Resource Management for Cloud-Edge Computing

Author: CHEN Xing, LIN Bin, CHEN Zheyi

ISBN:9787302625551

Date of publication:2023.07.01

With the rapid development of communication technology, hardware technology, and the widespread application of mobile devices, resource management issues in cloud computing and edge computing have aroused much concern in both the industry and academic community. To satisfy relevant researchers’ needs for reference, the authors have compiled Resource Management for Cloud-Edge Computing. This book primarily introduces theories and research related to resource management for cloud-edge collaborative, helping readers understand the issues and solutions for resource management for cloud-edge collaboration. Resource Management for Cloud-Edge Computing presents the following theories, technologies, and applications: cloud computing, edge computing, cloud-edge collaboration, resource management en...

Deep Reinforcement Learning – Collaborative Adaptive Scheduling Theory and Application of Task and Virtual Resources in Cloud Computing

Author: PENG Zhiping

ISBN:9787302617389

Date of publication:2023.07.01

This book focuses on two key steps in the execution process of cloud workflows: cloud workflow task assignment and virtual resource provisioning. It investigates the theoretical problems, key technologies, and methods for collaborative, adaptive multi-workflow scheduling in a cloud computing environment with containers as a new type of virtualization unit. This aims to balance the interests of both cloud service supply and demand sides while ensuring the fulfillment of user service level agreements. The research team of this book has long been engaged in foundational theoretical and applied research in fields such as key technologies of cloud computing, machine learning algorithms, and multi-agent systems.

Power of Matrix

Author: JIANG Weisheng

ISBN:9787302632511

Date of publication:2023.06.01

Data science and machine learning have deeply integrated into various aspects of our lives, and mathematics is the key to unlocking the door to the future. Not everyone is born with a good hand, but mastering "mathematics + programming + machine learning" is definitely a trump card. This time, learning mathematics is no longer just for exams, grades, or further education, but an investment in time, self-realization, and future-oriented. In order to make everyone learn and even fall in love with mathematics, the author of this book series tries to overcome the various drawbacks of traditional mathematical textbooks, making the learning process interesting, understandable, thought-provoking, more confident, and applicable. The book series is divided into three main sections: programming, ma...

The History of Ancient Chinese Music for Children Volume 2

Author: WAN Li

ISBN:9787302630791

Date of publication:2023.06.01

The book talks about everything about music from the ancient to the Northern and Southern dynasties, encompassing singing, dancing, musical instruments, musicians, musical scores, and the functions of music... Readers can understand the profound and extensive music culture of China from scratch. The book is an integration of logic and enjoyment, theory and practicality, as well as academic reading and aesthetic reading. It guides everyone on a journey to listen to the music and stories of ancient China.

Elements of Mathematics

Author: JIANG Weisheng

ISBN:9787302628507

Date of publication:2023.06.01

Data science and machine learning have deeply integrated into various aspects of our lives, and mathematics is the key to unlocking the door to the future. Not everyone is born with a good hand, but mastering "mathematics + programming + machine learning" is definitely a trump card. This time, learning mathematics is no longer just for exams, grades, or further education, but an investment in time, self-realization, and future-oriented. In order to make everyone learn and even fall in love with mathematics, the author of this book tries to overcome the various drawbacks of traditional mathematical textbooks, making the learning process interesting, understandable, thought-provoking, more confident, and applicable. This book breaks through the barriers between different mathematical fields...

Quantum AI

Author: JIN Xianmin, HU Junjie

ISBN:9787302619192

Date of publication:2023.06.01

This book is designed to build quantum AI applications in a way that is friendly to deep learning enthusiasts. The book consists of 13 chapters. Chapters 1 and 2 systematically introduce the development processes of quantum computers and the basics of quantum computing programming. Chapters 3 to 7 cover various deep learning methods and ways to construct quantum-inspired algorithms on these algorithm logics, utilizing phases in quantum circuits as learnable parameters for neural networks and reconstructing them into quantum neural network operators. Chapters 8 and 9 delve into advanced quantum AI knowledge, explaining feasible evaluation methods for different quantum algorithms and the operationalization of quantum neural networks based on Torch.Script. Chapters 10 to 13 introduce possible...
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