Serverless Computing: Principles and Paradigms [E-Book] / edited by Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill, Rajkumar Buyya.
This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popula...
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| Personal Name(s): | Buyya, Rajkumar, editor |
| Gill, Sukhpal Singh, editor / Krishnamurthi, Rajalakshmi, editor / Kumar, Adarsh, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Cham :
Springer,
2023
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| Physical Description: |
X, 316 pages 64 illustrations, 40 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783031266331 |
| DOI: |
10.1007/978-3-031-26633-1 |
| Series Title: |
Lecture Notes on Data Engineering and Communications Technologies ;
162 |
| Subject (LOC): |
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This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services. |