Query Language for Resource Grouping in Distributed Systems
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Solution Overview
Problem
The complexity of managing and provisioning resources in large-scale distributed systems, such as data centers, increases with scale, making it difficult to efficiently group and configure heterogeneous resources across multiple services and geographical locations.
Innovation Solution
A query language is introduced that allows users to define resource groups based on user-defined and system-defined attributes, enabling standardized grouping and management of resources, with features like attribute crawling and event-driven notifications for dynamic updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If distributed systems scale up to include more computing systems across multiple geographical locations, then the computing resources and services available increase, but the complexity of provisioning, administering, and managing these resources increases significantly
Solution Approach 1:
The patent introduces a resource group as an intermediary abstraction layer between individual computing resources and users. This resource group aggregates multiple heterogeneous computing systems across different geographical locations into a unified logical entity, allowing users to manage distributed resources through a single interface without dealing with the underlying complexity of each individual system's location, hardware, or software configuration
Solution Approach 2:
The resource group serves multiple functions simultaneously: it acts as a container for heterogeneous resources, provides a unified access interface, enables batch management operations, and abstracts away geographical and hardware differences. This multi-functional approach resolves the management complexity by providing a universal mechanism that handles diverse computing systems in a standardized way
2Adaptability or versatility
If heterogeneous resources from multiple services and geographical locations are integrated into distributed systems, then the versatility and capability of the system increase, but the difficulty of grouping and configuring these resources increases
Solution Approach 1:
The patent segments the management of heterogeneous resources by introducing a logical resource group that separates the conceptual organization of resources from their physical characteristics. This segmentation allows resources to be grouped based on logical criteria (such as function or project) rather than physical attributes (such as location or hardware type), making it easier to manage versatile heterogeneous resources
Solution Approach 2:
The invention changes the parameters used for resource grouping from physical attributes (geographical location, hardware specifications) to logical attributes (resource type, functional category, project assignment). This parameter transformation enables efficient grouping and configuration of heterogeneous resources by allowing users to query and organize resources based on functional requirements rather than physical constraints
Data Source
AI summary
Methods, systems, and computer-readable media for a query language for selecting and addressing resources are disclosed. Records are stored in a data store. The records comprise attribute data descriptive of resources managed by a provider network. The data store is queried to select one or more records matching one or more values of the attribute data. The query is expressed using a query language. A resource group is determined based (at least in part) on the query. The resource group comprises one or more resources corresponding to the one or more records selected by the query.