Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Applications

Author(s):  
Patrick Ngai ◽  
Sung-Jer Lu ◽  
Yu-Sung Wu ◽  
Wei-Sheng Lim ◽  
Tung-Yueh Lin
2020 ◽  
Vol 17 (4A) ◽  
pp. 588-597
Author(s):  
Ala'eddin Masadeh ◽  
Haythem Bany Salameh ◽  
Ahmad Abu-El-Haija

This work investigates the problem of managing the transmission power and assigning channels for multi-channel single-radio Cognitive Radio Ad-Hoc Networks (CRAHNs). The considered network consists of M primary users and N secondary users, where the secondary users can use the licensed channels opportunistically when they are not utilized by the primary users. The secondary users have the capability of sensing the licensed channels and determine their occupation status. They are also able to control their transmission power such that the transmitted data can be received with high quality-of-service with the lowest possible transmission power, and minimum interference among the secondary users. This also contributes in increasing the frequency spatial reuse of the licensed channels by the secondary users, when the channels are unoccupied, which increases the network throughput. This work proposes a channel assignment algorithm aims at assigning the unoccupied licensed channels among secondary users efficiently, and a transmission power control aims at tuning the transmission power used by the secondary users to maximize the network throughput. The results show an enhancement achieved by the proposed protocol when it is integrated to the considered network, which is seen through increasing the network throughput and decreasing in the access delay. In this context, the Network Simulator 2 (NS2) was used to verify our proposed protocol, which indicates a significant enhancement in network performance


2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Chuanxin Zhao ◽  
Yonglong Luo ◽  
Fulong Chen ◽  
Ji Zhang ◽  
Ruchuan Wang

In order to improve network throughput and reduce energy consumption, we propose in this paper a cross-layer optimization design that is able to achieve multicast utility maximization and energy consumption minimization. The joint optimization of congestion control and power allocation is formulated to be a nonlinear nonconvex problem. Using dual decomposition, a distributed optimization algorithm is proposed to avoid the congestion by control flow rate at the source node and eliminate the bottleneck by allocating the power at the intermediate node. Simulation results show that the cross-layer algorithm can increase network performance, reduce the energy consumption of wireless nodes and prolong the network lifetime, while keeping network throughput basically unchanged.


2019 ◽  
Vol 214 ◽  
pp. 08006
Author(s):  
Marian Babik ◽  
Shawn McKee ◽  
Brian Paul Bockelman ◽  
Edgar Mauricio Fajardo Hernandez ◽  
Edoardo Martelli ◽  
...  

WLCG relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues, including connection failures, congestion and traffic routing. OSG Networking Area in partnership with WLCG has focused on collecting, storing and making available all the network related metrics for further analysis and discovery of issues that might impact network performance and operations. In order to help sites and experiments better understand and fix the networking issues, WLCG Network Throughput working group was formed, which works on the analysis and integration of the network-related monitoring data collected by the OSG/WLCG infrastructure and operates a support unit to help find and fix the network performance issues. This paper describes the current state of the OSG network measurement platform and summarises the activities taken by the working group, including updates on the higher level services that were recently developed, network performance incidents investigated as well as past and present analytical activities related to networking and their results.


Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 587
Author(s):  
Jin-Ki Kim ◽  
Won-Jae Lee ◽  
Jae-Hyun Kim

Full-duplex (FD) radios can transmit and receive packets simultaneously in the same frequency band. Although this potentially doubles the spectral efficiency, it also causes inter-node interference, which was not an issue for half-duplex (HD) radios and can significantly reduce FD radio throughput. This paper proposes a hybrid transmission switching algorithm to reduce performance degradation due to inter-node interference. In contrast to previous studies that only considered channel capacity, we determine the transmission mode by considering the modulation and coding scheme (MCS). The access point compares the required transmission time for HD, FD, and hybrid mode and selects the mode with the best network throughput. We also designed an analytical model to evaluate network throughput for the proposed algorithm. In particular, we consider FD pair probability, which has not been addressed previously. Analytical and simulation results verify that the proposed algorithm improves network performance.


2017 ◽  
Vol 28 (09) ◽  
pp. 1750117 ◽  
Author(s):  
Shi-Bao Li ◽  
Ya He ◽  
Jian-Hang Liu ◽  
Zhi-Gang Zhang ◽  
Jun-Wei Huang

The congestion control of traffic is one of the most important studies in complex networks. In the previous congestion algorithms, all the network traffic is assumed to have the same priority, and the privilege of traffic is ignored. In this paper, a privilege and common traffic congestion control routing strategy (PCR) based on the different priority of traffic is proposed, which can be devised to cope with the different traffic congestion situations. We introduce the concept of privilege traffic in traffic dynamics for the first time and construct a new traffic model which taking into account requirements with different priorities. Besides, a new factor [Formula: see text] is introduced by the theoretical derivation to characterize the interaction between different traffic routing selection, furthermore, [Formula: see text] is related to the network throughput. Since the joint optimization among different kinds of traffic is accomplished by PCR, the maximum value of [Formula: see text] can be significantly reduced and the network performance can be improved observably. The simulation results indicate that the network throughput with PCR has a better performance than the other strategies. Moreover, the network capacity is improved by 25% at least. Additionally, the network throughput is also influenced by privilege traffic number and traffic priority.


