The nature of the scientific applications that need to be distributed exascale systems is in a way that both traditional and distributed exascale systems programs are required. As a result, the load balancer not only ...
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The nature of the scientific applications that need to be distributed exascale systems is in a way that both traditional and distributed exascale systems programs are required. As a result, the load balancer not only supports traditional mechanisms of the load balancer, but also these mechanisms should be empowered to support the states caused by the occurrence of events with a dynamic and interactive nature. In this paper, a mathematical model examines the traditional load balancer that is used in cluster and grid computing systems that should support which characteristics to manage the dynamic and interactive nature in processes and execution in distributed exascale computing systems. In cluster and grid systems that can support the specified characteristics in this article, in 60% of the cases, the load balancer can manage events with a dynamic and interactive nature and use the mathematical model as the loadbalancing mechanism.
Cloud computing delivers the services of cloud efficiently and effectively on pay-per usage basis to consumers. As the number of consumers and requests for the services are increasing day by day in cloud computing nee...
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ISBN:
(纸本)9789811322853;9789811322846
Cloud computing delivers the services of cloud efficiently and effectively on pay-per usage basis to consumers. As the number of consumers and requests for the services are increasing day by day in cloud computing need of loadbalancing occurs. For efficient and effective management and usage of cloud service provider's resources, already many load balancing algorithms have been proposed. In this paper comparative analysis of existing algorithms has been performed using simulator, i.e., Cloud Analyst. Cloud Analyst is a GUI-based toolkit that performs testing and simulation. In this paper existing Throttled, Round Robin, ESCE, FCFS, and SJF are compared. Cloud Analyst simulation results shows significant outcomes in terms of data center processing time, total cost, and response time in cloud computing environment.
This paper discusses the Cloudanalyst tool. Cloudanalyst tool is used to determine the better loadbalancing algorithm from various scheduling and loadbalancing techniques e.g. round robin algorithm. This learning wi...
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This paper discusses the Cloudanalyst tool. Cloudanalyst tool is used to determine the better loadbalancing algorithm from various scheduling and loadbalancing techniques e.g. round robin algorithm. This learning will help valued understanding to design infrastructure services of the Cloud. Different areas like coordination between one data center and other data center, algorithms of loadbalancing as well as other value-added services are also kept in mind, that are possible like service broker policies, which synchronize efficiently among data centers and enhance cost and throughput which is given to the owners.
This research paper conducts a thorough and comparative analysis of various load balancing algorithms in cloud computing environments, aiming to provide valuable insights for cloud administrators and architects in the...
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Cloud computing has revolutionized the way modern applications and services are delivered, offering scalability, flexibility, and cost-efficiency. A key challenge in maximizing the benefits of cloud environments is th...
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Purpose-Current industrial scenario is largely dependent on cloud computing ***-demand services provided by cloud data centre are paid as per ***,it is very important to make use of the allocated resources to the *** ...
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Purpose-Current industrial scenario is largely dependent on cloud computing ***-demand services provided by cloud data centre are paid as per ***,it is very important to make use of the allocated resources to the *** resource utilization is highly dependent on the allocation of resources to the incoming *** allocation of requests is done with respect to the physical machines present in the *** allocating the tasks to these physical machines,it needs to be allocated in such a way that no physical machine is underutilized or over *** make sure of this,optimal loadbalancing is very ***/methodology/approach-The paper proposes an algorithm which makes use of the fitness functions and duopoly game theory to allocate the tasks to the physical machines which can handle the resource requirement of the incoming *** major focus of the proposed work is to optimize the loadbalancing in a *** optimization happens,none of the physical machine is neither overloaded nor under-utilized,hence resulting in efficient utilization of the ***-The performance of the proposed algorithm is compared with different existing load balancing algorithms such as round-robin load(RR)ant colony optimization(ACO),artificial bee colony(ABC)with respect to the selected parameters response time,virtual machine migrations,host shut down and energy *** the four parameters gave a positive result when the algorithm is ***/value-The contribution of this paper is towards the domain of cloud load *** paper is proposing a novel approach to optimize the cloud loadbalancing *** results obtained show that response time,virtual machine migrations,host shut down and energy consumption are reduced in comparison to few of the existing algorithms selected for the *** proposed algorithm based on the duopoly function and fitness function brings in an optimized performance
LoRaWAN Enabled networks are expected to have a dizzying growth. Thus, an efficient allocation of wireless resources so as to support a large number of nodes is a major concern. In this paper we propose an SF assignme...
