A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
A survey on scheduling strategies for workflows in cloud environment and emerging trends
Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …
environment that focuses on satisfying various quality of service (QoS) constraints. The …
An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling
Y ** complexity and energy consumption …
StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides
Due to the rapid emergence of multi-drug resistant (MDR) bacteria, existing antibiotics are
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …
Security-aware dynamic scheduling for real-time optimization in cloud-based industrial applications
S Meng, W Huang, X Yin, MR Khosravi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Nowadays, large number of cloud-based techniques have been used in industrial control
systems (ICS), which also brings many security threats. The emergence of security-aware …
systems (ICS), which also brings many security threats. The emergence of security-aware …
An energy efficient algorithm for workflow scheduling in IAAS cloud
Energy efficient workflow scheduling is the demand of the present time's computing
platforms such as an infrastructure-as-a-service (IaaS) cloud. An appreciable amount of …
platforms such as an infrastructure-as-a-service (IaaS) cloud. An appreciable amount of …
Accelerating the discovery of antifungal peptides using deep temporal convolutional networks
The application of machine intelligence in biological sciences has led to the development of
several automated tools, thus enabling rapid drug discovery. Adding to this development is …
several automated tools, thus enabling rapid drug discovery. Adding to this development is …
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 …
A hybrid metaheuristic for multi-objective scientific workflow scheduling in a cloud environment
N Anwar, H Deng - Applied sciences, 2018 - mdpi.com
Cloud computing has emerged as a high-performance computing environment with a large
pool of abstracted, virtualized, flexible, and on-demand resources and services. Scheduling …
pool of abstracted, virtualized, flexible, and on-demand resources and services. Scheduling …