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In Data center network, with the rapid development of network applications, how to balance the network load has become the focus of everyone's attention. It is required to fully utilize the resources such as bandwidth to provide high bandwidth for various cloud computing service. In this paper, we propose a dynamic load balancing routing mechanism based on disturbance under SDN. The proposed scheme...
Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Internet technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the...
This present research work aims to maximize the performance of cloud systems while reducing the response time through dynamic load balancing algorithm in cloud computing environment. Cloud computing provides different information technology services as a commodity to its users. When it was introduced, business industries were using large-scale mainframes and they are increasing in numbers and sizes...
The load-balancing system, built on the basis of a subsystem load balancer and subsystem control and monitoring that closely interact with each other was propose in work. This system is presented as a queuing system with priority service discipline. In the described queuing system parallel processing flow applications occur in the multiple serving devices and successive junction of them into unified...
With the growth of the Cloud Computing paradigm, a new challenge appears in the development of data centers: energy efficient load balancing in a dynamic and scalable environment with an undefined number of heterogeneous resources. In this context, considering that idle servers consume up to 60% of peak energy and the fact that usually the level of usage for a server is 20–30%, new load balancing...
Distributed virtual simulation are prone to load oscillations, as well as load imbalances during run-time. Detecting such imbalances and responding accordingly using load redistribution can be of great utility in keeping execution performance close to the aimed optimal. A dynamic balancing scheme can introduce a reactive approach, but a predictive scheme can prevent imbalances before they occur. Several...
Load Balancing is essential for efficient operations indistributed environments. As Cloud Computing is growingrapidly and clients are demanding more services and betterresults, load balancing for the Cloud has become a veryinteresting and important research area. Many algorithms weresuggested to provide efficient mechanisms and algorithms forassigning the client's requests to available Cloud nodes...
Several approaches for fault-tolerance in distributed systems were introduced; however, they require prior knowledge of the environment's operating conditions and/or constant monitoring of these conditions at run time. That allows the applications to adjust the load and redistribute the tasks when failures occur. These techniques work well when there is no high communication delay. Yet, this is not...
With emerging demand for online surveillance and management, persistent and reliable connectivity to base stations (BSs) is indispensable so that network operators, which have access to all BSs, can collect measurements from all wireless terminals in the field, monitor their status and respond to critical incidents in real-time. However, disconnected networks make reliable BS connectivity problematic...
A distributed computing system uses the computational powers of the nodes on a network. Using a distributed approach a complex task can be divided into simpler tasks having less computational times. A serious difficulty in concurrent programming of a distributed environment is of node prioritization and load balancing. In this paper we present a novel technique for node prioritization & also propose...
One of the challenging issues in Computational Grid is performing Decentralized Load Balancing. This paper proposed a new load balancing algorithm which will appears in the meta-scheduler. In many approaches load balancing is done only at the local scheduler level, which is applicable to small application and leads to more communication overhead between the nodes. For the large scale application load...
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