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Husni Hamad E. Al-Mistarihi

dblp:68/7270 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › grid computing
data grid
0.112009
On Fairness, Optimizing Replica Selection in Data Grids · IEEE Trans. Parallel Distributed Syst. 2009
Distributed systems › replication
data replication
0.112009
On Fairness, Optimizing Replica Selection in Data Grids · IEEE Trans. Parallel Distributed Syst. 2009
Distributed systems › replication › replica management
replica selection
0.112009
On Fairness, Optimizing Replica Selection in Data Grids · IEEE Trans. Parallel Distributed Syst. 2009

Methods — techniques the papers use, named apart from their topics

simulation · 0.1analytical hierarchy process · 0.1
YearPublicationVenuePosition
2009 On Fairness, Optimizing Replica Selection in Data Grids
abstract
The emergence of scientific applications that produce huge volume of data files requires special attention, and leads to the problem of how to manage and share such data files in wide area properly. In large-scale Grid, data replication provides a suitable solution for managing data files where data reliability and data availability are enhanced. Replica selection is one of the major functions of data replication that decides which replica location is the best for Grid users. In this paper, we address the replica selection problem in a Grid environment where the users are competing for the limited data resource. Thus, our aim is to establish fairness among the users in the selection decisions. Since the criteria that play a role in the selection process conflict with each other and produce heterogeneous values, the Analytical Hierarchy Process is used to solve this optimization problem. The proposed system validity and performance are evaluated by using a simulation. The simulation results were produced and discussed in this paper.
Husni Hamad E. Al-Mistarihi
IEEE Trans. Parallel Distributed Syst.1