Social Media Context Profiles for Cloud Resource Queries
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Solution Overview
Problem
Current cloud computing systems face challenges in efficiently managing and provisioning resources due to the complexity of user interactions and the limited availability of experienced personnel, leading to difficulties in scaling IT networks to meet the needs of a large number of end users.
Innovation Solution
The system employs social media interfaces to allocate, configure, and maintain cloud computing resources, utilizing natural language processing and user-satisfaction indicators to interpret user requests, generate knowledge base articles, and automate resource provisioning, thereby reducing the reliance on users and human administrators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional cloud computing resource management is used, then resource provisioning can be performed, but the complexity of user interactions and limited availability of experienced personnel prevent efficient scaling to meet large numbers of end users
Solution Approach 1:
The patent implements self-service through automated bot agents that independently handle user requests for cloud resource provisioning, configuration, and troubleshooting. These bots autonomously interpret user intents, search knowledge bases, and execute provisioning tasks without requiring human administrator intervention, thereby improving productivity while managing system complexity through automation.
Solution Approach 2:
The patent introduces bot agents as intermediary components between end users and cloud computing resources. These bots serve as mediators that translate user requests into actionable provisioning tasks, manage complex interactions, and coordinate resource allocation, thereby reducing the burden on experienced personnel and enabling efficient scaling to large numbers of users.
2Reliability
If more human administrators are added to manage user requests, then user support quality can be maintained, but the ability to scale IT networks to meet the needs of a large number of end users is limited
Solution Approach 1:
The patent creates multiple instances of bot agents that can simultaneously handle numerous user requests. Instead of relying on a limited number of human administrators, the system deploys replicated bot agents across the infrastructure, each capable of providing consistent, high-quality support. This copying approach maintains service reliability while enabling the system to scale to accommodate large numbers of end users without proportionally increasing human administrative overhead.
3Manufacturing precision
If manual resource allocation processes are used, then precise control over resource provisioning can be achieved, but the time and effort required for provisioning increase
Solution Approach 1:
The patent replaces manual mechanical processes of resource provisioning with automated computational systems. Bot agents use natural language processing, intent recognition, and automated decision-making algorithms to interpret user requests and execute provisioning tasks. This substitution maintains precise control over resource allocation through automated validation and policy enforcement while dramatically reducing provisioning time by eliminating manual intervention steps.
Solution Approach 2:
The patent implements preliminary action by pre-configuring resource templates, provisioning policies, and approval workflows before users make requests. The system pre-loads knowledge base articles, pre-validates resource availability, and pre-establishes provisioning parameters. When users submit requests, the bot agents can quickly match requests against pre-configured templates and execute provisioning without requiring real-time manual configuration, thereby maintaining precision while reducing provisioning time.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed for conversation context profiles for use with queries submitted using social media. An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to identify a first cloud computing resource based on an electronic message including a query, generate a conversation context profile based on overlapping attributes from at least one of a user, group, or service profile associated with the query, generate a search scope of the query to constrain first search information associated with a cloud computing system to the overlapping attributes, in response to determining that the user profile does not include the first cloud computing resource, grant access to at least one of the first cloud computing resource or second search information based on the conversation context profile, and provide one or more search results based on the search scope.