HOLISTIC MEASUREMENT OF MICROSERVICE-BASED APPLICATION RESOURCE CONSUMPTION

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HOLISTIC MEASUREMENT OF MICROSERVICE-BASED APPLICATION RESOURCE CONSUMPTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18064453 titled 'HOLISTIC MEASUREMENT OF MICROSERVICE-BASED APPLICATION RESOURCE CONSUMPTION

The patent application describes a system and method for handling service calls between different services, focusing on resource consumption and hardware identification.

Reception of a service call from one service to another.
Generation of a response to the service call.
Determination of hardware resources consumed during the response generation.
Creation of a resource consumption token to identify the consumed resources.
Identification of the type of hardware on which the service is running.
Return of the response, resource consumption token, and hardware identifier to the originating service.

Potential Applications: - Cloud computing services - Resource management in distributed systems - Service level agreements in IT environments

Problems Solved: - Efficient resource allocation - Monitoring and tracking resource consumption - Ensuring hardware compatibility and optimization

Benefits: - Improved performance and resource utilization - Enhanced system reliability and scalability - Streamlined service communication and management

Commercial Applications: Title: "Resource Management System for Service Calls" This technology can be utilized in cloud service providers, IT companies, and data centers to optimize resource usage and enhance service delivery.

Prior Art: Researchers can explore existing patents related to resource management, service communication, and hardware identification in distributed systems.

Frequently Updated Research: Stay updated on advancements in cloud computing, resource allocation algorithms, and service-oriented architectures to enhance the efficiency of this technology.

Questions about the technology: 1. How does this system improve resource allocation in service-oriented environments? 2. What are the implications of hardware identification in optimizing service performance?

Original Abstract Submitted

Systems and methods include reception of a first service call from a first service at a second service, generation, at the second service, of a response to the first service call, determination, at the second service, of an amount of hardware resources consumed by the second service during generation of the response to the first service call, generation, at the second service, of a first resource consumption token identifying the amount of hardware resources consumed by the second service during generation of the response to the first service call, determination of a first identifier of a type of hardware on which the second service is executing, and return of the response, the first resource consumption token and the first identifier of the type of hardware to the first service.