A survey on resource scheduling in cloud computing: Issues and challenges
Resource scheduling in cloud is a challenging job and the scheduling of appropriate
resources to cloud workloads depends on the QoS requirements of cloud applications. In …
resources to cloud workloads depends on the QoS requirements of cloud applications. In …
Towards metaheuristic scheduling techniques in cloud and fog: an extensive taxonomic review
Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …
The objective is to provide an optimal distribution of tasks among the resources. Several …
A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing
B Lin, F Zhu, J Zhang, J Chen, X Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …
A cost-effective deadline-constrained dynamic scheduling algorithm for scientific workflows in a cloud environment
Cloud computing, a distributed computing paradigm, enables delivery of IT resources over
the Internet and follows the pay-as-you-go billing model. Workflow scheduling is one of the …
the Internet and follows the pay-as-you-go billing model. Workflow scheduling is one of the …
Multi-objective task and workflow scheduling approaches in cloud computing: a comprehensive review
Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …
management and reducing power consumption in cloud computing data centers (DCs) …
A review of task scheduling based on meta-heuristics approach in cloud computing
Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …
computationally intensive applications. Cloud computing in this context describes a …
A survey on modeling and optimizing multi-objective systems
Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …
goal of attaining multiple objectives in the face of environmental challenges such as high …
Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities
Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired
workload balancing by pursuing optimal utilization of available resources. At the same time …
workload balancing by pursuing optimal utilization of available resources. At the same time …
Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues
Workflow scheduling in scientific computing systems is one of the most challenging
problems that focuses on satisfying user-defined quality of service requirements while …
problems that focuses on satisfying user-defined quality of service requirements while …
MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm
Cloud computing is emerging with growing popularity in workflow scheduling, especially for
scientific workflow. Deploying data-intensive workflows in the cloud brings new factors to be …
scientific workflow. Deploying data-intensive workflows in the cloud brings new factors to be …