NDLI: Prediction of System Critical Event in Virtualized Medical Applications

Content Provider	IEEE Xplore Digital Library
Author	Yuanyao Liu Zhengping Wu
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA (Yuanyao Liu; Zhengping Wu)
Abstract	Medical applications need reliable and secure computing environment. Traditional medical applications only serve local requests and they are deployed locally. Along with the development of remote medical assistants, the number of requests also increases. Medical applications have be moved to the Internet and become medical services that receive many types of requests. The cloud computing platform provides reliable computing environment for medical applications. Virtualization techniques also increase the availability of medical applications. However, the nature of cloud computing allows co-resident of multiple applications, the influence of other virtual machine will affects the reliability of medical applications. System critical event patterns reflect behaviors of systems. In order to avoid system critical events that affect reliability, resources, applications, and services can be scheduled around predicted failure and limit the impact. Virtual machines, which medical services are running on, produce hundreds of system events. These system events include normal level events and critical events. In order to increase the reliability of medical services, we propose a non-intrusive system critical event prediction framework that increases the reliability of medical service in cloud computing.
Starting Page	13
Ending Page	18
File Size	324283
Page Count	6
File Format	PDF
e-ISBN	9781479926534
DOI	10.1109/WAINA.2014.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Biomedical equipment Virtualizations Medical services Prediction algorithms Virtual machining Event Prediction Reliability Indexes Event Recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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