scholarly journals SEDReS: Storage Effective Data Replication Strategy in Cloud Environment

Helix ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. 4468-4473
Author(s):  
Manish Gudadhe
Keyword(s):  
Data Replication ◽  
Cloud Environment ◽  
Replication Strategy

Enhanced Data Security from Single Clouds to Multiclouds

2018 ◽  
Vol 6 (9) ◽  
pp. 66
Author(s):  
Umesh Banodha ◽  
Praveen Kumar Kataria
Keyword(s):  
Data Storage ◽  
Network Connectivity ◽  
Data Replication ◽  
Recovery Process ◽  
Cloud Environment ◽  
Storage Security ◽  
Cloud Data ◽  
Replication Strategy ◽  
Cloud Data Storage ◽  
Data Files

Cloud is an emerging technology that stores the necessary data and electronic form of data is produced in gigantic quantity. It is vital to maintain the efficacy of this data the need of data recovery services is highly essential. Cloud computing is anticipated as the vital foundation for the creation of IT enterprise and it is an impeccable solution to move databases and application software to big data centers where managing data and services is not completely reliable. Our focus will be on the cloud data storage security which is a vital feature when it comes to giving quality service. It should also be noted that cloud environment comprises of extremely dynamic and heterogeneous environment and because of high scale physical data and resources, the failure of data centre nodes is completely normal.Therefore, cloud environment needs effective adaptive management of data replication to handle the indispensable characteristic of the cloud environment. Disaster recovery using cloud resources is an attractive approach and data replication strategy which attentively helps to choose the data files for replication and the strategy proposed tells dynamically about the number of replicas and effective data nodes for replication. Thus, the objective of future algorithm is useful to help users together the information from a remote location where network connectivity is absent and secondly to recover files in case it gets deleted or wrecked because of any reason. Even, time oriented problems are getting resolved so in less time recovery process is executed.

Comparative Analysis of Different Data Replication Strategies in Cloud Environment

2021 ◽  
Author(s):  
K. Sasikumar ◽  
B. Vijayakumar
Keyword(s):  
Comparative Analysis ◽  
Performance Analysis ◽  
Comparative Study ◽  
Response Time ◽  
Data Replication ◽  
Effective Rate ◽  
Cloud Environment ◽  
Replication Strategy ◽  
Placement Algorithm ◽  
Comparative Results

In this paper, we performed a comparative study of the different data replication strategies such as Adaptive Data Replication Strategy (ADRS), Dynamic Cost Aware Re-Replication and Rebalancing Strategy (DCR2S) and Efficient Placement Algorithm (EPA) in the cloud environment. The implementation of these three techniques is done in JAVA and the performance analysis is conducted to study the performance of those replication techniques by various parameters. The parameters used for the performance analysis of these three techniques are Load Variance, Response Time, Probability of File Availability, System Byte Effective Rate (SBER), Latency, and Fault Ratio. From the analysis, it is evaluated that by varying the number of file replicas, it shows deviations in the outcomes of these parameters. The comparative results were also analyzed.

Data Redundancy Replication Strategy Based on Relevant Failure in Cloud Environment

2014 ◽  
Vol 989-994 ◽  
pp. 4913-4916
Author(s):  
Lei Liu ◽  
Dan Li ◽  
Chun Shen ◽  
Wen Bo Zhou
Keyword(s):  
Cloud Storage ◽  
Data Replication ◽  
User Requirements ◽  
Cloud Environment ◽  
User Requirement ◽  
Static Data ◽  
Replication Strategy ◽  
Active Research ◽  
The Moment ◽  
Research Domain

Cloud storage is an active research domain currently, and how to secure the reliability of data is an important research issue. For the moment, most systems apply the static data replication strategy, which causes a serious waste of storage resources. Considering the user requirements and the factors influenced on data reliability, i.e., the node reliability and Relevant Failure Degree, Data Replication Strategy based on Relevant Failure is provided in this paper. According to the results of the experiments, our strategy reduces the number of data replicas and meets the user requirement of reliability at the same time. Besides, the strategy has a better performance on increasing the utilization of storage resources.

scholarly journals A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 40240-40254
Author(s):  
Ahmed Awad ◽  
Rashed Salem ◽  
Hatem Abdelkader ◽  
Mustafa Abdul Salam
Keyword(s):  
Data Replication ◽  
Cloud Environment ◽  
Dynamic Data ◽  
Dynamic Data Replication ◽  
Intelligent Approach

scholarly journals Data replication strategy with satisfaction of availability, performance and tenant budget requirements

2019 ◽  
Vol 22 (4) ◽  
pp. 1199-1210 ◽  
Author(s):  
Said Limam ◽  
Riad Mokadem ◽  
Ghalem Belalem
Keyword(s):  
Data Replication ◽  
Replication Strategy

Towards a New Data Replication Management in Cloud Systems

2019 ◽  
Vol 10 (2) ◽  
pp. 1-20
Author(s):  
Abdenour Lazeb ◽  
Riad Mokadem ◽  
Ghalem Belalem
Keyword(s):  
Large Scale ◽  
Data Replication ◽  
Cloud Provider ◽  
Large Scale Data ◽  
Dynamic Replication ◽  
Replication Strategy ◽  
Multiple Copies ◽  
Cloud Environments ◽  
Real Challenge ◽  
Scale Data

Applications produce huge volumes of data that are distributed on remote and heterogeneous sites. This generates problems related to access and sharing data. As a result, managing data in large-scale environments is a real challenge. In this context, large-scale data management systems often use data replication, a well-known technique that treats generated problems by storing multiple copies of data, called replicas, across multiple nodes. Most of the replication strategies in these environments are difficult to adapt to cloud environments. They aim to achieve the best performance of the system without meeting the important objectives of the cloud provider. This article proposes a new dynamic replication strategy. The proposed algorithm significantly improves provider gain without neglecting customer satisfaction.

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