Dynamic Server Load Balancing via Client Capacity Negotiation

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Solution Overview

Problem

Conventional client-server systems fail to effectively utilize available resources as they treat all clients equally, regardless of their varying capacities, leading to underutilization in systems with a mix of thin and thick clients.

Innovation Solution

A load balancing manager negotiates and dynamically adjusts the load between a server and clients based on their capacity, shifting tasks from the server to thick clients with greater processing and memory capabilities, thereby optimizing resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the server allocates the same load to all clients regardless of their capacities, then the system is simple to manage, but the resources are under-utilized

Engineering Contradiction:

Improveresource utilizationVSAvoidload management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The load balancing manager dynamically adjusts the load distribution between server and client based on real-time capacity information. The system transitions from a static equal-load allocation to a dynamic model where load parameters are continuously negotiated and adjusted according to client processing capacity, memory capacity, and current system conditions

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms where clients report their capacity information to the server, and the server adjusts load allocation based on this feedback. The load balancing manager continuously monitors system state and modifies load distribution decisions based on received capacity data and performance metrics

Inventive Principle:

Principle #23Feedback

2Productivity

If the server offloads tasks to thick clients with greater processing capacity, then the system capacity increases, but the load distribution becomes more complex

Engineering Contradiction:

Improvesystem capacityVSAvoidload distribution mechanism

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

Capable thick clients autonomously perform processing tasks that would otherwise require server resources. The clients use their own processing capacity and memory to execute applications and handle computations, effectively serving their own processing needs and reducing the burden on the server

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system segments the processing load between server and client based on capacity analysis. The load balancing manager divides tasks into portions that can be executed locally by capable clients and portions that remain on the server, creating a segmented distribution of computational work

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8250182B2Dynamic loading between a server and a client

Publication Date: 2012.08.21 RED HAT ISRAEL

AI summary

The load of a server and its client is balanced during connection setup time and dynamically during operation. In one embodiment, a server that hosts virtual machines for a plurality of clients balances its load with its clients. The server receives a request from a requesting client to establish a connection. The request includes capacity information about the requesting client. The server then negotiates with the requesting client about load allocation based on the capacity information. The negotiated load can be dynamically rebalanced after the connection is established.