18256675. LOAD BALANCING IN A SYSTEM simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
- 1 LOAD BALANCING IN A SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LOAD BALANCING IN A SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
LOAD BALANCING IN A SYSTEM
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
[[:Category:Balázs Peter Ger� of Budapest (HU)|Balázs Peter Ger� of Budapest (HU)]][[Category:Balázs Peter Ger� of Budapest (HU)]]
LOAD BALANCING IN A SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18256675 titled 'LOAD BALANCING IN A SYSTEM
Simplified Explanation
The abstract describes a method for load balancing in a system that includes both a function-as-a-service (FaaS) system and a container-as-a-service (CaaS) system. The method involves coordinating load balancing configurations for software containers and software functions to ensure consistent load distribution.
- The method is performed in response to changes in load balancing configurations of software containers in the CaaS system and software functions in the FaaS system.
- Each software container is associated with a respective software function, and the load balancing configurations are coordinated to ensure consistent load distribution across both.
- Following the change, each execution instance of a software function is subject to the same load balancing configuration as the software containers with which it is associated.
Potential Applications
This technology can be applied in cloud computing environments to efficiently distribute workloads across both software containers and functions, ensuring optimal performance and resource utilization.
Problems Solved
1. Inconsistencies in load distribution between software containers and functions in a mixed FaaS and CaaS system. 2. Ensuring that changes in load balancing configurations are effectively implemented across all components of the system.
Benefits
1. Improved performance and resource utilization in cloud computing environments. 2. Simplified management of load balancing configurations for both software containers and functions.
Potential Commercial Applications
Optimizing workload distribution in cloud computing environments, improving overall system performance and efficiency.
Possible Prior Art
One possible prior art could be traditional load balancing methods used in cloud computing environments, which may not specifically address the coordination of load balancing configurations between software containers and functions in a mixed FaaS and CaaS system.
Unanswered Questions
How does this method handle dynamic changes in workload demands?
The abstract does not provide details on how the method adapts to fluctuations in workload demands and adjusts load balancing configurations accordingly.
What impact does this method have on overall system scalability?
It is unclear from the abstract how this method may affect the scalability of the system as workload demands increase or decrease.
Original Abstract Submitted
There is provided a method performed by an entity for load balancing in a system including a function-as-a-service (FaaS) system and a container-as-a-service (CaaS) system. The method is performed in response to a change in a load balancing configuration of a plurality of software containers of the CaaS system and/or a second load balancing configuration of a plurality of software functions of the FaaS system. Each software container is associated with a respective software function. The first load balancing configuration and second load balancing configuration are coordinated such that, following the change, each execution instance of one or more of the plurality software functions is subject to the same load balancing configuration as each instance of one or more of the plurality of software containers with which the one or more of the plurality of software functions is associated.
