.png){kind=icon}
返回
Cost-efficient Workflow as a Service using Containers
.png){kind=icon}
PRE
AI
DOI：10.1007/s10723-024-09745-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Workflows are special applications used to solve complex scientific problems. The emerging Workflow as a Service (WaaS) model provides scientists with an effective way of deploying their workflow applications in Cloud environments. The WaaS model can execute multiple workflows in a multi-tenant Cloud environment. Scheduling the tasks of the workflows in the WaaS model has several challenges. The scheduling approach must properly utilize the underlying Cloud resources and satisfy the users' Quality of Service (QoS) requirements for all the workflows. In this work, we have proposed a heurisine-sensitive workflows in a containerized Cloud environment for the WaaS model. We formulated the problem of minimizing the MIPS (million instructions per second) requirement of tasks while satisfying the deadline of the workflows as a non-linear optimization problem and applied the Lagranges multiplier method to solve it. It allows us to configure/scale the containers' resources and reduce costs. We also ensure maximum utilization of VM's resources while allocating containers to VMs. Furthermore, we have proposed an approach to effectively scale containers and VMs to improve the schedulability of the workflows at runtime to deal with the dynamic arrival of the workflows. Extensive experiments and comparisons with other state-of-the-art works show that the proposed approach can significantly improve resource utilization, prevent deadline violation, and reduce the cost of renting Cloud resources for the WaaS model.
Keyword:
Workflow
Cloud computing
Container
Deadline
Resource utilization
Resource scheduling
期刊
IF:
2.9
论文数:
763
被引数:
1.2K
机构
引用论文
.png){kind=icon}
Investigating equations for measuring dissolved inorganic nutrient uptake in oligotrophic conditions
OAAI
OAAI分享收藏An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations利用DVFS和近似计算的云计算系统中实时工作流应用程序的节能，QoS感知和经济高效的调度方法
PREAI
分享收藏Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment云服务环境下不确定性感知的实时工作流在线调度
PREAI
分享收藏
查看更多内容