Data Replication Using Experience Based Trust in a Data Grid Environment

2008 ◽  
pp. 39-50 ◽  
Author(s):  
Shaik Naseera ◽  
T. Vivekanandan ◽  
K. V. Madhu Murthy
Keyword(s):  
Data Replication ◽  
Data Grid ◽  
Grid Environment

Job scheduling and dynamic data replication in data grid environment

2013 ◽  
Vol 64 (1) ◽  
pp. 204-225 ◽  
Author(s):  
Najme Mansouri ◽  
Gholam Hosein Dastghaibyfard
Keyword(s):  
Job Scheduling ◽  
Data Replication ◽  
Data Grid ◽  
Grid Environment ◽  
Dynamic Data ◽  
Dynamic Data Replication

A survey on data replication strategies in a Data Grid environment

2017 ◽  
Vol 12 (4) ◽  
pp. 253-269
Author(s):  
Shaik Naseera
Keyword(s):  
Data Replication ◽  
Data Grid ◽  
Grid Environment

Diagonal Data Replication in Grid Environment

2007 ◽  
pp. 763-773
Author(s):  
Rohaya Latip ◽  
Hamidah Ibrahim ◽  
Mohamed Othman ◽  
Md Nasir Sulaiman ◽  
Azizol Abdullah
Keyword(s):  
Data Replication ◽  
Grid Environment

Study of Scheduling Strategies in a Dynamic Data Grid Environment

2004 ◽  
pp. 88-94 ◽  
Author(s):  
R. A. Dheepak ◽  
Shakeb Ali ◽  
Shubhashis Sengupta ◽  
Anirban Chakrabarti
Keyword(s):  
Data Grid ◽  
Grid Environment ◽  
Dynamic Data ◽  
Scheduling Strategies

Quorum Based Data Replication in Grid Environment

2008 ◽  
pp. 379-386 ◽  
Author(s):  
Rohaya Latip ◽  
Hamidah Ibrahim ◽  
Mohamed Othman ◽  
Md Nasir Sulaiman ◽  
Azizol Abdullah
Keyword(s):  
Data Replication ◽  
Grid Environment

Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

2009 ◽  
pp. 256-275 ◽  
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Data Grid ◽  
Informed Decision ◽  
Data Sources ◽  
Grid Technology ◽  
Distributed Data ◽  
Grid Environment ◽  
Design And Implementation ◽  
Response Decision

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.

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