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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 …
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 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 …
FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks
Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment
Y **e, Y Zhu, Y Wang, Y Cheng, R Xu, AS Sani… - Future Generation …, 2019 - Elsevier
With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …
key driving force to provide computing resources, storage and network services closer to the …
Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions
In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …
components, or application services, he needs to get a subscription for the same from …
An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment
Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …
IPPTS: An efficient algorithm for scientific workflow scheduling in heterogeneous computing systems
Efficient scheduling algorithms are key for attaining high performance in heterogeneous
computing systems. In this article, we propose a new list scheduling algorithm for assigning …
computing systems. In this article, we propose a new list scheduling algorithm for assigning …
A deep reinforcement learning-based preemptive approach for cost-aware cloud job scheduling
With some specific characteristics such as elastics and scalability, cloud computing has
become the most promising technology for online business nowadays. However, how to …
become the most promising technology for online business nowadays. However, how to …
Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds
There have been a number of metaheuristic scheduling techniques for cloud described in
the literature, as well as their applications. The efficiency of metaheuristic techniques has …
the literature, as well as their applications. The efficiency of metaheuristic techniques has …