Virtualized Load Distributors for Scalable Network Services
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Solution Overview
Problem
Existing load distribution architectures in large-scale computer networks face challenges such as single points of failure, high complexity, and limited scalability, leading to costly and fragile network topologies, which impact performance, reliability, and scalability.
Innovation Solution
The integration of virtualization software with common network components to create scalable systems, allowing for dynamic allocation of network functions and resources, such as load balancers, firewalls, and routers, across clusters of servers, reducing reliance on expensive hardware and enabling flexible scaling and failover mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a load distributor is used to distribute workload intelligently, then network performance and reliability are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent segments the load distribution function into multiple distributed load distributors across the network, eliminating the single complex central load distributor. Each distributor handles local load distribution independently, reducing individual device complexity while maintaining overall network reliability through distributed intelligence.
Solution Approach 2:
The patent replaces the mechanical/physical load distributor hardware with a virtualized software-based load distribution system running on standard servers. This substitution reduces device complexity and cost while maintaining or improving reliability through software flexibility and ease of replication.
2Productivity
If a central load distributor processes high layer information, then intelligent load distribution is achieved, but the system becomes less stable and more complex
Solution Approach 1:
The patent divides the centralized load distribution architecture into multiple distributed load distributors that independently process high layer information. This segmentation eliminates the single point of failure and tight coupling, improving network topology stability while maintaining intelligent load distribution capabilities across the distributed system.
Solution Approach 2:
The patent transitions from a single-dimensional centralized load distribution model to a multi-dimensional distributed architecture where load distributors operate across multiple network dimensions. This dimensional expansion allows intelligent load distribution to occur at multiple levels simultaneously, improving both productivity and stability.
3Reliability
If expensive dedicated hardware is used for load distribution, then performance and reliability are improved, but scalability and adaptability are reduced
Solution Approach 1:
The patent replaces expensive dedicated load distribution hardware with virtualized software instances running on standard commercial servers. This substitution dramatically improves scalability and adaptability while maintaining reliability through software-based fault tolerance and ease of deployment across diverse hardware platforms.
Solution Approach 2:
The patent creates universal virtualized load distributors that can run on any standard server hardware, making the system adaptable to various platforms and easily scalable. These multi-functional virtual instances can be deployed anywhere in the network, providing both reliability through redundancy and versatility through platform independence.
4Ease of operation
If a single choke point load distributor is used, then centralized control is achieved, but the system becomes fragile and less scalable
Solution Approach 1:
The patent segments the centralized choke point into multiple distributed load distributors that maintain coordinated control through standardized protocols. This segmentation eliminates the single point of failure while preserving centralized-like control through distributed consensus, improving reliability without sacrificing ease of operation.
Solution Approach 2:
The patent introduces intermediary communication protocols and coordination mechanisms that enable distributed load distributors to work together as a unified system. These intermediaries maintain centralized control characteristics while allowing distributed operation, reducing system fragility while preserving ease of operation.
Data Source
AI summary
Various embodiments of the invention provide for an unparalleled scalable and reliable load distribution design for use in a large class of network applications, including cloud computing in modern data center networks and similar services, which can benefit from the invention by taking advantage of commonly available network components and systems. In particular, various embodiments of the invention extend a logical load distributor model to include distributed clusters of loosely coupled components. Certain embodiments accomplish this by combining existing silicon-based network components and functionalities with the scalability and reliability provided by virtualized processes in order to improve critical load distribution and load balancing performance without requiring costly upgrades to infrastructure and without negative structural impact on the overall network. Some embodiments take advantage of hierarchical designs to further increase scalability.