Article

Software Performance Engineering of a Web service-based Clinical Decision Support infrastructure

General Chair: Jozo Dujmović Program Chairs: Virgilio Almeida, Doug LeaAuthors Info & Claims

WOSP '04: Proceedings of the 4th international workshop on Software and performance

Pages 130 - 138

https://doi.org/10.1145/974044.974066

Published: 01 January 2004 Publication History

Abstract

This paper has two contributions: a) it proposes a web services-based infrastructure to support Clinical Decision Support Systems (CDSSs) for processing multi-domain medical data from the obstetrical, perinatal and neonatal care domains, and b) applies Software Performance Engineering (SPE) to the proposed infrastructure. This extends a XML-based framework for medical data interoperability and integration of CDSSs into the Neonatal Intensive Care Unit, developed previously by the authors. The framework integrates CDSSs, such as Artificial Neural Networks (ANNs), Case-Based Reasoning (CBR) tools, and alert detection systems. The goal is to reduce medical errors, to support the physician's decision-making process and to improve ultimately patient care. We applied SPE from the early design stages in order to ensure that the system will meet its performance requirements, and to identify possible solutions for relieving the performance limitations of this prototype system. The performance evaluation is based on a layered queuing network model of the proposed web services-based infrastructure.

References

[1]

BöhmeT., RahmE. "Benchmarking XML database systems: First experiences", Proc. 9th Int. Workshop High Performance Transaction Systems, Apr. 2001.]]

Google Scholar

[2]

Bressan S., Mong L., Li YG., Lacroix Z., Nambiar U. "The X007 XML Management System Benchmark",_NUS CS Dept Technical Report TR21/00, November, 2001. http://www.comp.nus.edu.sg/-ebh/X007.html]]

Google Scholar

[3]

Catley C, Frize M. "A Prototype XML-Based Implementation of an Integrated 'Intelligent' Neonatal Intensive Care Unit". Proc IEEE Conf. on Information Technology Applications in Biomedicine, April 2003.]]

Google Scholar

[4]

Catley C., Frize M., Walker CR., St-Germain L. "Integrating Clinical Alerts into an XML-Based Health Care Framework for the Neonatal Intensive Care Unit", Proc. Joint IEEE EMBS Conf., Sept. 2002.]]

Google Scholar

[5]

Frize M, Walker CR. "Development of an Evidence-Based Ethical Decision-Making Tool for Neonatal Intensive Care Medicine". Proc. IEEE EMBS Conf. Sept. 2003. 137.]]

Google Scholar

[6]

Graham S. Building Web Services with Java: Making Sense of XML, SOAP, WSDL, and UDDI. SAMS Publishing, Indianapolis, 2002.]]

Digital Library

Google Scholar

[7]

Menasce D, Almeida V. Capacity Planning for Web Services. Prentice Hall. 2002.]]

Digital Library

Google Scholar

[8]

Petriu DC, Shousha C, Jalnapurkar A. "Architecture-Based Performance Analysis Applied to a Telecommunication System". IEEE Transactions on Software Engineering, vol 26, No. 11, November 2000. 1049--1065.]]

Digital Library

Google Scholar

[9]

Petriu DC., Woodside CM., "Performance Analysis with UML", chapter in UML for Real: Design of Embedded Real-Time Systems (L. Lavagno, G. Martin and B. Selic, Eds.), ISBN 1-4020-7501-4, Kluwer, 2003.]]

Digital Library

Google Scholar

[10]

Runapongsa, K., Patel, J. M., Jagadish, H. V., Al-Khalifa, S., "The Michigan Benchmark: Towards XML Query Performance Diagnostics", Feb. 2002 http://www.eecs.umich.edu/db/mbench/bmShortV.pdf]]

Google Scholar

[11]

Smith, C. U., Performance Engineering of Software Systems, Addison Wesley, 1990.]]

Digital Library

Google Scholar

[12]

Smith, C. U., Williams, L. G., Performance Solutions:A Practical Guide to Creating Responsive, Scalable Software, Addison Wesley, 2001.]]

Google Scholar

[13]

Sosnoski, Dennis M., "XML in Java: Document Models, part 1: Performance", http://www-106.ibm.com/developerworks/xml/library/x-injava/]]

Google Scholar

[14]

Stafford T., "E-Services". Comm. ACM, vol. 46, No. 6. June 2003.]]

