Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)

Effective Remote Communication for Cloud Backup

Authors
K Sai Krishna, D John Aravindhar, M.N. Sushmitha
Corresponding Author
K Sai Krishna
Available Online February 2018.
DOI
https://doi.org/10.2991/pecteam-18.2018.15How to use a DOI?
Keywords
Multilevel log compression, communication overhead, chunk level duplication.
Abstract
Today we live in a world where tons of data is been generated, so in order to store all these data, we need many numbers of servers and networking which are more expensive in buying and maintaining them which creates more complexity. In order to resolve this problem we had implemented cloud computing i.e it provides IT resources as the service to the user and charge as per their usage. Generally public cloud lacks security and there is a loss of control over the data center so we implement a private cloud in an organization as it has proper security and also there is a complete control over the data center, this private cloud provides us the system and the services like SAAS, PAAS and IAAS limited to an organization. This paper tells us how to establish a private cloud in an organization. When we establish a private cloud there should be a proper backup i.e copying the data for limiting the loss in case of a corruption or failure, 90% of the companies who did not have a backup did not come back to business after 9/11 incident in the Twin Tower disaster in the USA. This is why we need to backup for protection and generally, we use the progressive incremental backup. Generally logs are been used to have a long-term storage and there is a need to have storage efficiency by using compression algorithms like log specific and tradition lossless compression algorithms, the main drawback is that it ignores the semantics of logs so there is no satisfactory compression ratio mainly in the well-structured composition and the similarity between the both. To make better compression ratio of the cloud backup system this paper explains about multi level log compression method. In order to prevent the data being lost due to natural calamities and also few network problem issues, we do remote-backup. In the present society many of the large data centers generally use remote backups for the improvement of system function, it includes heavy communication overhead and potential errors because of the more distance and costly network transmission. To solve this problem we invented a remote communication service called Neptune. It is a cost-effective time-saver method, it transfers huge data even to the far distance data centers. The time saver method in Neptune is deleting the mistakes making a group for similar files. To remove the space between them it uses chunk level duplication and delta compression, the chunk level duplication eliminate wrong files where as the delta compression makes a group of similar files to control the overheads and difficulty, it uses hashing for grouping same files and time-saver method is for quick remote recovery and examine the Neptune by making use of the present world applications linked HP, GOOGLE, MSN when in comparison with state of the art work.
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Proceedings
International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
Part of series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-492-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/pecteam-18.2018.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - K Sai Krishna
AU  - D John Aravindhar
AU  - M.N. Sushmitha
PY  - 2018/02
DA  - 2018/02
TI  - Effective Remote Communication for Cloud Backup
BT  - International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
PB  - Atlantis Press
SP  - 75
EP  - 81
SN  - 2352-5401
UR  - https://doi.org/10.2991/pecteam-18.2018.15
DO  - https://doi.org/10.2991/pecteam-18.2018.15
ID  - SaiKrishna2018/02
ER  -