Performance Analysis of IoT System using Sleep Server Technique
Manas Kumar Rath1, Prasanta Kumar Swain2, Jibendu Kumar Mantri3

1Prasanta Kumar Swain*, Department of Computer Application, North Orissa University, Baripada, India.
2Manas Kumar Rath, School of Computer Applications, KIIT University, Bhubaneswar, India.
3Jibendu Kumar Mantri, Department of Computer Application, North Orissa University, Baripada, India.
Manuscript received on January 18, 2020. | Revised Manuscript received on January 21, 2020. | Manuscript published on February 10, 2020. | PP: 1512-1516 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1668029420/2020©BEIESP | DOI: 10.35940/ijitee.D1668.029420
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Abstract: Modern day living is driven by wireless sensor networks (WSN) as a component of ubiquitous technology. Internet of things (IoT) is a backbone network which enables the sensors to communicate with each other and with machines attached to that network through internet. The growing applications of system automation impose to usesr to use IoT. However, performance prediction turns out to be a challenge to manage the computing resources in IoT due to dynamic need of the user applications. We have proposed a model based on queueing theory approach for performance analysis of multi-server based IoT enabled system. We have proposed a M/M/C/Sleep where the working server is in OFF state when there is no data packets to serve and switched to ON through set-up phase if there are some data request for service. The performance indices are derived for cost analysis in terms of power consumption. 
Keywords: IoT, Queueing Model M/M/C/Sleep, WSN.
Scope of the Article: High Performance computing