[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …
from infrastructure to social media. Such system must cope with varying load and evolving …
Using the internet of things in smart energy systems and networks
Private businesses and policymakers are accelerating the deployment and advancement of
smart grid technology innovations that can support smart energy systems. Technological …
smart grid technology innovations that can support smart energy systems. Technological …
A comprehensive survey for scheduling techniques in cloud computing
Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …
of on demand request and heterogeneous nature of cloud resources. Cloud provides …
Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research
Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …
Scheduling in cloud manufacturing: state-of-the-art and research challenges
For the past eight years, cloud manufacturing as a new manufacturing paradigm has
attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to …
attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to …
Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey
Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …
IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning
The assets in Industry 4.0 are categorized into physical, virtual, and human. The innovation
and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags …
and popularization of ubiquitous computing enhance the usage of smart devices: RFID tags …
Q-learning based dynamic task scheduling for energy-efficient cloud computing
High energy consumption has become a growing concern in the operation of complex cloud
data centers due to the ever-expanding size of cloud computing facilities and the ever …
data centers due to the ever-expanding size of cloud computing facilities and the ever …