A WOA-based optimization approach for task scheduling in cloud computing systems

X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …

Progress-based container scheduling for short-lived applications in a kubernetes cluster

Y Fu, S Zhang, J Terrero, Y Mao, G Liu… - … Conference on Big …, 2019 - ieeexplore.ieee.org
In the past decade, we have envisioned enormous growth in the data generated by different
sources, ranging from weather sensors and customer purchasing records to Internet of …

Flowcon: Elastic flow configuration for containerized deep learning applications

W Zheng, M Tynes, H Gorelick, Y Mao… - Proceedings of the 48th …, 2019 - dl.acm.org
An increasing number of companies are using data analytics to improve their products,
services, and business processes. However, learning knowledge effectively from massive …

[PDF][PDF] Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications.

P Gupta, S Bhagat, DK Saini, A Kumar… - … Materials & Continua, 2022 - cdn.techscience.cn
In the next generation of computing environment e-health care services depend on cloud
services. The Cloud computing environment provides a real-time computing environment for …

Target-based resource allocation for deep learning applications in a multi-tenancy system

W Zheng, Y Song, Z Guo, Y Cui, S Gu… - 2019 IEEE High …, 2019 - ieeexplore.ieee.org
The neural-network based deep learning is the key technology that enables many powerful
applications, which include self-driving vehicles, computer vision, and natural language …

Hybrid optimization model for secure task scheduling in cloud: combining seagull and black widow optimization

G Verma - Cybernetics and Systems, 2022 - Taylor & Francis
Task scheduling is the act of allocating tasks in a certain way to make the best use of the
resources at hand. Users of the service must make their demands online since cloud …

Hpks: High performance kubernetes scheduling for dynamic blockchain workloads in cloud computing

Z Shi, C Jiang, L Jiang, X Liu - 2021 IEEE 14th International …, 2021 - ieeexplore.ieee.org
Emerging blockchain technologies have been increasingly popular and reforming our daily
lives. Fusing blockchain technology with existing cloud systems has a great benefits in both …

Fault aware hybrid harmony search technique for optimal resource allocation in cloud

P Gupta, S Bhagat, P Rawat - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
The evolution of cloud computing is increasing exponentially which provides everything as a
service. Clouds made it possible to move a huge amount of data over the networks on …

Efficient resource management for deep learning applications with virtual containers

W Zheng - 2020 - search.proquest.com
The explosion of data has transformed the world since much more information is available
for collection and analysis than ever before. To extract valuable information from the data in …

Iterative Qubits Management for Quantum Search

W Mu - 2022 - search.proquest.com
Recent advances in quantum computing systems attract tremendous attention. Commercial
companies, such as IBM, Amazon, and IonQ, have started to provide access to noisy …