Cloud-assisted internet of Things (IoT) is a new paradigm to compensate for the disadvantage of limited resources in IoT and extend the functional boundary of IoT. How to preserve the data privacy while identifying th...
详细信息
In this paper, HTTP status codes are used as custom metrics within the HPA as the experimental scenario. By integrating the Random Forest classification algorithm from machine learning, attacks are assessed and predic...
详细信息
The proceedings contain 21 papers. The special focus in this conference is on Software engineering Research and Practice. The topics include: MetaPix: A Data-Centric AI Development Platform for Efficient Manageme...
ISBN:
(纸本)9783031866432
The proceedings contain 21 papers. The special focus in this conference is on Software engineering Research and Practice. The topics include: MetaPix: A Data-Centric AI Development Platform for Efficient Management and Utilization of Unstructured Computer Vision Data;A Novel Architecture That Examines Network Activity in a Docker-Based Multitenant to Verify Zero Trust Container Architecture (ZTCA) Compliance;VENUS: Designing a Validation Engine for User Stories;a Framework for Requirements Modeling of Safety Critical Systems: A Continuous Glucose Monitoring System Case Study;plan-Based and Agile Companies: A Comparison of Project Management Approaches;Service Availability Ratio (SAR): An Availability Metric for Microservice;Development of a Desktop Agent System Using GPT;navigating Challenges in E-Participation: A Comprehensive Meta-Analysis;The Shifting Landscape of Cybersecurity: The Impact of Remote Work and COVID-19 on Data Breach Trends;Farmchain: Empowering Smallholder Farmers Through Blockchain and DAOs: Cryptournomic Approach;privacy Strategies for Police Personnel: Co-designing a Self-assessment Tool;cybersecurity Threats: An Analysis of the Rise and Impacts of State Sponsored Cyber Attacks;moore’s Law: What Comes Next?;use of Emerging Technologies in Africa;using Survey to Investigate the Integration of Artificial Intelligence in e-Learning;students Satisfaction with the Distance Education During Covid-19 Pandemic;Improving Student Success in Math Courses Using WeBWorK;fast Food Review Online;a Systems Approach to Improving E-Learning Using Theory of Constraints.
Smart Healthcare is witnessing widespread implementation of internet-of-Medical-Things (IoMT) devices. These devices play a crucial role in collecting vast amounts of data from various smart healthcare applications, w...
详细信息
The proliferation of the internet of Vehicles (IoV) has spurred the development of computationally intensive and latency-sensitive applications in vehicles. However, limited onboard computing resources hinder their ex...
详细信息
The swift expansion of the information technology (IT) industry has led to a surge in compute-intensive and latency-sensitive applications. While cloud computing can satiate the demands of such applications, its centr...
详细信息
ISBN:
(纸本)9783031751691;9783031751707
The swift expansion of the information technology (IT) industry has led to a surge in compute-intensive and latency-sensitive applications. While cloud computing can satiate the demands of such applications, its centralized architecture may cause delays in the execution of tasks. To address such issues, edge computing brings computation closer to data sources. However, limited resources on internet of things (IoT) devices make local execution quite challenging. Therefore, a pliable approach is to consider task offloading for moving heavy tasks to resource-extensive systems like edge/cloud. Osmotic computing, leveraging edge and cloud resources, aims to enhance IoT services. However, the dynamic nature of IoT, edge, and cloud introduces challenges for task offloading. This paper proposes an offloading algorithm using fuzzy logic to manage uncertainty. Furthermore, we introduce an osmotic decision manager (ODM) that employs fuzzy logic for optimized offloading decisions, considering IoT/edge for latency-sensitive tasks and cloud for latency-tolerant tasks. This algorithm aims to improve overall system performance by efficiently offloading tasks based on their specific requirements and constraints. The proposed algorithm undergoes simulation and assessment with diverse synthetic test cases to demonstrate its efficacy.
Adapting current business machines to the internet of things (Iota) paradigm offers many possibilities for commercial procedures to grow to be greater efficient, dependable, and cost-powerful. This paper offers a high...
详细信息
This research study presents a comprehensive multilingual approach to crop disease diagnosis aimed at transforming agricultural practices. The proposed system leverages advanced deep learning models such as ResNet, Ef...
详细信息
In the country to vigorously support the development of rural e-commerce industry, how to use cloud computing and big data technology construction planning rural e-commerce logistics, efficient integration of local lo...
详细信息
Traditional toys often do not adapt to the emotional and physical needs of children, particularly those who may have limited verbal communication abilities. The project’s goal is to create a smart toy that is adaptiv...
详细信息
暂无评论