |
Thant, Phyu Phyu |
|
dc.date.accessioned |
2022-04-27T05:19:55Z |
|
dc.date.available |
2022-04-27T05:19:55Z |
|
dc.date.issued |
2022-04 |
|
dc.identifier.uri |
https://onlineresource.ucsy.edu.mm/handle/123456789/2603 |
|
dc.description |
DATA RECOVERY IN CLOUD COMPUTING BY USING ENRICHED GENETIC ALGORITHM
(EGA) |
en_US |
dc.description.abstract |
This system implements data recovery in cloud computing by using
Enriched Genetic Algorithm (EGA). Cloud computing provides various
kinds of services to its users. Storage-as-a-service is one of the services
provided by cloud infrastructure in which large amount of electronic data
is stored in cloud. As valuable and important data of enterprises are
stored at a remote location on cloud it is assured that the data is safe and
be available at any time. In situations like flood, fire, earthquakes or any
hardware malfunction or any accidental deletion the data may no longer
remain available. To maintain the data safety, there must be some data
recovery technique for cloud platform to recover valuable and important
data efficiently in such situations mentioned above. In this system, a
multi servers system based on Enriched Genetic Algorithm to recover
the lost data by using four cloud backup servers is discussed. To
achieve reliability, the proposed system provides the flexible for the user
to accumulate data (data restore) from the backup server at the same
time when main cloud server loses its data and is unable to provide data
to user. This system is implemented using ASP.Net programming
language with Microsoft SQL Server 2017 on cloud server. |
en_US |
dc.description.sponsorship |
University of Computer Studies, Yangon |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Computer Studies, Yangon |
en_US |
dc.subject |
DATA RECOVERY IN CLOUD COMPUTING |
en_US |
dc.subject |
ENRICHED GENETIC ALGORITHM (EGA) |
en_US |
dc.title |
DATA RECOVERY IN CLOUD COMPUTING BY USING ENRICHED GENETIC ALGORITHM (EGA) |
en_US |
dc.type |
Thesis |
en_US |