Topology-Centric Resource Management for Service Clusters
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Solution Overview
Problem
Large-scale service clusters face challenges in optimizing network topology and resource management due to physical limitations of switches and varying bandwidth, leading to suboptimal availability and performance.
Innovation Solution
Implementing topology-centric resource management by creating an optimized network topology based on application flows and bandwidth requirements, using a service graph to assign switches and optimize load balancing, and employing centralized or decentralized monitoring schemes to maintain the topology view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a hierarchical topology with multiple network switches is used to connect service modules, then the cluster can accommodate more nodes and expand capacity, but the network complexity increases and bandwidth is limited by switch uplinks
Solution Approach 1:
The patent segments the service cluster into multiple service modules, each with its own dedicated switch. This segmentation allows the system to scale by adding modules independently while maintaining manageable complexity through modular architecture. Each service module is a self-contained unit with dedicated resources.
Solution Approach 2:
The patent introduces a dedicated switch as an intermediary component between service modules and the core network. This dedicated switch acts as a mediator that handles all traffic for its associated service module, isolating it from other modules and simplifying the overall network topology management.
2Quantity of substance
If a hierarchical topology with multiple network switches is used to connect service modules, then the cluster can accommodate more nodes and expand capacity, but the bandwidth is limited by the uplink of each switch
Solution Approach 1:
The patent segments the network bandwidth allocation by assigning a dedicated switch to each service module, creating dedicated bandwidth paths. This segmentation ensures that bandwidth is allocated specifically to each module's needs rather than sharing limited uplink capacity, allowing scalable bandwidth provision as nodes are added.
3Adaptability or versatility
If traffic is routed through multiple switches in a hierarchical topology, then nodes can be connected across non-adjacent cages, but the availability decreases due to potential switch failures
Solution Approach 1:
The patent segments the network into isolated service module domains, each with its own dedicated switch. This segmentation means that a failure in one service module's switch does not propagate to other modules, as each module is isolated in its own switching domain. This modular isolation significantly improves system availability.
Solution Approach 2:
The dedicated switch acts as an intermediary that isolates traffic for its associated service module from other modules. This intermediary component provides a containment boundary that prevents failure propagation, ensuring that issues in one module do not affect the availability of other modules.
4Reliability
If a dedicated switch is assigned to each service module, then availability is improved by isolating failures, but the number of switches and device complexity increases
Solution Approach 1:
The patent applies multi-functionality by having the dedicated switch serve multiple purposes: it acts as a layer 2 switch for service module connectivity, a layer 3 router for inter-module communication, and a bandwidth manager for dedicated capacity allocation. This multi-functionality reduces the need for additional specialized devices while maintaining high availability.
Data Source
AI summary
Topology-centric resource management for large scale service clusters is described herein. According to certain embodiments of the invention, techniques include 1) creating optimized topology with network switches to connect service modules based on application flows and bandwidth requirements, 2) providing centralized or decentralized monitoring schemes to maintain the topology view of a service cluster, and 3) using the topology information for optimizing load balancing and service information dissemination. Other methods and apparatuses are also described.


