TY - GEN
T1 - Deadline-constraint services in cloud with heterogeneous servers
AU - Sahoo, Sampa
AU - Mishra, Sambit Kumar
AU - Sahoo, Bibhudatta
AU - Puthal, Deepak
AU - Obaidat, Mohammad S.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/12
Y1 - 2017/9/12
N2 - 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.
AB - 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.
KW - Blocking probability
KW - cloud
KW - deadline
KW - real-time
KW - response time
UR - http://www.scopus.com/inward/record.url?scp=85032451904&partnerID=8YFLogxK
U2 - 10.1109/CITS.2017.8035330
DO - 10.1109/CITS.2017.8035330
M3 - Conference contribution
AN - SCOPUS:85032451904
T3 - IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems
SP - 20
EP - 24
BT - IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems
A2 - Nicopolitidis, Petros
A2 - Obaidat, Mohammad S.
A2 - Hsiao, Kuei-Fang
A2 - Chen, Zhikui
A2 - Caballero, Daniel Cascado
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computer, Information and Telecommunication Systems, CITS 2017
Y2 - 21 July 2017 through 23 July 2017
ER -