[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …
installed in residential buildings. If leveraged properly, that data could assist end-users …
IoT and big data applications in smart cities: recent advances, challenges, and critical issues
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …
challenged by numerous technological, economic, and governmental obstacles. Moreover …
Edge computing: current trends, research challenges and future directions
The edge computing (EC) paradigm brings computation and storage to the edge of the
network where data is both consumed and produced. This variation is necessary to cope …
network where data is both consumed and produced. This variation is necessary to cope …
Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …
infrastructures such as wireless access points to acquire intelligent services, has been …
Classification of optimization problems in fog computing
J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …
network edge to offer computational offloading possibilities to end devices, featuring low …
[HTML][HTML] Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion strategies for energy
efficiency in buildings, where various kinds of information can be processed. However …
efficiency in buildings, where various kinds of information can be processed. However …
Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet
A Asghari, MK Sohrabi - Computer Science Review, 2024 - Elsevier
The growing technology of the fifth generation (5G) of mobile telecommunications has led to
the special attention of cloud service providers (CSPs) to mobile cloud computing (MCC) …
the special attention of cloud service providers (CSPs) to mobile cloud computing (MCC) …
SecOFF-FCIoT: Machine learning based secure offloading in Fog-Cloud of things for smart city applications
Computation offloading is one of the important application in Internet of Things (IoT)
ecosystem. Computational offloading provides assisted means of processing large amounts …
ecosystem. Computational offloading provides assisted means of processing large amounts …
Multi-objective computation offloading for internet of vehicles in cloud-edge computing
Abstract The Internet of Vehicles (IoV) has gained worldwide attentions as it provides the
service of collecting real-time traffic information to improve the road safety. The IoV users …
service of collecting real-time traffic information to improve the road safety. The IoV users …
Task offloading in mobile fog computing by classification and regression tree
Fog computing (FC) as an extension of cloud computing provides a lot of smart devices at
the network edge, which can store and process data near end users. Because FC reduces …
the network edge, which can store and process data near end users. Because FC reduces …