A Tool Based Edge Server Selection Technique using Spatial Data Structure

Sandip Roy; Debabrata Sarddar; Rajesh Bose

A Tool Based Edge Server Selection Technique using Spatial Data Structure

Sandip Roy * §

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Debabrata Sarddar

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Rajesh Bose

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A Tool Based Edge Server Selection Technique using Spatial Data Structure

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Abstract

Space partitioning is the process of dividing a Euclidean space into a non-overlapping regions. Kdimensional tree is such space-partitioning data structure for partitioning a Euclidean plane like the surface of earth. This paper describes a tool-based logically partitioning technique of earth surface using K-dimensional tree to segregate the edge servers over the earth surface into a nonoverlapping regions for the particular Content Delivery Network. Consequently selecting an edge server based on Least Response Time lo ad balancing algorithm is introduced to improve end-user response time and fault tolerance of the host server.

References

14 Cites in Article

Reference Format

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D Sarddar,S Roy,R Bose (2014). An Efficient Edge Servers Selection in Content Delivery Network Using Voronoi Diagram.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sandip Roy, Debabrata Sarddar, Rajesh Bose. 2014. "A Tool Based Edge Server Selection Technique using Spatial Data Structure". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 14 (GJCST Volume 14 Issue G3).

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GJCST Volume 14 Issue G3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

content delivery network K-d tree least response time load-balancing nearest neighbor search spatial data structure

Classification

GJCST-G Classification E.1

Submission ReceivedDecember 14, 2013
Peer Review Double Blind
Handling Editor
Accepted January 1, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

October 15, 2014

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Debabrata Sarddar, Sandip Roy, Rajesh Bose (PhD/Dr. count: 0)

View Count (all-time): 463

Total Views (Real + Logic): 3346

Total Downloads (simulated): 224

Publish Date: 2014 01, Wed

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Total Views: 3.3K

Total Downloads: 224

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