Deadline‐constrained cost‐energy aware workflow scheduling in cloud
Nowadays, scientists are dealing with large‐scale scientific workflows that need a high
processing capacity platform to facilitate on‐time completion. Cloud computing is the ideal …
processing capacity platform to facilitate on‐time completion. Cloud computing is the ideal …
[PDF][PDF] Virtual Machine Based on Genetic Algorithm Used in Time and Power Oriented Cloud Computing Task Scheduling.
T Ma, S Pang, W Zhang, S Hao - Intelligent Automation & Soft …, 2019 - cdn.techscience.cn
In cloud computing, task scheduling is a challenging problem in cloud data center, and there
are many different kinds of task scheduling strategies. A good scheduling strategy can bring …
are many different kinds of task scheduling strategies. A good scheduling strategy can bring …
Duplication‐controlled static energy‐efficient scheduling on multiprocessor computing system
Energy‐efficient scheduling is a step towards meeting green computing requirements. The
work in this direction mainly aims at reducing dynamic energy consumption that includes …
work in this direction mainly aims at reducing dynamic energy consumption that includes …
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
A Jayanetti, S Halgamuge, R Buyya - ar**s with the highest frequency of servers so good? A case study on heterogeneous earliest finish time (HEFT) algorithm
In the current heterogeneous computing environment, scheduling strategies play a key role
in achieving high performance under current heterogeneous computing environment …
in achieving high performance under current heterogeneous computing environment …
J-OPT: A joint host and network optimization algorithm for energy-efficient workflow scheduling in cloud data centers
A Jayanetti, R Buyya - Proceedings of the 12th IEEE/ACM International …, 2019 - dl.acm.org
Workflows are a popular application model used for representing scientific as well as
commercial applications, and cloud data centers are increasingly used in the execution of …
commercial applications, and cloud data centers are increasingly used in the execution of …
Energy‐efficient task scheduling on heterogeneous computing systems by linear programming
Y Zhang, Y Wang, X Tang, X Yuan… - … : Practice and Experience, 2018 - Wiley Online Library
The continually increasing energy consumption represents a critical issue in modern
heterogeneous computing systems. With the aid of dynamic voltage frequency scaling …
heterogeneous computing systems. With the aid of dynamic voltage frequency scaling …
Constrained energy-cost-aware workflow scheduling for cloud environment
Nowadays, cloud computing providers offer to their users the computing resources that are
capable of operating on the CPU frequency in between minimum and maximum values. This …
capable of operating on the CPU frequency in between minimum and maximum values. This …
Simulative Analysis and Performance Evaluation for Data Variety Aware Power Optimization Technique Using Big Data
R Kumar - Wireless Personal Communications, 2023 - Springer
As advancements in technology domain have promoted with times, so have the amount of
data generated. The amount of this data is so volumetric, that mainstream techniques fail to …
data generated. The amount of this data is so volumetric, that mainstream techniques fail to …