18155242. DYNAMIC DATA COLLECTION simplified abstract (International Business Machines Corporation)

DYNAMIC DATA COLLECTION

Organization Name

International Business Machines Corporation

Inventor(s)

Fan Jing Meng of Beijing (CN)

Guang Han Sui of Beijing (CN)

Peng Hui Jiang of Beijing (CN)

Xing Tian of Beijing (CN)

Li Jian Wang of Beijing (CN)

Cheng Fang Wang of Beijing (CN)

Hua Ye of Beijing (CN)

Ming Liang Zu of Beijing (CN)

Jun Su of Beijing (CN)

DYNAMIC DATA COLLECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18155242 titled 'DYNAMIC DATA COLLECTION

The abstract describes a patent application for techniques related to dynamic data collection. This involves determining a data generation temporal pattern, creating a data collection strategy based on this pattern and data collection goals, performing a data infrastructure evaluation, creating a data collection policy, and establishing a data transfer schedule.

• Techniques for dynamic data collection
• Determining data generation temporal pattern
• Creating data collection strategy based on pattern and goals
• Performing data infrastructure evaluation
• Creating data collection policy
• Establishing data transfer schedule

Potential Applications: - Data analytics - Internet of Things (IoT) devices - Smart grid systems

Problems Solved: - Efficient data collection - Optimal resource utilization - Cost-effective data transfer

Benefits: - Improved data management - Enhanced decision-making - Resource optimization

Commercial Applications: Title: "Optimized Data Collection Technology for IoT Devices" This technology can be used in various industries such as healthcare, manufacturing, and transportation for efficient data collection and analysis, leading to improved operational efficiency and cost savings.

Questions about dynamic data collection: 1. How does dynamic data collection improve resource utilization? Dynamic data collection optimizes resource usage by collecting data based on specific patterns and goals, leading to efficient utilization of resources. 2. What are the potential cost savings associated with implementing a data collection policy? Implementing a data collection policy can result in cost savings by ensuring that data is collected at optimal times and using the most efficient strategies.

Original Abstract Submitted

Disclosed embodiments provide techniques for dynamic data collection. The dynamic data collection includes determining a data generation temporal pattern. Based on the data generation temporal pattern, a data collection strategy is created. The data collection strategy can be based on one or more data collection goals. The data collection strategy can contain specific details on how data is to be collected. A data infrastructure evaluation is performed, which provides pricing models for resources such as electricity and/or network bandwidth. A data collection policy is created based on the data collection strategy and the data infrastructure evaluation. The data collection policy can contain specific details on when data is to be collected and what strategy to use for the collection. A data transfer schedule is created based on the data collection policy. The data transfer schedule determines when to collect data from one or more data source devices.