Analysis of Server Provisioning for Distributed Interactive Applications

Increasing geographical spreads of modern distributed interactive applications (DIAs) make distributed server deployment vital for combating network latency and improving the interactivity among participants. In this paper, we investigate the server provisioning problem that concerns where to place...

Full description

Saved in:
Bibliographic Details
Main Authors: Zheng, Hanying, Tang, Xueyan
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/80933
http://hdl.handle.net/10220/38973
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-80933
record_format dspace
spelling sg-ntu-dr.10356-809332020-05-28T07:17:16Z Analysis of Server Provisioning for Distributed Interactive Applications Zheng, Hanying Tang, Xueyan School of Computer Engineering Distributed interactive application Server placement Interactivity Increasing geographical spreads of modern distributed interactive applications (DIAs) make distributed server deployment vital for combating network latency and improving the interactivity among participants. In this paper, we investigate the server provisioning problem that concerns where to place servers for DIAs. We formulate the server provisioning problem with an objective of reducing the network latency involved in the interaction between participants. We prove that the problem is NP-hard under several scenarios. We analyze the performance of the classical k-median server placement for DIAs and propose a new greedy server provisioning heuristic for DIAs. Theoretical analysis shows that the approximation ratio of the proposed greedy algorithm is much lower than that of the k-median placement. Experiments using real Internet latency data also show that our proposed algorithm significantly outperforms the k-median and other baseline server placements. MOE (Min. of Education, S’pore) Accepted version 2015-12-07T04:27:35Z 2019-12-06T14:17:43Z 2015-12-07T04:27:35Z 2019-12-06T14:17:43Z 2015 Journal Article Zheng, H., & Tang, X. (2015). Analysis of Server Provisioning for Distributed Interactive Applications. IEEE Transactions on Computers, 64(10), 2752-2766. 0018-9340 https://hdl.handle.net/10356/80933 http://hdl.handle.net/10220/38973 10.1109/TC.2014.2378252 en IEEE Transactions on Computers © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TC.2014.2378252]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Distributed interactive application
Server placement
Interactivity
spellingShingle Distributed interactive application
Server placement
Interactivity
Zheng, Hanying
Tang, Xueyan
Analysis of Server Provisioning for Distributed Interactive Applications
description Increasing geographical spreads of modern distributed interactive applications (DIAs) make distributed server deployment vital for combating network latency and improving the interactivity among participants. In this paper, we investigate the server provisioning problem that concerns where to place servers for DIAs. We formulate the server provisioning problem with an objective of reducing the network latency involved in the interaction between participants. We prove that the problem is NP-hard under several scenarios. We analyze the performance of the classical k-median server placement for DIAs and propose a new greedy server provisioning heuristic for DIAs. Theoretical analysis shows that the approximation ratio of the proposed greedy algorithm is much lower than that of the k-median placement. Experiments using real Internet latency data also show that our proposed algorithm significantly outperforms the k-median and other baseline server placements.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Zheng, Hanying
Tang, Xueyan
format Article
author Zheng, Hanying
Tang, Xueyan
author_sort Zheng, Hanying
title Analysis of Server Provisioning for Distributed Interactive Applications
title_short Analysis of Server Provisioning for Distributed Interactive Applications
title_full Analysis of Server Provisioning for Distributed Interactive Applications
title_fullStr Analysis of Server Provisioning for Distributed Interactive Applications
title_full_unstemmed Analysis of Server Provisioning for Distributed Interactive Applications
title_sort analysis of server provisioning for distributed interactive applications
publishDate 2015
url https://hdl.handle.net/10356/80933
http://hdl.handle.net/10220/38973
_version_ 1681057370473496576