Dynamic Workload Performance Optimization Model for Multiple-Tenancy in Cloud Systems
Cloud entails the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. With this concept its easy to reduce complexity for the clients as they dont have to handle installations and other things but just pay and to the provider a way to earn on a pay-as-use basis. Despite the concept being advantageous its faced with complexities on the basis of handling dynamic workloads for multiple tenant systems. In this paper we propose a many-to-many entity relationship to handle the complexities of architectural design for the above mentioned types of systems.
Keywords: Cloud, Cloud Computing, Cloud System, Workload Performance, Multiple-Tenancy
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ABOUT THE AUTHORS
Atwine Mugume Twinamatsiko
Limkokwing University of Creative Technology
Ali Naser Abdulhussein Abdulhussein
Limkokwing University of Creative Technology
Jugal Harshvadan Joshi
Limkokwing University of Creative Technology
Arash Habibi Lashkari
Limkokwing University of Creative Technology
Mohammad Sadeghi
Limkokwing University of Creative Technology
Atwine Mugume Twinamatsiko
Limkokwing University of Creative Technology
Ali Naser Abdulhussein Abdulhussein
Limkokwing University of Creative Technology
Jugal Harshvadan Joshi
Limkokwing University of Creative Technology
Arash Habibi Lashkari
Limkokwing University of Creative Technology
Mohammad Sadeghi
Limkokwing University of Creative Technology
