A review on task scheduling techniques in cloud and fog computing: Taxonomy, tools, open issues, challenges, and future directions
Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …
centers. It became even more challenging with the emergence of 5G and IoT applications …
Task scheduling in fog environment—Challenges, tools & methodologies: A review
ZJK Abadi, N Mansouri, M Khalouie - Computer Science Review, 2023 - Elsevier
Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …
because of its slow response to existing requests, leading to the need for fog computing …
[HTML][HTML] DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments
Problem statement Nowadays, devices generate copious quantities of high-speed data
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
streams due to Internet of Things (IoT) applications. For the most part, cloud computing …
Eeoa: cost and energy efficient task scheduling in a cloud-fog framework
Cloud-fog computing is a wide range of service environments created to provide quick,
flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has …
flexible services to customers, and the phenomenal growth of the Internet of Things (IoT) has …
An autonomic workload prediction and resource allocation framework for fog-enabled industrial IoT
The Internet of Things (IoT) has revolutionized the industrial field with numerous facilities
and advancements. The industrial IoT system demands delay-aware workload execution …
and advancements. The industrial IoT system demands delay-aware workload execution …
Multi-objective discrete Cuckoo search algorithm for optimization of bag-of-tasks scheduling in fog computing environment
Abstract Internet of Things (IoT) applications are mostly time-sensitive and require reliable
executions. The majority of IoT applications experience low quality of service (QoS) because …
executions. The majority of IoT applications experience low quality of service (QoS) because …
An efficient meta-heuristic resource allocation with load balancing in IoT-Fog-cloud computing environment
Fog computing is considered a derivative of cloud computing that aims to reduce the huge
transmission latency and CPU time, as well as the overall cost of resource usage in the …
transmission latency and CPU time, as well as the overall cost of resource usage in the …
PGA: a new hybrid PSO and GA method for task scheduling with deadline constraints in distributed computing
K Shao, Y Song, B Wang - Mathematics, 2023 - mdpi.com
Distributed computing, eg, cluster and cloud computing, has been applied in almost all
areas for data processing, while high resource efficiency and user satisfaction are still the …
areas for data processing, while high resource efficiency and user satisfaction are still the …
Multi-objective cost-aware bag-of-tasks scheduling optimization model for IoT applications running on heterogeneous fog environment
Recently introduced by CISCO, the fog computing paradigm extends cloud-based
computing services near the Internet of Things (IoT) devices to serve their applications …
computing services near the Internet of Things (IoT) devices to serve their applications …
Independent task scheduling algorithms in fog environments from users' and service providers' perspectives: a systematic review
Fog computing has been touted as a solution for the massive growth in the need for
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …
processing Internet of Things (IoT) tasks efficiently by bringing resources closer to the edge …