Digital Library

Google Scholar

[15]

Woodside, C. M, Neilson, J. E., Petriu, D., Majumdar, S., "The Stochastic Rendezvous Network Model for Performance of Synchronous Client-Server-like Distributed Software", IEEE Transactions on Computers, Vol. 44, No. 1, pp. 20--34, January 1995.]]

Digital Library

Google Scholar

[16]

Object Management Group, "UML Profile for Schedulability, Performance, and Time Specification," OMG Adopted Specification ptc/02-03-02, July 1, 2002.]]

Google Scholar

Cited By

View all

Alhaj MPetriu DNg JCouturier CMüller HRyman A(2010)Approach for generating performance models from UML models of SOA systemsProceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research10.1145/1923947.1923975(268-282)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1145/1923947.1923975
Liu YZhu LBass LGorton IStaples M(2009)Non-Functional Property Driven Service GovernanceService-Oriented Computing - ICSOC 2007 Workshops10.1007/978-3-540-93851-4_6(45-55)Online publication date: 14-Jan-2009
https://dl.acm.org/doi/10.1007/978-3-540-93851-4_6
D'Ambrogio ABocciarelli PMajumdar SCortellessa VUchitel SYankelevich D(2007)A model-driven approach to describe and predict the performance of composite servicesProceedings of the 6th international workshop on Software and performance10.1145/1216993.1217008(78-89)Online publication date: 5-Feb-2007
https://dl.acm.org/doi/10.1145/1216993.1217008
Show More Cited By

Index Terms

Software Performance Engineering of a Web service-based Clinical Decision Support infrastructure

Recommendations

Software Performance Engineering of a Web service-based Clinical Decision Support infrastructure

This paper has two contributions: a) it proposes a web services-based infrastructure to support Clinical Decision Support Systems (CDSSs) for processing multi-domain medical data from the obstetrical, perinatal and neonatal care domains, and b) applies ...
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems

The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability of being integrated in Health Information Systems (HIS). Several proposals have been published up to date to permit CDSS gathering patient data from HIS. Some base ...
Physicians' responses to clinical decision support on an intensive care unit-Comparison of four different alerting methods

Background: In intensive care environments, technology is omnipresent whereby ensuring constant monitoring and the administration of critical drugs to unstable patients. A clinical decision support system (CDSS), with its widespread possibilities, can ...

Reviews

Reviewer: Guenter Haring

This paper proposes a Web services-based infrastructure to support clinical decision support systems (CDSS), applied to distributed medical domains within the hospital information system (HIS), to provide clinical support in high-risk medical environments. This work extends an Extensible Markup Language (XML)-based framework for medical data interoperability, and integration of CDSS into the neonatal intensive care unit (NICU), developed previously by the authors. The CDSS includes artificial neural networks (ANN), case-based reasoning (CBR) tools, and alert detection systems. These services will at first be accessed locally, and eventually from remote locations, via wireless communication by authenticated users. Since potential performance limitations in providing real-time CDSS output to physicians, using more and more handheld devices, contributes a limiting factor to the system’s successful implementation, a thorough investigation of those possible limitations prior to implementation is necessary. Therefore, software performance engineering (SPE) was applied from the early design stages of the proposed system, in order to ensure that the system would meet its performance requirements, and to identify possible solutions for relieving existing performance limitations of the prototype. In this paper, only a representative subset of the complete Web services infrastructure is modeled, involving one CDSS as a core Web service, and accessing the patient’s electronic patient record (EPR). In section 1, the authors briefly present the medical, as well as the performance perspective of the proposed systems. The next section reports on the system analysis, considering both functional and nonfunctional requirements. The application of SPE to the proposed systems is presented in section 3, which explains, in detail, the model parameter estimation and the sequence diagram, encompassing the entire functionality for Web service invocation. This diagram is annotated with performance information according to the unified modeling language (UML) profile for schedulability, performance, and time. The resource metrics and architectural design presented in the previous sections are used to build a layered queuing network (LQN) model in section 4, which is to be solved using the analytical solver, LQNS. The results of the performance analysis are presented in the last section, and include the base case results, an identification of software and hardware bottlenecks, and a report on the results obtained by introducing both threads and processors, to mitigate these bottlenecks. This section goes on to include a sensitivity analysis with regard to the Web service processing time, and the number of visits made to the disk by the database task. Altogether, this paper is a nice case study of applying SPE methods to an important application. Online Computing Reviews Service

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.

