Server less Stream Processing with Elastic Multi-M/M/s/K Queue System
Jagadheeswaran Kathirvel1, Elango Parasuraman2
1Jagadheeswaran Kathirvel*, Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, India.
2Elango Parasuraman, Assistant Professor, Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 936-942 | Volume-9 Issue-2, December, 2019. | Retrieval Number: A2053109119/2020©BEIESP | DOI: 10.35940/ijeat.A2053.129219
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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: The high throughput – low latency stream processing systems are required to be elastic enough to scale for varying load spike on-demand. However, in the current stream processing systems, the load shedding is observed which impacts the final accuracy. In order to get rid of this issue, the elasticity can be implemented in all kinds of resources involved in the stream processing systems. This paper focuses on providing the elastic scalability in queues and Server less functions for the event stream processing systems. First, we explain the need of elastic multi-queue with Server less function in detail for event stream processing, and then will propose an algorithm for elastic scalability of multi-M/M/s/K Queuing with Server less functions for the efficient stream processing. The experiment result shows that the system scales very well in short span of time with the help of our proposed algorithm. The increased availability in turn helps improving the high processing throughput in low latency.
Keywords: Event Stream Processing, Elastic Multi-M,M,s,K Queue, Server less.