Dynamic Checkpoint Data Replication Strategy in Computational Grid

2014 ◽  
pp. 95-105
Author(s):  
Ramesh Babu ◽  
Subba Rao
Keyword(s):  
Data Replication ◽  
Computational Grid ◽  
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.

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.

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

scholarly journals A data replication strategy for document-oriented NoSQL systems

2019 ◽  
Vol 10 (1) ◽  
pp. 53 ◽  
Author(s):  
Khaoula Tabet ◽  
Riad Mokadem ◽  
Mohamed Ridda Laouar
Keyword(s):  
Data Replication ◽  
Replication Strategy

A new popularity-based data replication strategy in cloud systems

2021 ◽  
Vol 17 (2) ◽  
pp. 159-177
Author(s):  
Abdenour Lazeb ◽  
Riad Mokadem ◽  
Ghalem Belalem
Keyword(s):  
Service Level Agreement ◽  
Data Replication ◽  
Evaluation Study ◽  
Service Level ◽  
Cloud Provider ◽  
Computing Systems ◽  
Data Intensive ◽  
Replication Strategy ◽  
Context Data ◽  
Replication Technique

Data-intensive cloud computing systems are growing year by year due to the increasing volume of data. In this context, data replication technique is frequently used to ensure a Quality of service, e.g., performance. However, most of the existing data replication strategies just reproduce the same number of replicas on some nodes, which is certainly not enough for more accurate results. To solve these problems, we propose a new data Replication and Placement strategy based on popularity of User Requests Group (RPURG). It aims to reduce the tenant response time and maximize benefit for the cloud provider while satisfying the Service Level Agreement (SLA). We demonstrate the validity of our strategy in a performance evaluation study. The result of experimentation shown robustness of RPURG.

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