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ISBN:
(纸本)9781728171586
LoRaWAN Enabled networks are expected to have a dizzying growth. Thus, an efficient allocation of wireless resources so as to support a large number of nodes is a major concern. In this paper we propose an SF assignment approach paying attention on the traffic load both per Spreading Factor and over the channels. Indeed, our strategy consists in finding a better distribution of the nodes on the SF by orchestrating an effective loadbalancing. Moreover, the performance of our solution is evaluated under diverse network configurations taking into account the capture effect and the non-orthogonality of SFs. In addition, we validated some assumptions by full-scale experiments like for the 3GPP path loss model which is used for the first time in LoRa simulations. Our results suggest that load Shifting leads to better performance in terms of DER (Date Extraction Rate) while guaranteeing good scalability on the network size and density.
The underlying sequential behavior of the multiresolution (MR) method has been exploited for parallel computing by introducing a concept of multiresolution forest structures (MFS) along with two new load-balancing alg...
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The underlying sequential behavior of the multiresolution (MR) method has been exploited for parallel computing by introducing a concept of multiresolution forest structures (MFS) along with two new load-balancingalgorithms. Another easy-to-implement multithreading approach has also been introduced for the multicore architectures. Tests were conducted using an Euler solver based on a fifth-order shock capturing WENO scheme and a third-order Runge-Kutta algorithm. The methods have been rigorously analyzed in terms of speedup ratio and parallel efficiency to bring forth their benefits as well as limitations. The performance yielded through these methods indicates that the MFS is a new headway for the MR method in parallel computing that has a potential to harness better scalability. (C) 2018 Elsevier Inc. All rights reserved.
Nowadays, high-end Systems consist of thousands of individual devices which are in general heterogeneous. Grid computing environments are an example of high-end systems which are composed of many diverse and heterogen...
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Nowadays, high-end Systems consist of thousands of individual devices which are in general heterogeneous. Grid computing environments are an example of high-end systems which are composed of many diverse and heterogeneous resources distributed within multiple geographical areas. The performance of such systems depends considerably on job scheduling and resource allocation algorithms. Indeed, to improve the global throughput of these environments, effective and efficient load balancing algorithms are fundamentally important. In this paper, we propose a completely distributed formal model for the description of grid architecture. Our model, is then parameterized to describe different job-scheduling algorithms in a completely parallel architecture. In particular, we focus on the modeling and description of distributed load-balancingalgorithms. To reach this purpose, we define a set of parallel schedulers communicating together to achieve a given load-balancing policy. To show the applicability of our approach, we propose to specify and compare different well-known job-scheduling policies in grid environments. The formal verification of different properties of the studied protocols has been performed automatically using Model-checking and a set of performance analysis results are also provided. (C) 2019 Elsevier Inc. All rights reserved.
The idea of cloud computing is flourished on a basic principle of reusability of IT capabilities. It is completely a web-based technology, which enhances its usefulness as well as monitors PAYG model. Cloud computing ...
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The idea of cloud computing is flourished on a basic principle of reusability of IT capabilities. It is completely a web-based technology, which enhances its usefulness as well as monitors PAYG model. Cloud computing follows the technology, services, applications that are analogous to those on the internet and shifts them into a self-service utility. Cloud computing synopsis the details of system implementation from developers and users. In cloud computing, loadbalancing is a ticklish topic. It is a procedure that utilizes several nodes and allocates dynamic workload among them. The original purpose of loadbalancing is the minimization of overall response time and best use of resources. This paper is largely concentrated on the DLB3M (Dynamic loadbalancing Max-Min and Max) algorithms. This reduces the overall response time compared to other load balancing algorithms. This paper describes briefly the DLB3M algorithm and why it is best suited in the cloud computing environment.
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