Adaptive cloud orchestration resource selection using rough set theory

Manikandan R.; Maurya R.K.; Rasheed T.; Bose S.S.C.; Arias-Gonzáles J.L.; Mamodiya U.; Tiwari A. · Journal of Interdisciplinary Mathematics (2023) · DOI: 10.47974/jim-1662

Resumen

The recent research is developing in a vast speed to develop the cloud orchestration system. In cloud system the remotely managed servers are storing, finding, removing, replacing and retrieving the various services in an adaptive optimized manner. The lot of services are provided by the vast number of providers in the market with the help of approximation theory by the rough set system (RST). RST finds in helping in getting the efficient cloud resources as a service to the users. The proposed OCRS (Optimized Cost Resource System) approach is being simulated and compared with the existing cloud simulator. The simulator gives the approximate results in many parameters of cloud services. In all aspects our algorithm is performing better.

Instituciones: Pontificia Universidad Católica del Perú