Fault Tolerant Scheduling Methods in Cloud Based 5G Networks
Yashaswi R1, Naidila Sadashiv2

1Yashaswi R, Department of Information Science, Ramaiah Institute of Technology, Bangalore, India.
2Naidila Sadashiv, Department of Information Science, Ramaiah Institute of Technology, Bangalore, India..

Manuscript received on 02 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 August 2019 | PP: 619-623 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8955078919/2019©BEIESP | DOI: 10.35940/ijitee.I8955.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cloud computing is one of the emerging technology in the field of business and also in the research field. High performance and high efficiency for 5G systems can be provided by the cloud radio access networks(C-RAN). There is also requirement of higher efficiency and also for the low latency for the 5G mobile networks. Sometimes there is probability of entire system failure due to the fault in some part of the hardware or the software. Hence by developing some of the fault tolerant methods these kind of issues can be avoided. Fault tolerance methods can also increase the use of cloud based services. The main idea of fault tolerant scheduling methods is to involve redundancy , so that all the tasks can be performed even when the system fails. But this may cause overhead for the cloud service providers. Hence various scheduling algorithms can be used to overcome this problem. In this paper, the different kinds of fault tolerant scheduling algorithms are discussed. Hence the suitable methods can be used according to the requirement of the user. This should also lead to increase in the efficiency, performance of the tasks and avoid the system failure in case of minute faults in the system. 
Keywords: Fault tolerance, Redundancy, Cloud computing, Quality-of-service
Scope of the Article: Cloud computing