Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2845
Title: | RT-Push: A VM Fault Detector for Deadline-based Tasks in Cloud |
Authors: | Sahoo, Sampa Sahoo, Bibhudatta Turuk, Ashok Kumar |
Keywords: | RT-Push VM Fault Detector Tasks in Cloud Deadline-based applications |
Issue Date: | Nov-2017 |
Citation: | 3rd International Conference on Communication and Information Processing (ICCIP 2017), Tokyo, Japan, 24 - 26 November, 2017 |
Abstract: | Nowadays, 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. |
Description: | Copyright of this document belongs to proceedings publisher. |
URI: | http://hdl.handle.net/2080/2845 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2017_ICCIP_SSahoo_RT-Push.pdf | Conference Paper | 1.41 MB | Adobe PDF | View/Open |
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