Supporting IoT applications deployment on edge-based infrastructures using multi-layer feature models
نویسندگان
چکیده
Edge Computing proposes to use the nearby devices in frontier/Edge of access network for deploying application tasks IoT-based systems. However, functionality such cyber–physical systems, which is usually distributed several and computers, imposes specific requirements on infrastructure run properly. The evolution an meet new user high diversity hardware software technologies IoT/Edge/Cloud can complicate deployment continuously evolving applications. aim our approach apply Multi Layer Feature Models, capture variability applications infrastructure, support edge-based environments With this multi-layered possible independently. Considering that infrastructures are shared by many applications, process has assure there will be enough resources all them, informing developers about feasible alternatives. We provide four modules so developer calculate what configuration minimal set supporting evolved application. In addition, find hosted current infrastructure. successive solutions continuous generated pursue reduction system energy footprint and/or execution latency.
منابع مشابه
Multi-layer Analysis of IoT-based Systems
Information and communication technologies are widespread now; it is difficult to exemplify one aspect of our daily life that is completely unrelated to the internet. In this context, Internet of Things is an ongoing step towards the automatization of human activities, including not only information interchanges but also material activities and decision-making processes. Traditional approaches ...
متن کاملMulti-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications
Due to the rapid advancements in the sensor technologies and IoT, we are witnessing a rapid growth in the use of sensors and relevant IoT applications. A very large number of sensors and IoT devices are in place in our surroundings which keep sensing dynamic contextual information. A true potential of the wide-spread of IoT devices can only be realized by designing and deploying a large number ...
متن کاملPollen Recognition Using Multi-Layer Feature Decomposition
We propose a method for recognizing pollen types from images. Unlike other methods that measure visual characteristics directly on the pollen image, our method decomposes the images into layers prior to performing feature extraction. The method measures texture and geometrical characteristics in each layer. We tested our method on 1,060 samples of 30 species of pollen. The same dataset is also ...
متن کاملEdge and Line Feature Extraction Based on Covariance Models
Image segmentation based on contour extraction usually involves three stages of image operations: feature extraction, edge detection and edge linking. This paper is devoted to the first stage: a method to design feature extractors used to detect edges from noisy and/or blurred images. The method relies on a model that describes the existence of image discontinuities (e.g. edges) in terms of cov...
متن کاملOptimal Secure Multi-Layer IoT Network Design
With the remarkable growth of the Internet and communication technologies over the past few decades, Internet of Things (IoTs) is enabling the ubiquitous connectivity of heterogeneous physical devices with software, sensors, and actuators. IoT networks are naturally multi-layer with the cloud and cellular networks coexisting with the underlaid device-todevice (D2D) communications. The connectiv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Systems and Software
سال: 2022
ISSN: ['0164-1212', '1873-1228']
DOI: https://doi.org/10.1016/j.jss.2021.111086