Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment
Given the increase diversity of smart devices and objectives of the application management
such as energy consumption, makespan users expect their requests to be responded to in …
such as energy consumption, makespan users expect their requests to be responded to in …
An evolutionary computing-based efficient hybrid task scheduling approach for heterogeneous computing environment
Task schedule optimization enables to attain high performance in both homogeneous and
heterogeneous computing environments. The primary objective of task scheduling is to …
heterogeneous computing environments. The primary objective of task scheduling is to …
[HTML][HTML] Workflow performance prediction based on graph structure aware deep attention neural network
With the rapid growth of cloud computing, efficient operational optimization and resource
scheduling of complex cloud business processes rely on real-time and accurate …
scheduling of complex cloud business processes rely on real-time and accurate …
An improved list-based task scheduling algorithm for fog computing environment
A high-performance execution of programs predominately depends on the efficient
scheduling of tasks. An application consists of a sequence of tasks that can be represented …
scheduling of tasks. An application consists of a sequence of tasks that can be represented …
An Analytical Review and Performance Measures of State-of-Art Scheduling Algorithms in Heterogenous Computing Enviornment
Task scheduling and resource utilization have always been among the most critical issues
for high performance in heterogeneous computing. The heterogeneity of computation costs …
for high performance in heterogeneous computing. The heterogeneity of computation costs …
Hybrid fuzzy-based deep remora reinforcement learning based task scheduling in heterogeneous multicore-processor
In recent times, heterogeneous multicore processors have played a critical role in many
applications because they provide better performance in adapting power constraints with …
applications because they provide better performance in adapting power constraints with …
A hybrid list-based task scheduling scheme for heterogeneous computing
Efficient task scheduling is required to attain high performance in both homogeneous and
heterogeneous computing systems. An application can be considered as a task grid …
heterogeneous computing systems. An application can be considered as a task grid …
HMDS: A makespan minimizing DAG scheduler for heterogeneous distributed systems
The problem of scheduling Directed Acyclic Graphs in order to minimize makespan
(schedule length), is known to be a challenging and computationally hard problem …
(schedule length), is known to be a challenging and computationally hard problem …
A hybrid algorithm for task scheduling on heterogeneous multiprocessor embedded systems
Most of the scheduling algorithms proposed for real-time embedded systems, with energy
constraints, try to reduce power consumption. However, reducing the power consumption …
constraints, try to reduce power consumption. However, reducing the power consumption …