The Improved Research of Chord Based on File-Partition Replication Strategy

2009 ◽  
Author(s):  
Tian-hua Liu ◽  
Ming-yu Bao ◽  
Gui-ran Chang ◽  
Zhenhua Tan
Keyword(s):  
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 A Social-Based DTN Routing in Cooperative Vehicular Sensor Networks

2018 ◽  
Vol 27 (01) ◽  
pp. 1741003 ◽  
Author(s):  
Tong Wang ◽  
Yongzhe Zhou ◽  
Xibo Wang ◽  
Yue Cao
Keyword(s):  
Information System ◽  
Sensor Networks ◽  
High Speed ◽  
Delivery Ratio ◽  
Dtn Routing ◽  
Replication Strategy ◽  
Social Metrics ◽  
Routing Mechanism ◽  
Network Overhead ◽  
Overhead Ratio

As a cooperative information system, vehicles in Vehicular Sensor Networks deliver messages based on collaboration. Due to the high speed of vehicles, the topology of the network is highly dynamic, and the network may be disconnected frequently. So how to transfer large files in such network is worth considering. The encountering nodes which never meet before flood messages blindly cause tremendous network overhead. We address this challenge by introducing the Encounter Utility Rank Router (EURR) based on social metrics. EURR includes three cases: Utility Replication Strategy, Lifetime Replication Strategy and SocialRank Replication Strategy. The Lifetime Replication is promising and complements Utility Replication. It enhances the delivery ratio by relaying the copy via the remaining lifetime. Considering the network overhead, the SocialRank Replication replicates a copy according to the SocialRank when two communicating nodes have not met before. The routing mechanism explores the utility of history encounter information and social opportunistic forwarding. The results under the scenario show an advantage of the proposed EURR over the compared algorithms in terms of delivery ratio, average delivery latency and overhead ratio.

The origin and evolution of human T-cell lymphotropic virus type II (HTLV-II) and the relationship with its replication strategy

Gene ◽  
1999 ◽  
Vol 234 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Marco Salemi ◽  
Anne-Mieke Vandamme ◽  
Jan Desmyter ◽  
Claudio Casoli ◽  
Umberto Bertazzoni
Keyword(s):  
T Cell ◽  
Virus Type ◽  
Type Ii ◽  
Origin And Evolution ◽  
Human T Cell ◽  
Replication Strategy ◽  
The Relationship

Hepatitis B virus: The challenge of an ancient virus with multiple faces and a remarkable replication strategy

2018 ◽  
Vol 158 ◽  
pp. 34-44 ◽  
Author(s):  
Andrea Caballero ◽  
David Tabernero ◽  
Maria Buti ◽  
Francisco Rodriguez-Frias
Keyword(s):  
Hepatitis B Virus ◽  
Hepatitis B ◽  
B Virus ◽  
Replication Strategy

Predictive File Replication on the Data Grids

2012 ◽  
pp. 67-83
Author(s):  
ChenHan Liao ◽  
Na Helian ◽  
Sining Wu ◽  
Mamunur M. Rashid
Keyword(s):  
Decision Tree ◽  
The Other ◽  
Resource Usage ◽  
Simulation Environment ◽  
Data Grids ◽  
Access Latency ◽  
Replication Strategy ◽  
Network Usage ◽  
File Replication ◽  
Effective Network

Most replication methods either monitor the popularity of files or use complicated functions to calculate the overall cost of whether or not a replication decision or a deletion decision should be issued. However, once the replication decision is issued, the popularity of the files is changed and may have already impacted access latency and resource usage. This article proposes a decision-tree-based predictive file replication strategy that forecasts files’ future popularity based on their characteristics on the Grids. The proposed strategy has shown superb performance in terms of mean job time and effective network usage compared with the other two replication strategies, LRU and Economic under OptorSim simulation environment.

Sign in / Sign up

Export Citation Format

Share Document