CDN Fragment Load Control on Shared Communication Links
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Solution Overview
Problem
Shared communication links in content delivery networks (CDNs) face bandwidth limitations, leading to challenges in managing data transmission efficiently, especially when multiple data sources share the same link, resulting in potential service degradation due to peak load conditions.
Innovation Solution
Implementing a system with fractional-storage CDN servers that use erasure-coded fragments, where assembling devices select servers based on Internet traffic loads to optimize fragment transmission through shared links, preferring servers with lower traffic loads to minimize service degradation and maximize throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple data sources transmit data over shared communication links, then the bandwidth utilization increases, but the service degradation occurs during peak load conditions
Solution Approach 1:
The system dynamically adjusts the selection of CDN servers based on real-time Internet traffic load conditions. Assembling devices query server status and adaptively choose servers with lower traffic loads, making the system flexible and responsive to changing network conditions rather than using static server assignments
Solution Approach 2:
The system changes the operational parameters of server selection by considering Internet traffic load as a key parameter. Servers are selected based on their current traffic load state, and the maximum number of sub-sets a server can participate in is adjusted according to the throughput of other Internet traffic, effectively using parameter changes to balance load and prevent service degradation
2Device complexity
If CDN servers are selected without considering Internet traffic load, then the system complexity is reduced, but the bandwidth efficiency decreases
Solution Approach 1:
The system implements feedback mechanisms where assembling devices query the Internet traffic load status of CDN servers before selecting them for fragment transmission. This feedback loop allows the system to make informed decisions about server selection, optimizing bandwidth efficiency by choosing servers with lower current traffic loads
Solution Approach 2:
CDN servers independently monitor and report their own Internet traffic load conditions. Assembling devices use this self-reported information to make selection decisions, allowing servers to self-manage their load participation without requiring complex centralized control
Data Source
AI summary
Controlling fragment load on shared links, including a large number of fractional-storage CDN servers storing erasure-coded fragments encoded with a redundancy factor greater than one from contents, and a large number of assembling devices configured to obtain the fragments from sub-sets of the servers. At least some of the servers share their Internet communication link with other Internet traffic, and the fragment traffic via the shared link is determined by the number of sub-sets in which the servers accessed via the shared link participate. Wherein the maximum number of sub-sets in which the servers accessed via the shared link are allowed to participate is approximately a decreasing function of the throughput of the other Internet traffic via the shared link.