JOURNAL ARTICLE

Competitive Analysis for the Auditing Cloud Consistency

Rashmi AshtagiJyoti R. MaranurAfsha AkkalkotShweta M MadiwalSridevi HosmaniArunadevi Khaple

Year: 2022 Journal:   International Journal of Scientific Research in Science and Technology Pages: 408-414   Publisher: Technoscience Academy

Abstract

Cloud storage is one of the service of cloud comput- ing. Cloud storage services are commercially popular because to their advantages. It allows data owners to move data from their local computing systems to the cloud. It offers high quality and on-demand data storage services to users. A cloud is essentially a large-scale distributed system; each piece of data is replicated on multiple geographically distributed servers to achieve high availability and high performance. A cloud service provider (CSP) keeps multiple replicas for user’s data on geographically distributed servers. A main problem of using the replication technique in clouds is that it is very expensive to achieve strong consistency on a worldwide scale. In this paper, we are reviewing consistency as a service (CaaS) model, a two-level auditing architecture and a heuristic auditing strategy (HAS) that reveals as many violations as possible.

Keywords:
Cloud computing Computer science Server Consistency (knowledge bases) Distributed computing Audit Replication (statistics) Cloud storage High availability Distributed data store Eventual consistency Service (business) Data integrity Database Scale (ratio) Data consistency Computer network Operating system Consistency model Accounting Business

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
17
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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