[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
[HTML][HTML] Security and privacy concerns in cloud-based scientific and business workflows: A systematic review
Today, the number of data-intensive and compute-intensive applications like business and
scientific workflows has dramatically increased, which made cloud computing more popular …
scientific workflows has dramatically increased, which made cloud computing more popular …
Hybridization of firefly and improved multi-objective particle swarm optimization algorithm for energy efficient load balancing in cloud computing environments
Abstract Load balancing, in Cloud Computing (CC) environment, is defined as the method of
splitting workloads and computing properties. It enables the enterprises to manage workload …
splitting workloads and computing properties. It enables the enterprises to manage workload …
Lightweight cryptographic protocols for IoT-constrained devices: A survey
Internet of Things (IoT) is an emergent and evolving technology, interconnecting the cyber
and physical worlds. IoT technology finds applications in a broad spectrum of areas such as …
and physical worlds. IoT technology finds applications in a broad spectrum of areas such as …
Reliability-aware cost-efficient scientific workflows scheduling strategy on multi-cloud systems
X Tang - IEEE Transactions on Cloud Computing, 2021 - ieeexplore.ieee.org
Nowadays, more and more computation-intensive scientific applications with diverse needs
are migrating to cloud computing systems. However, the cloud systems alone cannot meet …
are migrating to cloud computing systems. However, the cloud systems alone cannot meet …
Real-time and dynamic fault-tolerant scheduling for scientific workflows in clouds
Cloud computing has become a popular technology for executing scientific workflows.
However, with a large number of hosts and virtual machines (VMs) being deployed, the …
However, with a large number of hosts and virtual machines (VMs) being deployed, the …
[HTML][HTML] A survey of domains in workflow scheduling in computing infrastructures: Community and keyword analysis, emerging trends, and taxonomies
L Versluis, A Iosup - Future generation computer systems, 2021 - Elsevier
Workflows are prevalent in today's computing infrastructures as they support many domains.
Different Quality of Service (QoS) requirements of both users and providers makes workflow …
Different Quality of Service (QoS) requirements of both users and providers makes workflow …
MCDS: AI augmented workflow scheduling in mobile edge cloud computing systems
Workflow scheduling is a long-studied problem in parallel and distributed computing (PDC),
aiming to efficiently utilize compute resources to meet user's service requirements. Recently …
aiming to efficiently utilize compute resources to meet user's service requirements. Recently …
Cooperative agents-based approach for workflow scheduling on fog-cloud computing
M Mokni, S Yassa, JE Hajlaoui, R Chelouah… - Journal of Ambient …, 2022 - Springer
Connected objects in the Internet of Things (IoT) domain are widespread everywhere. They
interact with each other and cooperate with their neighbors to achieve a common goal. Most …
interact with each other and cooperate with their neighbors to achieve a common goal. Most …
Process mining-based anomaly detection of additive manufacturing process activities using a game theory modeling approach
S Saraeian, B Shirazi - Computers & Industrial Engineering, 2020 - Elsevier
As a new production procedure Additive Manufacturing will present a time-effective
production system when adopted in distributed 3D printing mode. In this case, the distributed …
production system when adopted in distributed 3D printing mode. In this case, the distributed …