AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
A survey on deep learning for software engineering
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
Fog computing: A taxonomy, systematic review, current trends and research challenges
There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …
nodes and devices in our daily life in recent times. With this increase in the number of …
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 …
Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions
In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …
components, or application services, he needs to get a subscription for the same from …
A review of energy efficiency evaluation technologies in cloud data centers
S Long, Y Li, J Huang, Z Li, Y Li - Energy and Buildings, 2022 - Elsevier
The energy consumption by data centers is expanding in tandem with the rapid rise of the
digital economy. Data centers, as high-energy-consumption organizations, have garnered …
digital economy. Data centers, as high-energy-consumption organizations, have garnered …
Journey from cloud of things to fog of things: Survey, new trends, and research directions
A Chakraborty, M Kumar… - Software: Practice and …, 2023 - Wiley Online Library
With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …
Effectiveness review of the machine learning algorithms for scheduling in cloud environment
GU Srikanth, R Geetha - Archives of Computational Methods in …, 2023 - Springer
Cloud computing becomes rapid growing technology using virtualization and Service
Oriented Architecture (SOA), developed as one of the sought-after computing models. It is a …
Oriented Architecture (SOA), developed as one of the sought-after computing models. It is a …
Application of virtual machine consolidation in cloud computing systems
Cloud systems play a vital and significant role in our daily lives due to various internet
services. For instance, email services, social networks, and others. Consequently, their …
services. For instance, email services, social networks, and others. Consequently, their …