Successful task scheduling is one of the priority actions to increase energy efficiency, commercial earnings, and customer satisfaction in cloud computing. On other hand, since processes are NP-hard problems, it difficult talk about an absolute solution, especially scenarios with large numbers. For this reason, metaheuristic algorithms frequently used solving these problems. This study focuses ...

To completely misuse the utilizations of cloud, different difficulties should be tended to where planning is one among them. Albeit catholic research has been done on Workflow Scheduling, there are not very many edges customized for Cloud environments. For some essential standards of Cloud, for example, flexibility and heterogeneity existing work neglect to meet ideal arrangement. Hence our wor...

Cloud computing is the emerging internet based technology which emphasizes commercial computing. Cloud is a platform providing dynamic pool resources and virtualization. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. To properly manage the resources of the service provider, load balancing is required for the jobs tha...

A major challenge facing cloud computing is virtual resource allocation with dynamic characteristics. Evaluation of a resource allocation strategy using a single aspect can no longer meet the real world demands. We resolve this issue from the perspectives of users and resource providers using a particle swarm algorithm for resource allocation. With this algorithm, we establish an allocation mod...

In current scenario cloud computing is most widely increasing platform for task execution. Lot of research is going on to cut down the cost and execution time. In this paper, we propose an efficient algorithm to have an effective and fast execution of task assigned by the user. We proposed an effective communication framework between broker and virtual machine for assigning the task and fetchin...

Workload modeling enables performance analysis and simulation of cloud resource management policies, which allows cloud providers to improve their systems’ Quality of Service (QoS) and researchers to evaluate new policies without deploying expensive large scale environments. However, workload modeling is challenging in the context of cloud computing due to the virtualization layer overhead, ins...

The problem of resources under the environment of cloud computing has always been the focus of research. In this paper, the Artificial Firefly Algorithm is studied, on the basis of which the chaos algorithm is introduced to improve the algorithm with regard to the problem of the subsequent search and optimization precision deficiency cause by the lack of initialization of firefly position in th...

Cloud computing is an on-demand computing model, which uses virtualization technology to provide cloud resources to users in the form of virtual machines through internet. Being an adaptable technology, cloud computing is an excellent alternative for organizations for forming their own private cloud. Since the resources are limited in these private clouds maximizing the utilization of resources...

This paper presents the performance evaluation of Quick UDP Internet Connections (QUIC), SCTP, TCP and TCP-Reno within Cloud and Cloudlet services. We first present the transport protocols and a comparison between Cloud and Cloudlet. Secondly, we assess the performance of QUIC compared to SPDY and TCP in terms of transport time decrease. Then, we present a simulation setting for energy aware us...