Comments

Information & Contributors

Information

Published In

WOSP '04: Proceedings of the 4th international workshop on Software and performance

January 2004

313 pages

ISBN:1581136730

DOI:10.1145/974044

General Chair:
Jozo Dujmović
San Francisco State University
,
Program Chairs:
Virgilio Almeida
Federal University of Minas Gerais
,
Doug Lea
State University of New York, Oswego

ACM SIGSOFT Software Engineering Notes Volume 29, Issue 1
January 2004
300 pages
ISSN:0163-5948
DOI:10.1145/974043
Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

WOSP04

Sponsor:

WOSP04: Fourth International Workshop on Software and Performance 2004

January 14 - 16, 2004

California, Redwood Shores

Acceptance Rates

WOSP '04 Paper Acceptance Rate 38 of 70 submissions, 54%;

Overall Acceptance Rate 149 of 241 submissions, 62%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
2,005
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Alhaj MPetriu DNg JCouturier CMüller HRyman A(2010)Approach for generating performance models from UML models of SOA systemsProceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research10.1145/1923947.1923975(268-282)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1145/1923947.1923975
Liu YZhu LBass LGorton IStaples M(2009)Non-Functional Property Driven Service GovernanceService-Oriented Computing - ICSOC 2007 Workshops10.1007/978-3-540-93851-4_6(45-55)Online publication date: 14-Jan-2009
https://dl.acm.org/doi/10.1007/978-3-540-93851-4_6
D'Ambrogio ABocciarelli PMajumdar SCortellessa VUchitel SYankelevich D(2007)A model-driven approach to describe and predict the performance of composite servicesProceedings of the 6th international workshop on Software and performance10.1145/1216993.1217008(78-89)Online publication date: 5-Feb-2007
https://dl.acm.org/doi/10.1145/1216993.1217008
Yuan XDuan SLiu ZChulani SBoehm BVerner JWong B(2006)Exploring robust component-based softwareProceedings of the 2006 international workshop on Software quality10.1145/1137702.1137717(75-80)Online publication date: 21-May-2006
https://dl.acm.org/doi/10.1145/1137702.1137717
Imre GCharaf HLengyel L(2013)Estimating the Cost of XML Serialization of Java ObjectsProceedings of the 2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems10.1109/ECBS-EERC.2013.13(33-40)Online publication date: 29-Aug-2013
https://dl.acm.org/doi/10.1109/ECBS-EERC.2013.13
Al-Qaysi IUnland RWeihs CBranki C(2010)Medical Optimal Decision Making under Uncertainty without Assuming Independence of SymptomsProceedings of the 2010 International Conference on Intelligent Networking and Collaborative Systems10.1109/INCOS.2010.34(238-243)Online publication date: 24-Nov-2010
https://dl.acm.org/doi/10.1109/INCOS.2010.34
Al-Qaysi IOthman ZUnland RWeihs CBranki C(2010)Holonic and optimal medical decision making under uncertainty2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)10.1109/IECBES.2010.5742247(295-299)Online publication date: Nov-2010
https://doi.org/10.1109/IECBES.2010.5742247
Esra AReiner UWeihs CBranki C(2010)Medical optimal decision making based holonic multi agent system2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)10.1109/ICCAE.2010.5451382(392-396)Online publication date: Feb-2010
https://doi.org/10.1109/ICCAE.2010.5451382
Al-Qaysi IUnland RWeihs CBranki C(2010)Medical Diagnosis Decision Support HMAS under Uncertainty HMDSuUAdvanced Computational Intelligence Paradigms in Healthcare 510.1007/978-3-642-16095-0_5(67-94)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16095-0_5
Ghezzi CTamburrelli G(2009)Predicting Performance Properties for Open Systems with KAMIProceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems10.1007/978-3-642-02351-4_5(70-85)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.1007/978-3-642-02351-4_5
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations