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.

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.

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

A New User Implicit Requirements Process Method Oriented to Product Design

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Qi Guo ◽  
Chengqi Xue ◽  
Mingjiu Yu ◽  
Zhangfan Shen
Keyword(s):  
Product Design ◽  
Resource Sharing ◽  
Collaborative Design ◽  
Cloud Service ◽  
User Requirements ◽  
User Requirement ◽  
Service Platform ◽  
Design And Optimization ◽  
Design Activities ◽  
Cloud Service Platform

User requirements play an important role in product design activities. Customer satisfaction has a direct bearing on the acquisition of user requirements for product design. However, these implicit requirements are equipped with the attributes of potentiality, fuzziness, and subjectivity. In this paper, a new implicit user requirement processing method based on a cloud service platform is proposed to resolve the difficulty of acquiring implicit requirements. Initially, this method collects user requirement data via a metaphor extraction technique using a cloud service platform. Then, the requirement data are clustered and mapped with product attributes. Finally, the mapping results are visualized to intuitively instruct product design and optimization. Overall, the method is a user-centered innovation paradigm implemented on a cloud service platform to realize collaborative design and resource sharing. Finally, an application case is presented to illustrate the method, and the results indicate that the method is effective and could serve as a reference for product design.

scholarly journals Deduplication in Cloud Storage

2019 ◽  
Vol 9 (2S) ◽  
pp. 364-368
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Cloud Service ◽  
Information Storage ◽  
Cloud Environment ◽  
Data Deduplication ◽  
Cloud Service Provider ◽  
Level Data ◽  
Block Level ◽  
Individual Client

Cloud Computing is well known today on account of enormous measure of data storage and quick access of information over the system. It gives an individual client boundless extra space, accessibility and openness of information whenever at anyplace. Cloud service provider can boost information storage by incorporating data deduplication into cloud storage, despite the fact that information deduplication removes excess information and reproduced information happens in cloud environment. This paper presents a literature survey alongside different deduplication procedures that have been based on cloud information storage. To all the more likely guarantee secure deduplication in cloud, this paper examines file level data deduplication and block level data deduplication.

scholarly journals PERANCANGAN DIGITAL DASHBOARD SYSTEM UNTUK MENYAJIKAN SENSITIVITY ANALYSIS KINERJA KEUANGAN PERUSAHAAN STUDI KASUS: PT XYZ

2012 ◽  
Vol 6 (2) ◽  
pp. 94
Author(s):  
Dana Indra Sensuse ◽  
Wiliam Suhaidir
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
User Interface ◽  
Financial Performance ◽  
Design Process ◽  
Decision Making Process ◽  
User Requirements ◽  
User Requirement ◽  
Corporate Executives ◽  
Income Statement

Penelitian ini membahas tentang perancangan Digital Dashboard System pada PT XYZ dan dampaknya pada perusahaan tersebut dalam hal pengambilan keputusan. Digital Dashboard dirancang untuk dapat menyajikan sensitivity analysis kinerja keuangan rugi-labarugi-laba PT XYZ. Pada penelitian ini, proses perancangan Digital Dashboard dimulai dari identifikasi variabel, identifikasi user requirement, perancangan user interface hingga proses pengujian. Hasil penelitian ini menunjukan bahwa Digital Dashboard yang baik harus dapat merepresentasikan data yang padat dengan tampilan yang efisien, menarik dan mudah untuk dimengerti. Penelitian ini juga menyatakan bahwa Digital Dashboard yang baik dapat meningkatkan efektifitas eksekutif perusahaan dalam proses pengambilan keputusan. This study discusses the design of the Digital Dashboard System on PT XYZ and its impact on the company in terms of decision making. Digital Dashboard is designed to provide sensitivity analysis of financial performance of PT XYZ's income statement. In this study, the Digital Dashboard design process starts from the identification of variables, identification of user requirements, designing the user interface to the testing process. The results of this study indicate that the good Digital Dashboard should be able to represent the solid data with the efficient view, attractive and easy to understand. The study also states that the good Digital Dashboard can improve the effectiveness of corporate executives in decision-making process.

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