Effects Of Network Latency Research Articles

Evaluating the Impact of Network Latency on user Experience in Telecommunication Industries in Ghana

It is evident that the telecommunications industry in Accra, Ghana, has experienced significant growth, aligning with the influx in mobile devices and internet usage. However, the widespread issue of network latency tends to jeopardize and obstruct the overall user experience. This project focuses on assessing the impact of network latency on user experience in telecommunications industries in Accra, Ghana. The aim of this research was to investigate the causes and effects of network latency on user experience and also, evaluate strategies adopted by telecommunications industries to tackle network latency challenges to aid in the improvement of services in the telecommunications industries in Accra, Ghana. The study employs both qualitative and quantitative methods to conduct a survey where data on user experience and network latency statistics, alongside, interviews with industry experts were acquired. By employing descriptive and inferential statistics, including regression analysis, the study used textual analysis to gain insight from the industry experts. The expected outcome is a comprehensive report that will spotlight the underlying causes, examine the impacts and suggest remedial measures, resulting in implementable steps for enhancement in telecommunications industries. The significance of this project is found in making contribution to the intellectual resource surrounding network latency and its effects on user experience in telecommunications industries in Accra, Ghana. The findings impart understanding to telecommunications industries in Accra, Ghana, facilitating their ability to enhance overall network performance and user experience. In summary, the study pledges a beneficial influence on users, establishing an atmosphere where telecommunications industries in Accra, Ghana provide an ideal and satisfying experiences.

NETWORK LATENCY EFFECT ON USER PERFORMANCE IN COLLABORATIVE VIRTUAL ENVIRONMENT USING TASK DISTRIBUTION MODEL


 
 
 Collaborative Virtual Environments (CVEs) are used for training, education, tele- conferencing and assembly of synthetic objects. Network latency, loose coordination, no task distribution strategy and less awareness are the main factors that affect user performance in CVEs. The effect of network latency on user performance in CVE was analyzed. Visual and audio feedback was used for communication between the collaborators. Based on task distribution model, a simulated environment for collaborative assembly task was developed to conduct the experiments. The experiments were performed on different college students comprising of 20 virtual teams of 40 individuals using the latency from 0 to 5000 msec in LAN. The result showed that the user‟s performance was better in dynamic with audio with no latency, but whenever the lag was increased the task completion time increased than dynamic with textual based. At 1000 msec latency, the dynamic with audio and textual modality values were almost the same. Above 1000 msec of latency, the user performance in dynamic with textual was better as compared to dynamic with audio.
 
 

Predictive Queue-based Technique for Network Latency Optimization in Established TCP/IP Gigabit Ethernet Stations

TCP/IP inefficiencies, coupled with the effects of WLAN latency and loss of packets can adversely affect application performance. These defects increase the response time of applications and significantly degrade the bandwidth efficiency. This paper therefore seeks to address the effect of network latency on WLAN communication systems. It studies an existing IEEE 802.11 WLAN system to assert its performance and exploits important system parameters such as packet-length and response time to build an optimized model that tackles the optimization problem as a linear programming problem. Specifically, we minimize the system utilization capacity under some performance constraints, and simulate the model using the MATrix LABoratory programming tool-kit. Results obtained show that our model could reduce network latency, as well as provide optimum arrival rate adaptation.

Using Link Gradients to Predict the Impact of Network Latency on Multitier Applications

Managing geographically dispersed deployments of complex multitier applications involves dealing with the substantial effects of network latency. However, the effects of network latency on an application's end-to-end performance can be far from obvious, thus making it difficult to predict the true impact of infrastructure changes such as network upgrades or server relocation on the users of an application. In this paper, we propose a new metric to quantify this impact called the link gradient. We develop a novel noise-resistant, nonintrusive technique to measure the link gradients in running systems without requiring knowledge of the system structure by using a combination of run-time delay injection and spectral analysis. We evaluate the intrusiveness and accuracy of our approach using micro-benchmarks and a deployment of two benchmark multitier Web applications on PlanetLab. Using these results, we show that link gradients can be used to accurately predict the impact of network latency changes on the end-to-end responsiveness of individual application transactions, even in new application configurations and without requiring a dedicated test environment.

Effect of Network Latency on Interactive Musical Performance

We investigate the effects of different levels of delay (or latency) on the coordination, pace and timing regularity of musicians who are in remote locations—a situation encountered in an interactive network performance. Two pairs of musicians performed two Mozart duets while isolated visually and connected through microphones and headphones. Different levels of latency (0, 20, 40, 50, 80, 100, 120, 150, and 200 ms) were introduced into the performing environment (musicians heard themselves in real time and only the other part delayed); the musicians performed the duets under these conditions and rated their musicality and level of interactivity. Although the musicians chose different strategies to handle the latency, which resulted in different levels of success in maintaining coordination, pacing and regularity, both duets were strongly affected by latency at and above 100 ms. At these levels, the musicians rated the performances as neither musical nor interactive, and they reported that they played as individuals and listened less and less to one another.

Effect of network latency on load sharing in distributed systems

Distributed computing systems consist of computers interconnected by communications links. In such systems, Load sharing is an important technique used to improve system performance in which jobs are transferred from overloaded nodes to underloaded ones. However, due to the ubiquitous and inescapable presence of network latencies, various pitfalls arise which can adversely affect the beneficial effects of job transfer. In this paper, we present an investigation into the effect of network latency on load sharing. The notions of Transfer Pair, and Load-Sharing Window are rigorously defined. A general expression for the probability distribution function of the Load-Sharing Window is derived. A class of rules, called quantile rules, is introduced and their role in avoiding unproductive job redistribution in spite of network latency, as well as to make multiple job transfers, is explained. The general technique is applied to the specific case of a distributed computing system consisting of M/M/1 queues. For this case, an expression for the mean of the Load-Sharing Window is derived. Numerical computations are presented, and their significance discussed.