Endpoint Resource Pooling in Multi-Router Systems
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Solution Overview
Problem
Existing distributed router systems face inefficiencies in sharing infrastructure due to conflicting endpoint assignments, increased server latency, and difficulty in maintaining minimum session guarantees across multiple applications, making demand-based pooling of endpoint resources in multi-application environments challenging.
Innovation Solution
A system and method that divides endpoints into zones, where routers assign and manage endpoint resources dynamically, ensuring that session requests are routed efficiently while maintaining minimum port guarantees for each application, and preloaded resources are loaded as needed, using algorithms like hash and load-balancing to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated hardware is allocated to match peak load for each client, then service guarantees (minimum sessions, latency, availability) are met, but resource utilization becomes inefficient and costs increase
Solution Approach 1:
The system segments the endpoint pool into multiple zones, with each router managing a specific zone. This segmentation allows independent control of endpoint assignments within each zone while maintaining overall system coordination, enabling efficient resource sharing without compromising service guarantees
Solution Approach 2:
The system implements dynamic endpoint assignment where routers can allocate and reassign endpoints based on real-time demand rather than static dedicated allocation. This dynamic approach allows endpoints to be shared across multiple applications while maintaining service level agreements through demand-based pooling
2Loss of energy
If infrastructure is shared among multiple applications, then resource efficiency improves, but conflicting endpoint assignments occur among routers
Solution Approach 1:
By dividing the endpoint pool into distinct zones and assigning each router to manage a specific zone, the system eliminates conflicting assignments. Each router has authoritative control over its zone, preventing the conflicts that would arise from multiple routers attempting to assign the same endpoint
Solution Approach 2:
The zone assignment acts as an intermediary mechanism that coordinates endpoint assignments across the distributed router system. This intermediary structure enables shared infrastructure while maintaining assignment consistency through hierarchical control
3Adaptability or versatility
If endpoints are constantly reassigned to handle multiple applications, then resource sharing improves, but server latency increases due to cache changes
Solution Approach 1:
The system performs preliminary actions by preloading resources onto endpoints before they are needed. This allows endpoints to be assigned to applications without incurring latency, as the required resources are already in place and do not need to be loaded during runtime
Solution Approach 2:
The system applies local quality by maintaining different endpoint assignments for different zones based on their specific application requirements. Each zone's endpoints are optimized for their assigned applications, reducing cache changes and latency while still enabling overall resource sharing across the system
4Adaptability or versatility
If endpoints are reassigned dynamically, then resource pooling improves, but preloaded resources required by applications become difficult to maintain
Solution Approach 1:
The system performs preliminary resource loading onto endpoints before assignment to applications. This ensures that when endpoints are assigned, the required preloaded resources are already in place, eliminating the difficulty of maintaining preloaded resources in a dynamically reassigned environment
Solution Approach 2:
The system implements dynamic resource loading where resources are loaded onto endpoints based on real-time assignment needs. This dynamic approach maintains preloaded resources efficiently by loading them only when endpoints are assigned to specific applications, rather than maintaining them statically on all endpoints
Data Source
AI summary
A system and method is provided for enabling demand-based pooling of endpoint resources in a multi-router, multi-application hosting system. The method includes dividing a plurality of endpoints into zones. Each of a plurality of routers is assigned to one of the zones. Each router is enabled to control endpoint assignments within its zone. In the preferred embodiment, for each application hosted by the system, all requests for the application are concentrated on the minimum number of endpoints required to meet demand and fault tolerance requirements. When a request for an application comes into the system, a router will route the request to an endpoint assigned to the application, regardless of whether the endpoint is within the router's zone. If a new endpoint is needed for the application, the router will assign an endpoint within its zone to the application, and inform the other routers of the assignment.