Described herein are devices and techniques for deterministic service chaining between virtual network functions (VNFs). A control device can comprise a wide area network (WAN) interface, at least one local interface, and processing circuitry. The WAN interface can communicate with a plurality of WAN links. The at least one local interface can communicate with VNFs. The processing circuitry configured to: receive performance indicators, identify one of the plurality of devices having a value for a performance indicator that exceeds a threshold for a corresponding key performance indicator, and provide notification of a violation based on the identifying. The performance indicators can include latency and resource usage from the WAN interface and the at least one local interface. Also described are other embodiments.

Deterministic service chaining between nfv-pop's

A high definition surveillance video storage optimization system executes purging directives according to policy and retention meta data. Segments of video are purged from storage when thresholds of retention metrics are applied and when policy permits. Retention metrics are determined from acoustic sound energy, radiation energy, access control events, and movement. Policies reflect calendars and elapsed time, percentage of available storage, statutory and judicial mandates, and utility of the stored segments. Extrinsic sensor data and operations are recorded into non-transitory retention meta data stores. Metrics are transformed into retention flags at either time of recordation or time of purgation. Security file storage includes metadata about the environment acquired by sensors include doors, audio noise, object identification and tracking and inputs which influence retention or purging. A circuit filters for motion and stores metadata per segment. Meta data enables content based purging of least consequential files.

High definition surveillance image storage optimization apparatus and methods of retention triggering

The invention discloses a VOD service quality monitoring system and method The system comprises a set-top box QoS soft probe and VOD service quality monitoring center management platform; the set-top box QoS soft probe comprises a network packet capture and protocol analysis module, a VOD KPI statistical module and a KPI reporting communication module; and the VOD service quality monitoring center management platform comprises a set-top box KPI collection module and a VOD KPI summary statistical module By adoption of the VOD service quality monitoring system and method provided by the invention, performance and service quality monitoring of a VOD server can be achieved, and the monitoring accuracy and efficiency are improved The system has a low deployment cost, the monitored QoS indexes of the VOD server can reflect the access load and the performance condition of a user set-top box on the VOD server; and in addition, the VOD server and the video URL actually accessed by the set-top box can be automatically discovered without any configuration, thereby greatly reducing the complexity and cost of system management and maintenance

VOD service quality monitoring system and method

A content-driven video storage optimization apparatus applies motion analysis at purge time or when the images are initially archived. Retention meta data is determined for image segments with and segments without motion. When triggered by a directive, segments that do not contain motion are purged. A lossy compression method optimizes storage for a security surveillance network. An appliance transforms image files into a key frame and at least one subsequent frame compatible with JPEG. A circuit filters for motion and stores metadata for each train of a key frame and its subsequent frames. The transformation operates on coefficients of frequency bins. Meta data enables content based purging of least consequential files.

Content-driven surveillance image storage optimization apparatus and method of operation

The present invention relates generally to video communication systems, and more specifically to a method and device for determining a degree of animation of a graphical overlay for a video stream based on a degree of movement in the video stream.

Method and device for inserting a graphical overlay in a video stream

This disclosure articulates methods for calculating a metric based on actual time period of retention (ρα) in a given video recording system. The measurement is performed on a per-camera-stream basis for each camera stream being recorded on a system. The metric is related to Video Retention Compliance (VRC), which is another key performance indicators of video surveillance applications, as it is tied to a business and, sometimes, regulatory requirement of an organization. This disclosure describes methods of calculating retention for each camera stream recording on a server, and doing so in an efficient enough way so as to be practical for ongoing operations.

Systems and methods of determining retention of video surveillance data

Key performance indicators that are necessary to properly measure the health of video surveillance applications and the supporting infrastructure are disclosed. The performance indicators include: Video Path Uptime (VPU), Video Stream Delivery Index (VSDI), and, Video Retention Compliance (VRC). From these metrics, it is possible to calibrate whether the surveillance infrastructure is operating properly. These metrics can be used to properly alert video network administrators of problems that are actually affecting the video surveillance application. It is also possible to use these metrics to build better analytics to determine root cause of problems as well as build prediction models for potential problems before they occur

Systems and methods of measuring quality of video surveillance infrastructure

A distributed storage of sequential video frames is designed without compromising data reliability. Capitalizing on the loss-tolerant nature of video data, user experience is maintained by leveraging higher capacity drives with lower latency, higher throughput and more efficient utilization of provisioned storage. No RAID, replication or erasure computations are necessary. There are a few optimization to this method which improves reliability, such as reliably storing video data in partitioned drives, making data storage configuration map known to each partition, implementing a strategy for avoiding loss of a common moment, preventing potential loss of reference frames, leveraging different sized drives, avoiding pitfalls associated with data getting stored disproportionately to large drives etc. Though video streaming data has been used as an illustrative example of loss-tolerant data, the methods and systems can be applied to any type of loss-tolerant data.

Manqing Liu

Papers

Systems and methods of determining retention of video surveillance data

Systems and methods of measuring quality of video surveillance infrastructure

Storage method for loss-tolerant data stream recording