Analysis of the Arrival Geo/G/1queue with Geometric Distributed Multiple
Ompal Singh1, Kapil Kumar Bansal2, Satish Kumar3, Sohan Tyagi4, Rudraman5
1Ompal Singh*, SRM Institute of Science and Technology, Modinagar.
2Kapil Kumar Bansal, SRM Institute of Science and Technology, Modinagar.
3Satish Kumar, SRM Institute of Science and Technology, Modinagar.
4Sohan Tyagi, SRM Institute of Science and Technology, Modinagar.
5Rudraman, Department of Applied Science , FET GKV Haridwar.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 29, 2020. | Manuscript published on April 10, 2020. | PP: 1228-2031 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3068049620/2020©BEIESP | DOI: 10.35940/ijitee.E3068.049620
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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 paper represents a batch appearance Geo/G/1 queuing structure with Geometric distribution numerous working arrival model is analysis. The organization distribution is inferred by utilizing the Markov chain process, different execution measures including expected organization size are determined. The distribution of the system states observed that such specific points is in reality indistinguishable with the distribution of the system states noticed at an capricious point on the continuous time domain. This is because an capricious point on the continuous time space falls somewhere in the halfway of a slot with probability 1. The organization state noticed at such a point is equivalent to that noticed immediately after the preceding slot boundary.
Keywords: Time Averages, Transmission line, Signals, Network, Transportation, System States.
Scope of the Article: Wireless Power Transmission