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Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Cloud computing simulators: A comprehensive review
Nowadays, cloud computing is an emerging technology due to virtualization and providing
low price services on pay-as per-use basis. One of the main challenges in this regard is how …
low price services on pay-as per-use basis. One of the main challenges in this regard is how …
Multi-objective workflow scheduling with deep-Q-network-based multi-agent reinforcement learning
Y Wang, H Liu, W Zheng, Y **a, Y Li, P Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Cloud Computing provides an effective platform for executing large-scale and complex
workflow applications with a pay-as-you-go model. Nevertheless, various challenges …
workflow applications with a pay-as-you-go model. Nevertheless, various challenges …
Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
Workflow scheduling is a largely studied research topic in cloud computing, which targets to
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …
An effective cloud workflow scheduling approach combining PSO and idle time slot-aware rules
Y Wang, X Zuo - IEEE/CAA journal of automatica sinica, 2021 - ieeexplore.ieee.org
Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on genetic algorithm and deep reinforcement learning
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
A Belgacem, K Beghdad-Bey - Cluster Computing, 2022 - Springer
Recently, modern businesses have started to transform into cloud computing platforms to
deploy their workflow applications. However, scheduling workflow under resource allocation …
deploy their workflow applications. However, scheduling workflow under resource allocation …
[HTML][HTML] Cost and makespan-aware workflow scheduling in hybrid clouds
Benefiting from rich resources and virtualization technologies, hybrid cloud has emerged as
a promising solution to processing large-scale scientific workflow applications for users in a …
a promising solution to processing large-scale scientific workflow applications for users in a …
Mobility aware blockchain enabled offloading and scheduling in vehicular fog cloud computing
The development of vehicular Internet of Things (IoT) applications, such as E-Transport,
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …
Augmented Reality, and Virtual Reality are growing progressively. The mobility aware …
Energy-makespan optimization of workflow scheduling in fog–cloud computing
The rapid evolution of smart services and Internet of Things devices accessing cloud data
centers can lead to network congestion and increased latency. Fog computing, focusing on …
centers can lead to network congestion and increased latency. Fog computing, focusing on …