Towards a Generic Software Architecture for IoT Systems
- URL: http://arxiv.org/abs/2411.10837v1
- Date: Sat, 16 Nov 2024 16:39:53 GMT
- Title: Towards a Generic Software Architecture for IoT Systems
- Authors: Yousef Abuseta,
- Abstract summary: Traditional software architectures fall short of addressing the requirements of IoT systems.
This paper lays out the foundation for a quality attribute driven software architecture for the development of IoT systems.
- Score: 0.0
- License:
- Abstract: The complexity of IoT, owing to the inherent distributed and dynamic nature of such systems, brings more challenges to the software development process. A vast number of devices with different communication protocols and data formats is involved and needs to be connected and exchange data with each other in a seamless manner. Traditional software architectures fall short of addressing the requirements of IoT systems and, therefore, a new approach to software architecture is required. This paper presents an attempt to lay out the foundation for a quality attribute driven software architecture for the development of IoT systems. This architecture accommodates the appropriate architectural styles and design patterns necessary for the development of a robust IoT system. These include edge computing, microservices and event driven architectures. The proposed architecture treats IoT systems as autonomic systems which require a closed control loop to regulate and orchestrate the operational aspect of the IoT system.
Related papers
- Comparison of Code Quality and Best Practices in IoT and non-IoT Software [3.0711566483997075]
We compare the code quality of two equivalent sets of IoT and non-IoT systems.
We then select and present a list of best practices to address the observed difference between IoT and non-IoT code.
arXiv Detail & Related papers (2024-08-05T16:39:04Z) - Designing and Implementing a Generator Framework for a SIMD Abstraction Library [53.84310825081338]
We present TSLGen, a novel end-to-end framework for generating an SIMD abstraction library.
We show that our framework is comparable to existing libraries, and we achieve the same performance results.
arXiv Detail & Related papers (2024-07-26T13:25:38Z) - CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS [0.0]
We propose CARLOS - an open, modular, and scalable simulation framework for the development and testing of software in C-ITS.
We provide core building blocks for this framework and explain how it can be used and extended by the community.
In our paper, we motivate the architecture by describing important design principles and showcasing three major use cases.
arXiv Detail & Related papers (2024-04-02T10:48:36Z) - Serving Deep Learning Model in Relational Databases [70.53282490832189]
Serving deep learning (DL) models on relational data has become a critical requirement across diverse commercial and scientific domains.
We highlight three pivotal paradigms: The state-of-the-art DL-centric architecture offloads DL computations to dedicated DL frameworks.
The potential UDF-centric architecture encapsulates one or more tensor computations into User Defined Functions (UDFs) within the relational database management system (RDBMS)
arXiv Detail & Related papers (2023-10-07T06:01:35Z) - Towards Artificial General Intelligence (AGI) in the Internet of Things
(IoT): Opportunities and Challenges [55.82853124625841]
Artificial General Intelligence (AGI) possesses the capacity to comprehend, learn, and execute tasks with human cognitive abilities.
This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the Internet of Things.
The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education.
arXiv Detail & Related papers (2023-09-14T05:43:36Z) - Proposing a Dynamic Executive Microservices Architecture Model for AI
Systems [0.0]
Microservices architecture is one of the new architectural styles that has improved in recent years.
Orchestration of the components in the architecture is one of the main challenges in distributed systems.
The presented model, as a pattern, can be used at the both design and development level of the system.
arXiv Detail & Related papers (2023-08-10T19:31:02Z) - Machine Learning-Enabled Software and System Architecture Frameworks [48.87872564630711]
The stakeholders with data science and Machine Learning related concerns, such as data scientists and data engineers, are yet to be included in existing architecture frameworks.
We surveyed 61 subject matter experts from over 25 organizations in 10 countries.
arXiv Detail & Related papers (2023-08-09T21:54:34Z) - A Compositional Approach to Creating Architecture Frameworks with an
Application to Distributed AI Systems [16.690434072032176]
We show how compositional thinking can provide rules for the creation and management of architectural frameworks for complex systems.
The aim of the paper is not to provide viewpoints or architecture models specific to AI systems, but instead to provide guidelines on how a consistent framework can be built up with existing, or newly created, viewpoints.
arXiv Detail & Related papers (2022-12-27T18:05:02Z) - Multi-Exit Vision Transformer for Dynamic Inference [88.17413955380262]
We propose seven different architectures for early exit branches that can be used for dynamic inference in Vision Transformer backbones.
We show that each one of our proposed architectures could prove useful in the trade-off between accuracy and speed.
arXiv Detail & Related papers (2021-06-29T09:01:13Z) - Software-Defined Edge Computing: A New Architecture Paradigm to Support
IoT Data Analysis [21.016796500957977]
We introduce in this paper features of IoT data, trends of IoT network architectures, some problems in IoT data analysis, and their solutions.
Specifically, we view that software-defined edge computing is a promising architecture to support the unique needs of IoT data analysis.
arXiv Detail & Related papers (2021-04-22T11:19:20Z) - Towards an Interface Description Template for AI-enabled Systems [77.34726150561087]
Reuse is a common system architecture approach that seeks to instantiate a system architecture with existing components.
There is currently no framework that guides the selection of necessary information to assess their portability to operate in a system different than the one for which the component was originally purposed.
We present ongoing work on establishing an interface description template that captures the main information of an AI-enabled component.
arXiv Detail & Related papers (2020-07-13T20:30:26Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.