Deadline-constraint services in cloud with heterogeneous servers

Sahoo, S; Mishra, SK; Sahoo, B; Puthal, D; Obaidat, MS

Deadline-constraint services in cloud with heterogeneous servers

Sahoo, S Mishra, SK Sahoo, B Puthal, D

Obaidat, MS

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Publication Type:: Conference Proceeding
Citation:: IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems, 2017, pp. 20 - 24
Issue Date:: 2017-09-12

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Field	Value	Language
dc.contributor.author	Sahoo, S	en_US
dc.contributor.author	Mishra, SK	en_US
dc.contributor.author	Sahoo, B	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.contributor.author	Obaidat, MS	en_US
dc.date.issued	2017-09-12	en_US
dc.identifier.citation	IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems, 2017, pp. 20 - 24	en_US
dc.identifier.isbn	9781509059560	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126825
dc.description.abstract	© 2017 IEEE. The development of delay sensitive applications needs massive data storage and computing resources, especially in a typical cloud environment. The cloud computing paradigm provides a broad range of services viz. software, platform, and infrastructure for various applications (both real-time and non real-time) over the Internet. But, in the case of Infrastructure-as-a-Service (IaaS) cloud platform, either over provisioning or under-provisioning of resources becomes a challenging issue for time constraint applications. An accurate modeling of cloud centers is not feasible due to the nature of cloud centers and diversity of user requests. We present an analytical model to estimate the performance of the cloud center for deadline sensitive tasks. We used the model to find the number of task miss deadline, waiting time of a task, and response time of the service, among others.	en_US
dc.relation.ispartof	IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems	en_US
dc.relation.isbasedon	10.1109/CITS.2017.8035330	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Deadline-constraint services in cloud with heterogeneous servers	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. The development of delay sensitive applications needs massive data storage and computing resources, especially in a typical cloud environment. The cloud computing paradigm provides a broad range of services viz. software, platform, and infrastructure for various applications (both real-time and non real-time) over the Internet. But, in the case of Infrastructure-as-a-Service (IaaS) cloud platform, either over provisioning or under-provisioning of resources becomes a challenging issue for time constraint applications. An accurate modeling of cloud centers is not feasible due to the nature of cloud centers and diversity of user requests. We present an analytical model to estimate the performance of the cloud center for deadline sensitive tasks. We used the model to find the number of task miss deadline, waiting time of a task, and response time of the service, among others.

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http://hdl.handle.net/10453/126825