Video Recorder Cluster Resource Allocation
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Solution Overview
Problem
Current video surveillance systems require additional network video recorders as the number of surveillance cameras increases, and computing resources within these recorders are not shareable, leading to inefficient processing operations.
Innovation Solution
A video recorder cluster that determines required resources and distributes operations among its nodes, allowing for efficient processing and recording of video streams by forwarding data to nodes with matching or preferred resources, and includes a cluster controller for managing recorder nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If additional network video recorders are incorporated to support more surveillance cameras, then the number of supported streams increases, but the system complexity and configuration difficulty increase
Solution Approach 1:
Multiple network video recorders are merged into a single virtual cluster entity that presents a unified interface to surveillance cameras. The cluster manager combines resources from individual recorders (storage, processing, transcoding) into a shared pool, allowing the system to support more streams without increasing configuration complexity for operators.
Solution Approach 2:
The network video recorder cluster provides multi-functional capabilities through a single unified system. Individual recorders within the cluster can perform diverse functions (recording, transcoding, analytics) based on available resources, eliminating the need for specialized dedicated recorders for each function and reducing overall system complexity.
2Quantity of substance
If additional network video recorders are incorporated to support more surveillance cameras, then the number of supported streams increases, but the configuration and management time increases
Solution Approach 1:
The cluster manager automatically performs configuration, resource allocation, and load balancing across recorder nodes without requiring manual operator intervention. The system self-configures when new recorders are added and dynamically adjusts resource distribution based on current system state, eliminating time-consuming manual configuration tasks.
Solution Approach 2:
The cluster manager continuously monitors resource utilization across all recorder nodes and dynamically adjusts stream distribution and processing tasks based on real-time feedback. This automated feedback loop eliminates the need for manual reconfiguration when system conditions change, reducing management time significantly.
3Reliability
If computing resources are not shareable among network video recorders, then each recorder operates independently, but resource utilization efficiency decreases
Solution Approach 1:
Computing resources (processing power, storage, transcoding capabilities) from multiple independent recorders are merged into a shared cluster resource pool. The cluster manager allocates these combined resources dynamically to processing tasks, achieving high resource utilization while maintaining the reliability of independent recorder operation through virtualization.
4Ease of operation
If operators must access each network video recorder individually by unique address, then precise control is possible, but operation complexity and time increase
Solution Approach 1:
The cluster manager acts as an intermediary between surveillance cameras and individual recorder nodes. Operators interact with the cluster as a single entity through a unified interface, and the cluster manager handles address resolution and task routing to appropriate individual recorders automatically, eliminating the need for operators to manually address each recorder.
Data Source
AI summary
A video recorder cluster for use in a video surveillance system includes multiple recorder nodes that can each participate in processing of user-specified operations such as playback, recording, and analysis of the video streams. The video recorder cluster determines the required resources for processing the video data of streams, determines the available resources on each of the recorder nodes, and forwards the video data of the streams to recorder nodes that either include the required resources or include a preferred set of available resources in accordance with the required resources. The video recorder cluster presents a single cluster address for client user devices to access the resources of the video recorder cluster, thereby enabling the video recorder cluster to appear as a single virtual network video recorder to clients.