HIGH PRODUCTION OF JAVA SOCKETS (HPJS) FOR HELTH CLOUDS IN SCIENCE

Authors

  • Vasyl Melnyk Lutsk National Technical University
  • Oksana Zhyharevych Lutsk National Technical University
  • Kateryna Melnyk Lutsk National Technical University

DOI:

https://doi.org/10.18372/2306-1472.64.9041

Keywords:

cloud platform, decision systems of support, distribution data, high-performance Java sockets, health-care

Abstract

Computer clouds are using in health science for its data collections, manipulations and providing security needs in communications to exchange. The clouds distribution data character is using in science applications created to evaluate the data of the health-care. The science programs like medical visualization, genetic and protein conclusions, map-drag therapy and clinical decisions systems of support (CDSS) require high performance messaging libraries with minimum computer and communication spends and the effective utilization of the resources. The highperformance Java sockets (HPJS) encapsulate the needs of message high communications between cloud platforms science applications. HPJS effectively uses the Java socket realization for high-performance inner-process communications. With single-copy protocol, re-usability of the thread and communication overhead reduction, HPJS can use the message exchange in two times quickly to conventional buffered communication libraries.

Author Biographies

Vasyl Melnyk, Lutsk National Technical University

Melnyk Vasyl. PhD in physics and mathematics. Assistant professor.
Computer Engineering Department, Lutsk National Technical University, Lutsk, Ukraine.
Education: Prekarpatian Stephanyk University, Ivano-Frankivsk, Ukraine (1995).
Research area: computing, programming and sockets.

Oksana Zhyharevych, Lutsk National Technical University

Zhyharevych Oksana. Assistant Professor.
Computer Engineering Department, Lutsk National Technical University, Lutsk, Ukraine.
Education: Lutsk Biotechnical Institute of International Science and Technology, Lutsk, Ukraine.
Research area: computer programming, simulation-based semantics.

Kateryna Melnyk, Lutsk National Technical University

Melnyk Kateryna. PhD in technique. Assistant Professor,
Computer Engineering Department, Lutsk National Technical University, Lutsk, Ukraine.
Education: Lesya Ukrainka Eastern European National University, Lutsk, Ukraine (1998).
Research area: computational intelligence systems.

References

Armbrust M., Fox A., Griffith R., Joseph A. D., Katz R., Konwinski A., Lee G., Patterson D., Rabkin A., Stoica I., Zaharia M. View of Cloud Computing. Communications of the ACM, 53(4), pg. 53-58, 2008.

Rolim, C.O., Koch F.L., Westphall C.B., Werner J., Fracalossi A., Salvador G.S. A Cloud Computing Solution for Patient’s Data Collection in Health Care Institutions. eHealth, Telemedicine, and

Social Medicine, ETELEMED, 2010.

Fan L., Buchanan W., Thummler C., Lo O., Khedim A., Uthmani O., Lawson A., Bell D. DACAR Platform for eHealth Services Cloud. IEEE Cloud Computing (CLOUD), 2011.

Wooten R., Klink R., Sinek F., Yan B., Sharma M. Design and Implementation of a Secure Healthcare Social Cloud System. IEEE / ACM International Symposium on Cluster, Cloud and Grid

Computing (CCGrid), 2012.

High-Performance Computing Applications. http://www.altera.com/endmarkets/computerstorage/computer/hpc/applications/cmpapplications.html.

Microsoft offers HPC on Azure. http://www.itworld.com/virtualization/128231/microsoft-offershpc-azure.

High Performance Computing (HPC) on AWS. http: //aws.amazon.com/hpc-applications.

Milojii Dejan Llorente Ignacio M., Montero Ruben S. OpenNebula: A Cloud Management Tool. IEEE Internet Computing, March-April 2011.

OpenNebula. http://opennebula.org.

TIOBE Programming Community Index for July 2012. http: //www.tiobe.com/index.php/content/paperinfo/tpci/index.html.

Fedyukin I.V., Reviakin Y.G., Orlov O.I., Doarn C.R., Harnett B.M., Merrell R.C. Experience in the application of Java Technologies in telemedicine. eHealth International. 2002.

Drishti: Volume Exploration and Presentation Tool. http://sf.anu.edu.au/Vizlab/drishti.

The Spatiotemporal Epidemiological Modeler (STEM) Project. http://www.eclipse.org/stem.

Iram Fatima, Muhammad Fahim, Donghai Guan, Young-Koo Lee, Sungyoung Lee. Socially Interactive CDSS for u-Life Care. The 5-th ACM International Conference on Ubiquitous Information

Management and Communication (ACM ICUIMC 2011), Seoul, Korea, February 21-23, 2011.

Snir Marc, Otto Steve W., Walker David W., Dongarra Jack, Huss-Lederman Steven. MPI: The Complete Reference. 0262691841, MIT Press, Cambridge MA, USA, 1995.

Windows Azure SDK for Java. http://www.windowsazure.com/enus/develop/java.

AWS SDK for Java. http://aws.amazon.com/ sdkforjava.

App Engine Java Overview. https://developers.google.com/appengine/docs/java/overview.

MpiJava 1.2: API Specification. http://www.open-mpi.org/papers/mpijava-spec.

Asad Masood Khattak, Phan Tran Ho Truc, Le Xuan Hung, La The Vinh, Viet-Hung Dang, Donghai Guan, Zeeshan Pervez, Manhyung Han, Sungyoung Lee, Young-Koo Lee. Towards Smart

Homes Using Low Level Sensory Data. Journal of Sensors, 2011.

Baker M., Carpenter B., Shafi A. MPJ Express: Towards Thread Safe Java HPC. IEEE International Conference on Cluster Computing, 2006.

Guillermo L. Taboada, Juan Tourio, Ramn Doallo. Java Fast Sockets: Enabling high-speed Java communications on high performance clusters. Computer Communications 2008.

Apache Mina Framework. http://mina.apache.org.

Published

29-09-2015

How to Cite

Melnyk, V., Zhyharevych, O., & Melnyk, K. (2015). HIGH PRODUCTION OF JAVA SOCKETS (HPJS) FOR HELTH CLOUDS IN SCIENCE. Proceedings of National Aviation University, 64(3), 120–125. https://doi.org/10.18372/2306-1472.64.9041

Issue

Section

INFORMATION TECHNOLOGY