Jitter, Latency, Packet Loss

Unified Communications introduced new service issues onto the plate of network engineers. VoIP quality of service (QoS) problems including jitter, latency, and packet lose from bandwidth congestion or distributed traffic routes where packets arrive late or out of sequence plague VoIP engineers during new deployments and expansions. Identifying the root cause when VoIP traffic utilizes RTP, an unreliable UDP protocol, only complicates the matter. Adding to the complexity is the inpact of additional unified communcation servies of desktop video, application sharing, and collaboration tools.

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How does Predictive UC Analytics help identify the root cause?

By capturing QoS attributes including jitter, latency, packet volume (Sent, Received, and Lost), MOS score (Min, Max, and Mean) network engineers have immediate correlation of quality impacting matrices by channels, trunk, port, partition, route path, and endpoint. Predictive UC Analytics provides additional visibility with actionable alerts that make network engineers the first to know of a quality issue plus arms them with the information required to resolve the issue.

MOS Score Trending

Measuring the quality of mission critical voice and video services is purely subjective. Using a scale of 5 to 1, session quality is evaluated as Good, Fair, Poor, and Bad. Network engineers use MOS scores as an overall guide to QoS monitoring since measuring jitter, latency, and packet loss for each router leg can be difficult. with traditional reporting systems. Many VoIP and UC platforms calculate MOS scores per call/session or session leg as a add-on feature and added cost. Predictive UC Analytics captures this information and provides flexible filtering to determine if customers or specific network segments are being effected. Historical reports, real-time monitors make you the first to know when problems arise.

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How does trending and QoS Analysis help?

Traditionally when QoS issues surface network engineers are the last to know. Predictive UC Analytics's statistical trending capabilities allow historical comparison of prior time periods by route, trunk, port, partition, and endpoints. Additoinally, predictive analytics provides the added benefit of forecasting future usage patterns for added visibility for pro-active planning. 24x7 monitors watch defined criteria and immediately distribute notifications with supporting detail telling you and your team the nature of the issue and even those affected.