Strategy on Disaster Recovery Management based on Graph Theory Concepts
Jerlin Seles M1, U. Mary2
1Jerlin Seles M*, Department of Mathematics, Nirmala College for Women, Coimbatore (Tamil Nadu), India.
2Dr. U. Mary, Department of Mathematics, Nirmala College for Women, Coimbatore (Tamil Nadu), India.
Manuscript received on September 09, 2021. | Revised Manuscript received on September 16, 2021. | Manuscript published on September 30, 2021. | PP: 31-34 | Volume-10 Issue-4, November 2021. | Retrieval Number: 100.1/ijrte.D65351110421 | DOI: 10.35940/ijrte.D6535.1110421
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© The Authors. Published By: 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 COVID-19 pandemic has asserted major baseline facts from disaster anthropology during the last three decades. Resilience could be based on the solution to the question: “What is the maximum amount of destruction, if any, that the graph (a network) can sustain while ensuring that at least one of each technology type remains and that the remaining induced subgraph is properly colored?” The concept of a graph’s Chromatic Core Subgraph is a solution to the stated problem. In this paper, the pandemic graphs and certain sequential graphs are developed. For these graphs, the Chromatic core subgraph is obtained. The results of the pandemic graphs’ Chromatic core subgraph are used to develop a disaster recovery strategy for the COVID-19 pandemic.
Keywords: COVID-19, Directed graphs, Disaster Recovery Plan, Jaco-type graph, Pandemic.