Designing high performance web-based computing services to promote telemedicine database management system

Ismail Hababeh, Issa Khalil, Abdallah Khreishah

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications' execution; achieves cost-effective communications during applications' processing and improves applications' response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services' techniques on various performance features like communications cost, response time, and throughput. The external validation is achieved by comparing the performance of our approach to that of other techniques in the literature. The results show that our integrated approach significantly improves the performance of web database systems and outperforms its counterparts.

Original languageEnglish
Article number6714614
Pages (from-to)47-64
Number of pages18
JournalIEEE Transactions on Services Computing
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015

Fingerprint

Telemedicine
Websites
Throughput
Communication
Web-based
High performance
Data base
Database management systems
World Wide Web
Costs
Health
Response time
Monitoring
Processing

Keywords

  • data distribution
  • database fragmentation
  • sites clustering
  • Web telemedicine database systems (wtds)

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Computer Networks and Communications

Cite this

Designing high performance web-based computing services to promote telemedicine database management system. / Hababeh, Ismail; Khalil, Issa; Khreishah, Abdallah.

In: IEEE Transactions on Services Computing, Vol. 8, No. 1, 6714614, 01.01.2015, p. 47-64.

Research output: Contribution to journalArticle

@article{816caa50c1984b6aa50c79b93af71a1f,
title = "Designing high performance web-based computing services to promote telemedicine database management system",
abstract = "Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications' execution; achieves cost-effective communications during applications' processing and improves applications' response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services' techniques on various performance features like communications cost, response time, and throughput. The external validation is achieved by comparing the performance of our approach to that of other techniques in the literature. The results show that our integrated approach significantly improves the performance of web database systems and outperforms its counterparts.",
keywords = "data distribution, database fragmentation, sites clustering, Web telemedicine database systems (wtds)",
author = "Ismail Hababeh and Issa Khalil and Abdallah Khreishah",
year = "2015",
month = "1",
day = "1",
doi = "10.1109/TSC.2014.2300499",
language = "English",
volume = "8",
pages = "47--64",
journal = "IEEE Transactions on Services Computing",
issn = "1939-1374",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Designing high performance web-based computing services to promote telemedicine database management system

AU - Hababeh, Ismail

AU - Khalil, Issa

AU - Khreishah, Abdallah

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications' execution; achieves cost-effective communications during applications' processing and improves applications' response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services' techniques on various performance features like communications cost, response time, and throughput. The external validation is achieved by comparing the performance of our approach to that of other techniques in the literature. The results show that our integrated approach significantly improves the performance of web database systems and outperforms its counterparts.

AB - Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications' execution; achieves cost-effective communications during applications' processing and improves applications' response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services' techniques on various performance features like communications cost, response time, and throughput. The external validation is achieved by comparing the performance of our approach to that of other techniques in the literature. The results show that our integrated approach significantly improves the performance of web database systems and outperforms its counterparts.

KW - data distribution

KW - database fragmentation

KW - sites clustering

KW - Web telemedicine database systems (wtds)

UR - http://www.scopus.com/inward/record.url?scp=84898005465&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898005465&partnerID=8YFLogxK

U2 - 10.1109/TSC.2014.2300499

DO - 10.1109/TSC.2014.2300499

M3 - Article

VL - 8

SP - 47

EP - 64

JO - IEEE Transactions on Services Computing

JF - IEEE Transactions on Services Computing

SN - 1939-1374

IS - 1

M1 - 6714614

ER -