scholarly journals A Delay-Tolerant Data Congestion Avoidance Algorithm for Enterprise Cloud System Based on Modular Computing

2021 ◽  
Author(s):  
Kaiyin Yuan ◽  
Feng Wang ◽  
Zbigniew Marszalek
Keyword(s):  
Control Algorithm ◽  
Large Scale ◽  
Ant Colony Algorithm ◽  
Loss Rate ◽  
Congestion Avoidance ◽  
Cloud System ◽  
Large Delay ◽  
Congestion Control Algorithm ◽  
Delay Tolerant ◽  
Control Layer

AbstractTraditional large-scale enterprise cloud system has the problem of large delay. Therefore, a delay tolerant data congestion avoidance algorithm based on modular computing is designed. The resource allocation rules of rbfr strategy in traditional enterprise cloud are improved to change the traditional interactive overall mode and make it modular.Using modular thinking to construct the data congestion control algorithm, mainly in the control layer to achieve the model, through the introduction of ant colony algorithm in modularization, the design of delay tolerant data congestion avoidance algorithm is realized. In order to verify the algorithm’s congestion avoidance effect, comparative experiments are designed. Experimental results show that the packet loss rate of large enterprise cloud system under this algorithm is lower than that of traditional delay tolerant data congestion avoidance algorithm.

scholarly journals Artificial Intelligence Based Sensor Network Congestion Fuzzy Control Algorithm

2021 ◽  
Vol 2074 (1) ◽  
pp. 012030
Author(s):  
Jing Luo ◽  
Xiaoxu Xiao ◽  
Rongxia Wang
Keyword(s):  
Artificial Intelligence ◽  
Sensor Networks ◽  
Fuzzy Control ◽  
Sensor Network ◽  
Control Algorithm ◽  
Large Scale ◽  
Cluster Head ◽  
Residual Energy ◽  
Congestion Control Algorithm ◽  
Fuzzy Control Algorithm

Abstract The topology control of sensor sensor network was studied based on fuzzy control algorithm. Aiming at the dynamic changes of the topology of large-scale and heterogeneous artificial intelligence sensor networks and the incomplete information between nodes, a smart network-based congestion control algorithm for sensor networks was proposed and the performance of fuzzy control algorithms was analyzed. Based on this, a fuzzy control algorithm was designed. The algorithm fully considered the residual energy of nodes and the distribution of nodes in the network. Therefore, the reasonable election of the cluster head can be realized through the game between nodes, which effectively avoided energy holes, made the network energy consumption more uniform, prolonged the network life cycle, and optimized the network topology.

AN EFFECTIVE WAY TO CONTROL CONGESTION FOR RTI WITH HYBRID ARCHITECTURE

2013 ◽  
Vol 05 (01) ◽  
pp. 1340007
Author(s):  
XIAO BIN ◽  
SUN HONGBO ◽  
XIAO TIANYUAN
Keyword(s):  
Congestion Control ◽  
Queue Length ◽  
Queuing Theory ◽  
Control Algorithm ◽  
Large Scale ◽  
Hybrid Architecture ◽  
Control Approach ◽  
Congestion Control Algorithm ◽  
Data Explosion ◽  
Simulation Systems

Congestions brought by data explosion may suffer system performance or even cause fatal errors in large-scale simulation systems. This paper analyzes the reasons of generating congestion with queuing theory, and proposes a novel congestion control approach for RTI with hybrid architecture, including framework, sampling policy, queue length predicting, and congestion control algorithm. The framework promotes the usage of federate resources, and improves the performance of HLA simulation systems by dynamically distributing loads on RTIG and LRCs (Local RTI Components). At last, experimental results say that the proposed approach is a flexible, simple and efficient way to control congestion in RTI with hybrid architecture.

scholarly journals Development of an efficient mechanism for rapid protocols using NS-2 simulator

2018 ◽  
Vol 3 (1) ◽  
pp. 13-20
Author(s):  
Sarah N. Abdulwahid
Keyword(s):  
Congestion Control ◽  
High Speed ◽  
Control Algorithm ◽  
Transmission Control Protocol ◽  
Control Process ◽  
Congestion Avoidance ◽  
Network Simulator ◽  
Improvement Strategy ◽  
Slow Start ◽  
Congestion Control Algorithm

The delivered effort in this manuscript is grounded on NS-2 (The Network Simulator 2) to implement the congestion control process of classic TCP (Transmission Control Protocol), with new congestion control mechanism. In this paper, a novel congestion control algorithm is offered, which contains of slow-start and congestion avoidance mechanisms. The proposed slow-start algorithm assumes a duplicating and an interpolating approach to the congestion window (cwnd) for each increment instead of the exponential increment used by other TCP source variants such as Reno, Vega, Tahoe, Newreno, Fack, and Sack. Furthermore, the enhanced congestion avoidance algorithm is built by using an improved Additive Increase Multiplicative Decrease (AIMD) algorithm with multi TCP flow facility, to provide an enhanced congestion control algorithm with some valuable properties to improve TCP routine for high speed protocols. The improvement strategy based on merging of slow start, congestion avoidance mechanism that are used in TCP congestion control, to create a new AIMD algorithm with a new relationship between the pair parameters a and b. This paper is also involved in the creation of rapid agent in NS-2 models designed to identify the modified TCP and to configure the NS-2 platform. A fast TCP also includes an innovative scheme to slow the rapid start to help TCP to start faster through the high speed networks and also to postpone the congestion state as much as possible.

scholarly journals Development of an efficient mechanism for rapid protocols using NS-2 simulator

2020 ◽  
Vol 3 (1) ◽  
pp. 13-20
Author(s):  
Sarah N. Abdulwahid
Keyword(s):  
Congestion Control ◽  
High Speed ◽  
Control Algorithm ◽  
Transmission Control Protocol ◽  
Control Process ◽  
Congestion Avoidance ◽  
Network Simulator ◽  
Improvement Strategy ◽  
Slow Start ◽  
Congestion Control Algorithm

The delivered effort in this manuscript is grounded on NS-2 (The Network Simulator 2) to implement the congestion control process of classic TCP (Transmission Control Protocol), with new congestion control mechanism. In this paper, a novel congestion control algorithm is offered, which contains of slow-start and congestion avoidance mechanisms. The proposed slow-start algorithm assumes a duplicating and an interpolating approach to the congestion window (cwnd) for each increment instead of the exponential increment used by other TCP source variants such as Reno, Vega, Tahoe, Newreno, Fack, and Sack. Furthermore, the enhanced congestion avoidance algorithm is built by using an improved Additive Increase Multiplicative Decrease (AIMD) algorithm with multi TCP flow facility, to provide an enhanced congestion control algorithm with some valuable properties to improve TCP routine for high speed protocols. The improvement strategy based on merging of slow start, congestion avoidance mechanism that are used in TCP congestion control, to create a new AIMD algorithm with a new relationship between the pair parameters a and b. This paper is also involved in the creation of rapid agent in NS-2 models designed to identify the modified TCP and to configure the NS-2 platform. A fast TCP also includes an innovative scheme to slow the rapid start to help TCP to start faster through the high speed networks and also to postpone the congestion state as much as possible.

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