JOURNAL ARTICLE

Deduplication With Minimum Workload On Cloud Server Approach

PROF. S.B. RATHOD

Year: 2018 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Cloud computing has a wide range of user to access its features,services and resources over the internet. The centralize cloud management was develop to satisfy efficiency. In cloud services resource control,resource management and workload on the server are some challenging issues. Load balancing helps to minimize the workload on the server by evenly distributing cloud resources on each server in cloud. Data de - duplication involves the process of detecting repetitive data. Elimination of duplicated data leads to reduction in data and network bandwidth. The proposed method focuses on the storage efficiency,provide security and load balancing. To carry out this process perform de - duplication process,chunking o f data,hash function,load balancing. https://www.ijiert.org/paper-details?paper_id=140907

Keywords:
Data deduplication Cloud computing Workload Load balancing (electrical power) Server Process (computing) Failover Server farm Reduction (mathematics)

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Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Internet of Things and AI
Physical Sciences →  Computer Science →  Information Systems

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