Fault-Aware Load-Balancing Routing for 2D-Mesh and Torus On-Chip Network Topologies

Ren, Pengju; Kinsy, Michel A.; Zheng, Nanning

doi:10.1109/tc.2015.2439276

Cited by 19 publications

(5 citation statements)

References 56 publications

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“…The basic idea of cloud computing is that, in a distributed computing environment, each user can freely find the services he/she needs in this system quickly [ 9 ]. How to improve the average service response rate of the system has become a crucial issue in cloud computing [ 10 ]. The results of the cloud computing system are shown in Figure 1 .…”

Section: Cloud Computing Load Balancing Methodsmentioning

confidence: 99%

Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm

2022

Computational Intelligence and Neuroscience

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The networking scale and traffic have exploded. At the same time, the rapid development of virtualization and cloud computing technologies not only poses a considerable challenge to the endurance of the network, but also causes more and more problems to the traditional network architecture with IP as the core. Cloud computing is a supercomputing model based on the Internet. With the rapid growth of network access and data traffic, the processing power and computing intensity will also increase, and a single server cannot afford the increase in business. In order to reduce network pressure and improve computing efficiency, load balancing for network computing is particularly important. This paper uses ant colony algorithm to design cloud computing load balance. The ant colony algorithm runs in the controller. According to the real-time network load situation provided by the controller, it calculates the link with the smallest load and provides a dynamic data stream forwarding strategy. The result of the experiments shows that the load-balanced ACO optimized technique can significantly provide an improved computational response. In the ACO algorithm, the average response time is about 30% lower than that in other algorithms. This shows that the use of the ant colony algorithm achieves a good optimization effect.

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Section: Cloud Computing Load Balancing Methodsmentioning

confidence: 99%

Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm

2022

Computational Intelligence and Neuroscience

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“…2D-Mesh and Torus On-Chip Network Topologies (OCN) were introduced in (Ren et al, 2016). This research work proposed the traffic balancing obvious routing (TBOR) algorithm.…”

Section: Two Dimensional (2d) Meshmentioning

confidence: 99%

State-of-art review of information diffusion models and their impact on social network vulnerabilities

Razaque

Rizvi

Khan

et al. 2022

Journal of King Saud University - Computer and Information Scie

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a b s t r a c tWith the development of information society and network technology, people increasingly depend on information found on the Internet. At the same time, the models of information diffusion on the Internet are changing as well. However, these models experience the problem due to the fast development of network technologies. There is no thorough research in regards to the latest models and their applications and advantages. As a result, it is essential to have a comprehensive study of information diffusion models.The primary goal of this research is to provide a comparative study on the existing models such as the Ising model, Sznajd model, SIR model, SICR model, Game theory and social networking services models. We discuss several of their applications with the existing limitations and further categorizations. Vulnerabilities and privacy challenges of information diffusion models are extensively explored. Furthermore, categorization including strengths and weaknesses are discussed. Finally, limitations and recommendations are suggested with diverse solutions for the improvement of the information diffusion models and envisioned future research directions.

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“…As technology improves and scales down to the nano-scale integration of billions of transistors into a single chip has become more common. In [19], Traffic Balancing Oblivious Routing (TBOR) was designed to reduce the average delay during routing. However, with sparse network, average delay increases proportionately.…”

Section: Related Workmentioning

confidence: 99%

Application of IPF to Achieve CSR Routing in Adhoc Networks

Vignesh¹

2020

AJCST

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Wireless sensor network (WSN) comprises of sensor nodes that requires resource optimized routing techniques for efficient data collection. Since data collection consumes more energy, it is of great importance to design resource optimized routing to achieve both resource and routing efficiency together. In this work, a resource optimized routing method called Channel State Responsive Routing protocol using Intensity Probable Field (CSRR-IPF) is proposed. CSRR-IPF minimizes energy consumption and prolong network lifetime using Intensity Probable Field based on channel state. The goal of this Intensity Probable Field is to make efficient data collection at the sink node at the same time to achieve efficient routing among neighbors. The Intensity Probable Resource Optimized model limits the node movements by maximizing the minimum energy cost so that the energy of nodes in the entire network is balanced and therefore prolonging the network lifetime. With the Intensity Probable Resource Optimized model, Channel State Responsive Routing Protocol is designed that aggregates the collected data improving the routing efficiency. The performance of the proposed CSRR-IPF is evaluated in the context of energy consumption, network lifetime and routing time with respect to per node density and per data packet basis. The research results are analyzed and benchmarked against the state-of-the-art methods. Simulation results show that the algorithm show a significant improvement and extends the network lifetime, has good performance on energy balance of sensors, and prolongs the network lifetime compared with similar algorithms.

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Fault-Aware Load-Balancing Routing for 2D-Mesh and Torus On-Chip Network Topologies

Cited by 19 publications

References 56 publications

Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm

Cloud Computing Load Balancing Mechanism Taking into Account Load Balancing Ant Colony Optimization Algorithm

State-of-art review of information diffusion models and their impact on social network vulnerabilities

Application of IPF to Achieve CSR Routing in Adhoc Networks

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