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Task scheduling is ones of the most important issues in cloud computing environment, which directly affects the overall performance of the cloud platform. QoS-aware Task scheduling in cloud computing is NP-hard problem. There is no efficient method to solve it, and most of current task scheduling algorithms bias total task completion time than single task completion time. This paper proposes a template-based...
Cloud computing is a sophisticated technology which provides services to the end users within a fraction of time based on a pay-as-you-go model. However, energy consumption is one of the important concerns in cloud environment as large amount of energy is wasted by the data centers, hosting cloud applications and the carbon dioxide gas is released into the atmosphere polluting the environment. So...
Cloud computing resources scheduling is significant for executing the workflows in cloud platform because it relates to both the execution time and execution cost. In order to take both the time and cost into consideration, Rodriguez and Buyya have proposed a cost-minimization and deadline-constrained workflow scheduling model on cloud computing. Their model has great applicability but the solution...
Cloud computing is a promising cost efficient service oriented computing platform in the fields of science, engineering, business and social networking for delivering the resources on demand. Big Data Clouds is a new generation data analytics platform using Cloud computing as a back end technologies, for information mining, knowledge discovery and decision making based on statistical and empirical...
Scheduling enables the cloud in balancing the large amount of load present in the system for faster computation. It plays a vital and significant part in the execution of the load in the various heterogeneous systems. The scheduling portrays a selection of resources for the tasks for better resource utilization. This paper differentiates the various load scheduling algorithms applied in the various...
An efficient approach to task scheduling algorithm remains a long-standing challenge in cloud computing. In spite of the various scheduling algorithms proposed for cloud environment, those are mostly improvements based on one algorithm. And it's easy to overlook limitations of the algorithm itself. Aiming at characteristics of task scheduling in cloud environment, this paper proposes a task scheduling...
Cloud computing is a provider of dynamic services which offers readily elastic on demand computing resources as per the customer's request in economical way. As there are a lot of requests fabricated by cloud users which are processed by the accessible resources, there exists a need for better and effective scheduling mechanism for efficient allocation of resources. In this paper, a genetic algorithm...
Cloud computing is the upcoming technology in current day scenario. It has emerged as a solution for providing resources to the consumers in the form of software, infrastructure or platform as a service. Cloud Service Storage enables users to synchronize their files across devices and also allows them to backup online. The main aim of this paper is to provide service optimization. Scheduling of services...
In cloud computing the allocation and scheduling of multiple virtual resources, such as virtual machines (VMs), are still a challenge. The optimization of these processes bring the advantage of improving the energy savings and load balancing in large data centers. Resource allocation and scheduling also impact in federated clouds where resources can be leased from partner domains. This paper proposes...
Based on the deep research on Infrastructure as a Service (IaaS) cloud systems of open-source, we propose an optimized scheduling algorithm to achieve the optimization or sub-optimization for cloud scheduling problems. In this paper, we investigate the possibility to allocate the Virtual Machines (VMs) in a flexible way to permit the maximum usage of physical resources. We use an Improved Genetic...
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