Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2845
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dc.contributor.authorSahoo, Sampa-
dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorTuruk, Ashok Kumar-
dc.date.accessioned2018-01-02T11:05:54Z-
dc.date.available2018-01-02T11:05:54Z-
dc.date.issued2017-11-
dc.identifier.citation3rd International Conference on Communication and Information Processing (ICCIP 2017), Tokyo, Japan, 24 - 26 November, 2017en_US
dc.identifier.urihttp://hdl.handle.net/2080/2845-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractNowadays, the cloud is becoming an important paradigm due to cost-efficiency, scalability, availability and high resource utilization. An increasing number of deadline-based (real-time) applications are moving to cloud for high availability and low latency. Applications like financial transactions, health-care system, scientific c work flows with their real-time nature, i.e., deadline bound, need provisioning of computing services, despite the presence of failure. So, cloud running deadline-based applications need a fault-tolerant framework that can assure availability and responsiveness. Fault can occur in any layer of cloud; physical, virtual, or application and can be handled by various fault management methods, which include fault avoidance, fault detection, and fault recovery. Here, our primary focus is on a Virtual Machine (VM) failure and its detection. We showed the VM behavior in normal working condition and with the failed state through state transition diagram. A timeout based VM fault detector RT-PUSH proposed for cloud running real-time applications. We used success ratio and execution drop rate as performance metrics to evaluate the effectiveness of the proposed fault detector.en_US
dc.subjectRT-Pushen_US
dc.subjectVM Fault Detectoren_US
dc.subjectTasks in Clouden_US
dc.subjectDeadline-based applicationsen_US
dc.titleRT-Push: A VM Fault Detector for Deadline-based Tasks in Clouden_US
dc.typeArticleen_US
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