A New Era to improve the QOS on Cloud using hybrid approach

A Neoteric Optimization Methodology for Cloud Networks

“…by using metaheuristic algorithm called Genetic Algorithm. GA is a type of approximation algorithm which can be used to solve optimization combinatorial problems by its global optimization property and the capability of searching multiple regions [2]. Hence, GA will be utilized in the problem of QOS based cloud performance optimization.…”

“…P. Kaur et al (2016) proposed a hybrid genetic algorithm approach with different population size on cloud environment and made a comparison of this proposed algorithm with the traditional Genetic Algorithm. The results of the comparison show that the new proposed algorithm is much better than the traditional one in terms of performance, availability, flexibility etc.…”

“…The results of the comparison show that the new proposed algorithm is much better than the traditional one in terms of performance, availability, flexibility etc. Thus, the paper proposed a new way to improve QOS using a hybrid approach in a large scale computational environment of cloud [2]. K. Alhamzani et al (2015) proposed and validated CLAMBS-Cross-layer Multi Cloud Application Monitoring and Benchmarking asa-Service for efficient.…”

“…The peculiarity of Cloud Computing is attributable to its unique pay as you go model. Cloud computing is basically a type of internet based computing where services including delivery of software, infrastructure, and storage over the Internet are provided in an ondemand fashion and one has to pay as per his/her usage only [2]. The on-demand service provision model in Cloud computing necessitates the use of well-established Service Level Agreements (SLAs) representing a contract signed between the customer and the service provider including non-functional requirements of the service specified as Quality of Service (QOS).…”