OTT Multicast Timeslot Allocation for Network Resource Efficiency
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Solution Overview
Problem
Current content delivery frameworks result in waste of network resources due to inefficient allocation and use, with some resources remaining unused or underutilized, leading to strained networks.
Innovation Solution
The Over-the-Top (OTT) multicast service allows users to competitively secure timeslots for program delivery based on generated timeslot information, which includes date, time, geographic area, and delivery parameters, using pre-provisioned or dynamically created network resources, and implements a policy-based billing architecture to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network resources are allocated based on traditional subscription frameworks, then network resources are provisioned regardless of actual use, but this results in waste of network resources due to inefficient allocation and underutilization
Solution Approach 1:
The system dynamically allocates network resources based on real-time demand and actual usage patterns rather than static subscription allocations. The network resource allocation is adjusted continuously to match current needs, allowing resources to be reassigned from underutilized services to high-demand services, thereby improving overall utilization efficiency and reducing waste.
Solution Approach 2:
The system changes allocation parameters by transitioning from fixed subscription-based resource provisioning to flexible demand-based allocation. By monitoring usage metrics and adjusting resource allocation parameters in real-time, the system optimizes the match between available network resources and actual service requirements, eliminating both over-provisioning and under-provisioning scenarios.
2Reliability
If network resources are allocated to ensure coverage, then some resources remain unused or underutilized, but this leads to strained networks when demand increases
Solution Approach 1:
The system implements dynamic resource allocation that automatically adjusts network resource distribution based on real-time demand conditions. When demand increases in specific areas or services, resources are dynamically reassigned to meet the increased load while maintaining service availability. This dynamic approach ensures both reliability during peak demand and efficient utilization during lower demand periods.
Solution Approach 2:
The system creates a universal resource allocation mechanism that can serve multiple services and functions simultaneously. Network resources are allocated to support various services based on their current needs rather than being dedicated to specific services, allowing the same resources to be reused across different services at different times, thereby improving both reliability and efficiency.
3Reliability
If traditional content delivery frameworks are used, then network resources are over-provisioned to ensure delivery capability, but this results in inefficient resource usage and increased costs
Solution Approach 1:
The system implements self-service resource allocation where the network automatically monitors its own resource utilization and adjusts allocations without complex external management. The network resources self-regulate by detecting usage patterns and reallocating themselves to optimize delivery capability while minimizing waste, reducing the complexity of manual resource management while maintaining reliable program delivery.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor network resource usage and delivery performance. This feedback loop enables automatic adjustment of resource allocations based on actual delivery needs and usage patterns, ensuring sufficient delivery capability while eliminating over-provisioning. The feedback-driven approach simplifies resource allocation by using real-time data rather than complex predictive models.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are provided to receive network resource information pertaining to a network, and generate timeslot information pertaining to a network based on the network resource information. The timeslot information may indicate a date, a time period, a geographic service area, and quality of service parameters in which the network resource is available for use by subscribers of a multicast service to deliver programs. The timeslot information and cost information are published, and the OTT multicast service provisions the delivery of programs using timeslots secured by the subscribers.