QOS

Quality of Service is a mechanism that work on a network to gauge traffic levels with the aim of reducing latency, jitter, error rate and packet loss by prioritizing for specified data types. It enables organizations manage their network resources with limited capacity. The technique is typically applied to network that carry traffic for resource-intensive systems.

Why do organizations need Quality of Service?

            Without QoS, network data can become disorganized, bottleneck s at the point where performance degrades or, in some cases network can shut down entirely. The main benefit is QoS ensures availability, efficiently transferred data over that network. Enterprises should provide a conjecturable, stable and measurable services as applications, such as streaming media, voice, video on demand (VOD) and voice over IP (VOIP) and delay-sensitive data for their customers to use. Organizations need QoS to meet their traffic requirements of sensitive applications to optimize the performance of network. QoS ensures your organization achieve the expected service quality and quality of experience (QoE). If services that organization provide are not reliable, customer employee relations may be risky.

Organizations can reach QoS by using precise tools and methods. The reason why you need a tool is that there are a great number QoS parameters to analysis and requires a heap of time and huge amount of money. 

Monitor & analyze your bandwidth comprehensively, increase efficiency by using your existing bandwidth instead upgrading infrastructure 

Gauge traffic levels

Reduce latency and jitters

Track temperature, optic power level, packet loss 

CRC error logs

Visual representation of collected data

Monitoring Network Traffic

Star Suite enables gauge traffic levels, find out the pattern between extreme points, packet losses, track temperature, optical levels and many more performance metrics that impact the quality of network. It provides safe, efficient data with a customizable way and makes possible serving you which data you need immediately from millions of performance data. Star Suite monitoring tool offers you gain centralized visibility and notifies you when threshold exceeds. By this way, you can assign priorities to mission-critical services, dedicate bandwidth, control jitter and latency.       

Analysis& Prediction

Implementing QoS starts with an enterprise identifying types of traffic which are critical. Since Star Suite gives you observability of service traffic that consumes the bandwidth the most, you can make an analysis of deteriorating trend of data, possible bottlenecks, high-bandwidth usage. Observing these parameters is a crucial part of the decision making process such as prioritization and dedication a new bandwidth or usage of existing one.

With the aim of reducing packet loss and corruption, Star Suite automatically calculates and demonstrates CRC (cyclic redundancy check) errors. 

Additionally, for many organizations, QoS includes service level agreements. Star Suite serves critical business services’ data in a plate in order to guarantee you a certain level of network performance. 

Moreover, with the implementation of time series analysis and assessment of data with trend seasonality becomes a basis for predictions. Star Suite has an ability to forecast the future term traffic by using machine learning algorithms. This covers quality of the system and the flow of the current metrics and inference of correlation between problems.

Logging Data

Since an infrastructure network contains many devices and these devices create huge number of metrics periodically, collection is the big part of the quality of service. In order to evaluate the issues, correlation of the data becomes important. To see the big picture, retrospective data is kept with big data processing in the most appropriate way in Star Suite. Each data with its minimum, maximum and average values logged chronologically. 

Presentation

Star Suite presents these quality data into various formats such as trend reports, visualized dashboards.

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