2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Junmei Yao ◽  
Jun Xu ◽  
Yue Ling Che ◽  
Kaishun Wu ◽  
Wei Lou

The wireless local area networks (WLANs) have been widely deployed with the rapid development of mobile devices and have further been brought into new applications with infrastructure mobility due to the growth of unmanned aerial vehicles (UAVs). However, the WLANs still face persistent challenge on increasing the network throughput to meet the customer’s requirement and fight against the node mobility. Interference is a well-known issue that would degrade the network performance due to the broadcast characteristics of the wireless signals. Moreover, with infrastructure mobility, the interference becomes the key obstacle in pursuing the channel capacity. Legacy interference management mechanism through the channel access control in the MAC layer design of the 802.11 standard has some well-known drawbacks, such as exposed and hidden terminal problems, inefficient rate adaptation, and retransmission schemes, making the efficient interference management an everlasting research topic over the years. Recently, interference management through exploiting physical layer mechanisms has attracted much research interest and has been proven to be a promising way to improve the network throughput, especially under the infrastructure mobility scenarios which provides more indicators for node dynamics. In this paper, we introduce a series of representative physical layer techniques and analyze how they are exploited for interference management to improve the network performance. We also provide some discussions about the research challenges and give potential future research topics in this area.


2013 ◽  
Vol 330 ◽  
pp. 1036-1040
Author(s):  
Zhao Ran He ◽  
Hai Bin Shi

Directional antenna has tremendous potential in improving the network capacity and anti-jamming compared with omni-directional antenna for ad hoc networks. In this article, a novel MAC protocol called TDPA based on TDMA was presented for ad hoc networks with directional antenna. It improved the spatial reuse by adaptively selecting interference-free angle according to communicating nodes positions, and increased the network throughput and broadcasting efficiency by piggyback retransmission technique. Analysis and simulation results showed that it can significantly improve network performance.


Device-to-device (D2D) communication is a concept that promises the overall performance enhancement by allowing direct communication between the devices which are in proximity. The idea of implementing in-band and out-band spectrums together in a D2D assisted mobile users will be relevant to the landscape of the 5G networks. Nevertheless, limited research works are available on efficient transmission of the data when both spectrums are used simultaneously. In this paper, we propose an efficient dynamic spectrum that utilize the licensed and unlicensed bands, based on the distance between the D2D link, in such a way that it selects the best band for establishing the D2D links in the network. The proposed algorithm is based on the distance between the D2D link, where it selects the most efficient band that reduces the interference of the D2D connection and maximizes the network throughput. The simulation results show that the proposed algorithm, using dynamic spectrum, achieves a higher network performance compared with other static spectrums.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
R. M. Bhavadharini ◽  
S. Karthik ◽  
N. Karthikeyan ◽  
Anand Paul

Internet of Things (IoT) network contains heterogeneous resource-constrained computing devices which has its unique reputation in IoT environments. In spite of its distinctiveness, the network performance deteriorates by the distributed contention of the nodes for the shared wireless medium in IoT. In IoT network, the Medium Access Control (MAC) layer contention impacts the level of congestion at the transport layer. Further, the increasing node contention at the MAC layer increases link layer frame drops resulting in timeouts at the transport layer segments and the performance of TCP degrades. In addition to that, the expiration of maximum retransmission attempts and the high contentions drive the MAC retransmissions and the associated overheads to reduce the link level throughput and the packet delivery ratio. In order to deal with aforementioned problems, the Adaptive Contention Window (ACW) is proposed, which aims to reduce the MAC overhead and retransmissions by determining active queue size at the contending nodes and the energy level of the nodes to improve TCP performance. Further, the MAC contention window is adjusted according to the node’s active queue size and the residual energy and TCP congestion window is dynamically adjusted based on the MAC contention window. Hence, by adjusting the MAC Adaptive Contention Window, the proposed model effectively distributes the access to medium and assures improved network throughput. Finally, the simulation study implemented through ns-2 is compared with an existing methodology such as Cross-Layer Congestion Control and dynamic window adaptation (CC-BADWA); the proposed model enhances the network throughput with the minimal collisions.


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