Non-preemptive chaotic cat swarm optimization scheme for task scheduling on cloud computing environment

Abstract

Cloud computing is a consumable technology of our time that allow sharing of resources (e.g. virtual machines, storage, bandwidth) to meet the exponential demand of cloud end-users [1−4]. Three service models associated with cloud computing environment include software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). The SaaS layer of cloud computing allows cloud customers to run applications remotely, where application delivery is carried out via the Internet and manage by a third-party vendor. The cloud customers often interact with SaaS layer to get their task submitted to the IaaS layer (e.g. datacenter) and later receives its processed results via the SaaS layer. *Author for correspondenceThe SaaS layer function with the support of PaaS layer, providing interactive mechanisms for both cloud customers and service providers [5] while PaaS allow cost-efficient development and deployment of applications [6,7]. On the other hand, the IaaS layer provides services for cloud customers in terms of infrastructure (e.g. virtual machine) as a service. The IaaS provide a pool of resources of varied types that can be leased by cloud customers according to their computing requirements.Currently, due to escalating number of end-users accessing the cloud services, providing efficient scheduling to meet their QoS expectations has become a greater concern. Although, high-level research has been conducted in unveiling the supremacy of metaheuristic techniques toward mitigating these concerns [8], however, the metaheuristics are attributed to global and local

An automated cloud security framework based on FCM in user-cloud environment

“…In today's era the services which have been accessible easily by cloud computing on demand with the ease of applicability and reduced cost [1−3]. It has been fulfilled based on the resource requirement and the systems conditions and applicability [4,5]. The ease of applicability and business performances makes this platform very suitable in current era [6−10].…”