Synchronous Replica Consistency Protocol with Notification and Response

2008 ◽  
Author(s):  
S. Siva Sathya ◽  
K. Naga Seshu
Keyword(s):  
Consistency Protocol ◽  
Replica Consistency

scholarly journals Access Weight Replica Consistency Protocol for Large Scale Data Grid

2008 ◽  
Vol 4 (2) ◽  
pp. 103-110
Author(s):  
Mohammed Radi ◽  
Ali Mamat ◽  
M. Mat Deris ◽  
Hamidah Ibrahim ◽  
Subramaniam Shamala
Keyword(s):  
Large Scale ◽  
Data Grid ◽  
Large Scale Data ◽  
Consistency Protocol ◽  
Replica Consistency ◽  
Scale Data

scholarly journals A brief survey on replica consistency in cloud environments

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Robson A. Campêlo ◽  
Marco A. Casanova ◽  
Dorgival O. Guedes ◽  
Alberto H. F. Laender
Keyword(s):  
Cloud Environments ◽  
Replica Consistency

Cyber Security Protection for Online Gaming Applications

2018 ◽  
pp. 1647-1655
Author(s):  
Wenbing Zhao
Keyword(s):  
Cyber Security ◽  
Service Providers ◽  
Online Gaming ◽  
High Availability ◽  
Research Issues ◽  
Byzantine Faults ◽  
Open Research ◽  
Replica Consistency

In this article, we point out the threats to online gaming applications and present two strategies that can be used to build secure and dependable online gaming applications. These strategies not only seek the solution for gathering entropy to seed the PRNG used in such applications, but also intend to eliminate malicious intrusions to protect the seed and to maintain replica consistency. By applying these techniques, the online gaming applications can ensure its service integrity (both the service providers and the innocent players are protected) and guarantee high availability despite the presence of Byzantine faults. Finally, we outline some open research issues in this field.

Improving Scalability in Replicated DRTDBS

2020 ◽  
pp. 103-117
Author(s):  
Pratik Shrivastava
Keyword(s):  
Real Time ◽  
Scale Up ◽  
Database Systems ◽  
Real Time Applications ◽  
Real Time Database ◽  
Replica Consistency ◽  
Scalable System

The demand for scalability in replicated distributed real-time database systems (RDRTDBS) is still explorative and, despite an increase in real-time applications, many challenges and issues remain in designing a more scalable system. The objective is to improve the scalability of the system during system scale up with new replica sites. Existing research has been mainly conducted in maintaining replica consistency between different replicas via replication protocol. However, very little research has been conducted towards improving scalability and maintaining mutual consistency and timeliness. Consequently, the ultimate aim of this chapter is to improve scalability in RDRTDBS such that performance of the system does not degrade even though new replica sites are added.

Consistency of Replicated Datasets in Grid Computing

2009 ◽  
pp. 49-58
Author(s):  
Gianni Pucciani ◽  
Flavia Donno ◽  
Andrea Domenici ◽  
Heinz Stockinger
Keyword(s):  
Distributed Systems ◽  
Fault Tolerance ◽  
Grid Computing ◽  
Data Management ◽  
Data Replication ◽  
Data Access ◽  
Grid Middleware ◽  
Pros And Cons ◽  
Consistency Problem ◽  
Replica Consistency

Data replication is a well-known technique used in distributed systems in order to improve fault tolerance and make data access faster. Several copies of a dataset are created and placed at different nodes, so that users can access the replica closest to them, and at the same time the data access load is distributed among the replicas. In today’s Grid middleware solutions, data management services allow users to replicate datasets (i.e., flat files or databases) among storage elements within a Grid, but replicas are often considered read-only because of the absence of mechanisms able to propagate updates and enforce replica consistency. This entry analyzes the replica consistency problem and provides hints for the development of a Replica Consistency Service, highlighting the main issues and pros and cons of several approaches.

Scalable and dynamic replica consistency maintenance for edge-cloud system

2019 ◽  
Vol 101 ◽  
pp. 590-604 ◽  
Author(s):  
Chunlin Li ◽  
Chengyi Wang ◽  
Hengliang Tang ◽  
Youlong Luo
Keyword(s):  
Cloud System ◽  
Consistency Maintenance ◽  
Replica Consistency
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