Capital One Services, LLC (20240330072). SYSTEMS AND METHODS FOR TRACING CLOUD SERVICE COSTS simplified abstract
Contents
SYSTEMS AND METHODS FOR TRACING CLOUD SERVICE COSTS
Organization Name
Inventor(s)
Manideep Kantamneni of Glen Allen VA (US)
Tariq Bhatti of Richmond VA (US)
Jayasri Chadalavada of Vienna VA (US)
SYSTEMS AND METHODS FOR TRACING CLOUD SERVICE COSTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240330072 titled 'SYSTEMS AND METHODS FOR TRACING CLOUD SERVICE COSTS
The abstract describes a system for tracing cloud service costs by analyzing data from a node cluster representing multiple cloud services used by users. The system extracts metrics from the cloud services, determines relationships between them based on the metrics, calculates costs associated with the node cluster, and checks if the cluster is utilized within a set threshold. If not, the system takes actions related to the costs automatically.
- System for tracing cloud service costs
- Analyzes data from a node cluster representing multiple cloud services
- Extracts metrics from the cloud services
- Determines relationships between cloud services based on metrics
- Calculates costs associated with the node cluster
- Checks if the cluster is utilized within a set threshold
- Automatically takes actions related to costs if the cluster is underutilized
Potential Applications: - Cloud cost optimization - Resource allocation in cloud services - Budget management for cloud usage
Problems Solved: - Lack of visibility into cloud service costs - Inefficient resource allocation in cloud environments - Difficulty in managing cloud service expenses
Benefits: - Cost savings through optimized cloud service usage - Improved resource allocation efficiency - Enhanced budget control for cloud operations
Commercial Applications: Title: Cloud Cost Optimization System This technology can be used by cloud service providers, enterprises utilizing cloud services, and IT departments to streamline cloud costs, improve resource utilization, and enhance budget management for cloud operations.
Prior Art: Prior research in cloud cost optimization tools and techniques can provide insights into similar approaches to managing cloud service expenses.
Frequently Updated Research: Stay updated on the latest trends in cloud cost optimization tools and strategies to ensure efficient cloud service cost management.
Questions about Cloud Cost Tracing: 1. How does the system determine the relationships between different cloud services based on metrics? The system uses data analysis techniques to identify patterns and correlations in the metrics extracted from the cloud services.
2. What actions does the system take if the node cluster is not utilized within the predetermined threshold? The system may automatically adjust resource allocation, scale down services, or suggest optimization strategies to reduce costs.
Original Abstract Submitted
disclosed embodiments may include a system for tracing cloud service costs. the system may receive data corresponding to a first node cluster, the first node cluster indicative of a plurality of cloud services utilized by one or more users. the system may extract metrics associated with the plurality of cloud services. the system may determine a relationship between each cloud service of the plurality of cloud services based on the metrics. the system may determine one or more costs associated with the first node cluster, the one or more costs based on the relationship. the system may determine whether the first node cluster is utilized within a predetermined threshold. responsive to determining the first node cluster is not utilized within the predetermined threshold, the system may automatically conduct one or more actions associated with the one or more costs.
