Edge Caching System Reduces Hyperscaler Egress Fees
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Solution Overview
Problem
Cloud computing services incur significant data egress fees for data retrieval from hyperscalers, leading to increased operational costs for businesses.
Innovation Solution
Implementing an edge caching system that designates specific data packets for caching at edge servers, reducing the reliance on hyperscalers for data retrieval and creating a customizable pricing model based on usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is retrieved from hyperscalers, then data accessibility is maintained, but data egress fees increase operational costs
Solution Approach 1:
The system performs preliminary actions by caching data packets at edge servers before they are needed at the core hyperscaler infrastructure. When data requests occur, the edge servers can serve cached packets locally, avoiding expensive data egress fees from hyperscalers while maintaining data accessibility. This preliminary caching action resolves the contradiction between easy data access and high operational costs.
2Speed
If data is cached at edge servers, then data retrieval speed increases, but network infrastructure complexity increases
Solution Approach 1:
The network infrastructure is segmented into multiple components: core hyperscaler data centers and distributed edge servers. Data packets are segmented and cached at appropriate edge servers based on request patterns. This segmentation allows fast local retrieval at edge nodes while maintaining the simplicity of the core hyperscaler infrastructure, resolving the contradiction between retrieval speed and overall system complexity.
Solution Approach 2:
Edge servers act as intermediaries between end users and the core hyperscaler infrastructure. They cache data packets and handle local requests, reducing the need for direct communication with hyperscalers. This intermediary layer provides fast data retrieval while keeping the core infrastructure simple and manageable.
3Loss of energy
If edge caching is implemented, then data egress fees are reduced, but system complexity increases
Solution Approach 1:
The edge caching system is designed to be self-managing through automated mechanisms. The network automatically identifies candidate data packets for caching, selects appropriate edge servers, and manages cache content without requiring complex manual configuration. This self-service approach reduces data egress fees while minimizing the operational complexity burden on system administrators.
Solution Approach 2:
The system dynamically changes parameters such as cache size, caching priority, and edge server selection based on observed data access patterns and network conditions. These parameter adjustments are made automatically to optimize fee reduction while maintaining manageable system complexity. The system adapts to changing conditions without requiring complex reconfiguration.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying data that is associated with an application being executed by an end user device and that has been transmitted from a hyperscaler in response to a first request by the application; determining that the data has been designated for edge caching resulting in a caching determination; selecting a network device from a group of network devices based on location information of the end user device; causing the data to be stored at the network device; and facilitating providing access to the data at the network device in response to a second request associated with the application. Other embodiments are disclosed.