We also survey the recent research works which have employed machine learning solutions in cloud computing resource management. Existing cluster scheduling systems face many challenges, such as achieving a trad
of Cloud computing. Among these, the core of the solution is still the design of the scheduler on the basis of the scheduling algorithm. Figure1shows a resource management and task allocation process with a scheduler as the core. The users operate the clients to submit task requests to the ...
For optimization-based resource scheduling in the cloud computing environment, this work has considered derived factors that are listed below. The other sections in this research work are as: basics of a cloud computing environment and needs of resource scheduling in section II, existing methodologies...
Inflexible resources scheduled deployment in the cloud computing environment, resources cannot reasonably be unbalanced,load on demand and low resource utilization,presents a resource scheduling strategy based on efficiency optimization,experimental results show that the policies to improve System throughput and...
Resource scheduling (RS) for makespan optimization in a cloud computing (CC) environment is an important aspect of handling effective resources in the cloud. Makespan optimization defines the minimization of time required to complete a collection of tasks in a computational environment. In the context...
expertise in infrastructure management is crucial for delivering flawless subscription-based services and hosted data solutions. The book presents novel models for cloud resource management to improve operational efficiency through better virtual machine (VM) placements. Beginning with task scheduling and reso...
Finally a mended optimal scheduling algorithm has been designed. This method can optimize network resources and computing resources during static task assignment at the initial application and during dynamic assignment in the simulating process. By extending the cloud computing platform CloudSim to test ...
High energy consumption in data center has serious impacts on environment. Energy-efficient scheduling under Customer Satisfaction Level (CSL) constraint has become a key problem of cloud computing in data centers. In this paper, a CSL-driven and energy-efficient resource scheduling (CDEERS) framewor...
Cloud computing, as a new computing mode in recent years, has been pursued by many users who have computational requirements, and the service quality of cloud computing depends largely on the efficiency of resource scheduling. In this study, an improved particle swarm optimization (IPSO) algorithm...
In: Grid computing environments workshop, pp 1–10 Pande S et al (2010) Scheduling and management of data intensive application workflows in grid and cloud computing environment. University of Melbourne, Australia Google Scholar Liu K et al (2010) A compromised time-cost scheduling algorithm in...