東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Edge computing resilience = overcomi...

Zhai, Yanlong.

FindBook

Google Book

Amazon

博客來

Edge computing resilience = overcoming resource constraints in unstable computing environments /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Edge computing resilience/ by Yanlong Zhai, Muhammad Mudassar, Liehuang Zhu.
其他題名:	overcoming resource constraints in unstable computing environments /
作者:	Zhai, Yanlong.
其他作者:	Mudassar, Muhammad.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xx, 127 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Edge Computing -- Chapter 2. Scalability and Fault Tolerance for Real-Time Edge Applications -- Chapter 3. Resource-constrained Offloading in Edge Computing -- Chapter 4. Privacy Preserving Offloading -- Chapter 5. SDN-Based and Energy Aware Offloading -- Chapter 6. Optimization for Edge -- Chapter 7. FutureWork.
Contained By:	Springer Nature eBook
標題:	Edge computing. -
電子資源:	https://doi.org/10.1007/978-981-97-6998-8
ISBN:	9789819769988

Edge computing resilience = overcoming resource constraints in unstable computing environments /
Zhai, Yanlong.

Edge computing resilienceovercoming resource constraints in unstable computing environments /[electronic resource] :by Yanlong Zhai, Muhammad Mudassar, Liehuang Zhu. - Singapore :Springer Nature Singapore :2024. - xx, 127 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Chapter 1. Edge Computing -- Chapter 2. Scalability and Fault Tolerance for Real-Time Edge Applications -- Chapter 3. Resource-constrained Offloading in Edge Computing -- Chapter 4. Privacy Preserving Offloading -- Chapter 5. SDN-Based and Energy Aware Offloading -- Chapter 6. Optimization for Edge -- Chapter 7. FutureWork.

Edge computing has emerged as a powerful technology for efficiently executing tasks by pushing cloud computing capabilities to the edge of the network. This approach significantly improves the quality of services of IoT applications and greatly enhances the performance of resource-constraint edge devices. However, with the explosive growth in users and data generation, low-computing-capability devices often struggle to meet computation demands in time, posing a significant challenge to the success of edge computing. These challenges include latency requirements, low computational power, system heterogeneity, energy constraints and privacy issues. To address these challenges, it is critical to design robust edge computing systems. This book provides a systematic and comprehensive analysis of edge computing challenges and presents resilient designs and frameworks suitable for real-time edge computing applications. The discussion primarily focuses on overcoming resource constraints in unstable edge computing environments, which is achieved through various concepts and technologies, such as fault handling, optimization and computation offloading. The book is significant to researchers in the field of edge computing, especially in the context of the resource-constrained paradigm, IoT application execution in the edge and fog computing. The book features innovative models and frameworks for processing time-critical, energy-aware and privacy-aware applications. By reading this book, researchers and professionals will gain a deeper understanding of different technologies and frameworks for edge computing and develop an appreciation for edge computing resilience. This resilience makes the edge system robust against frequent system failures for real-time IoT applications. The book provides a foundation for future research in this field and is an essential read for those seeking to advance their knowledge and expertise in edge computing.

ISBN: 9789819769988

Standard No.: 10.1007/978-981-97-6998-8doiSubjects--Topical Terms:

3489844
Edge computing.

LC Class. No.: QA76.583 / .Z435 2024

Dewey Class. No.: 004.36

Edge computing resilience = overcoming resource constraints in unstable computing environments /
LDR:03417nmm a2200337 a 4500 001 2375487
003 DE-He213
005 20241007130223.0
006 m d
007 cr nn 008maaau
008 241231s2024 si s 0 eng d
020 $a 9789819769988 $q (electronic bk.)
020 $a 9789819769971 $q (paper)
024 7 $a 10.1007/978-981-97-6998-8 $2 doi
035 $a 978-981-97-6998-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.583 $b .Z435 2024
072 7 $a UMS $2 bicssc
072 7 $a COM051460 $2 bisacsh
072 7 $a UMS $2 thema
082 0 4 $a 004.36 $2 23
090 $a QA76.583 $b .Z63 2024
100 1 $a Zhai, Yanlong. $3 3725027
245 1 0 $a Edge computing resilience $h [electronic resource] : $b overcoming resource constraints in unstable computing environments / $c by Yanlong Zhai, Muhammad Mudassar, Liehuang Zhu.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xx, 127 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a Chapter 1. Edge Computing -- Chapter 2. Scalability and Fault Tolerance for Real-Time Edge Applications -- Chapter 3. Resource-constrained Offloading in Edge Computing -- Chapter 4. Privacy Preserving Offloading -- Chapter 5. SDN-Based and Energy Aware Offloading -- Chapter 6. Optimization for Edge -- Chapter 7. FutureWork.
520 $a Edge computing has emerged as a powerful technology for efficiently executing tasks by pushing cloud computing capabilities to the edge of the network. This approach significantly improves the quality of services of IoT applications and greatly enhances the performance of resource-constraint edge devices. However, with the explosive growth in users and data generation, low-computing-capability devices often struggle to meet computation demands in time, posing a significant challenge to the success of edge computing. These challenges include latency requirements, low computational power, system heterogeneity, energy constraints and privacy issues. To address these challenges, it is critical to design robust edge computing systems. This book provides a systematic and comprehensive analysis of edge computing challenges and presents resilient designs and frameworks suitable for real-time edge computing applications. The discussion primarily focuses on overcoming resource constraints in unstable edge computing environments, which is achieved through various concepts and technologies, such as fault handling, optimization and computation offloading. The book is significant to researchers in the field of edge computing, especially in the context of the resource-constrained paradigm, IoT application execution in the edge and fog computing. The book features innovative models and frameworks for processing time-critical, energy-aware and privacy-aware applications. By reading this book, researchers and professionals will gain a deeper understanding of different technologies and frameworks for edge computing and develop an appreciation for edge computing resilience. This resilience makes the edge system robust against frequent system failures for real-time IoT applications. The book provides a foundation for future research in this field and is an essential read for those seeking to advance their knowledge and expertise in edge computing.
650 0 $a Edge computing. $3 3489844
650 1 4 $a Mobile Computing. $3 3201332
650 2 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Internet of Things. $3 3538511
700 1 $a Mudassar, Muhammad. $3 3725028
700 1 $a Zhu, Liehuang. $3 1619828
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 1567571
856 4 0 $u https://doi.org/10.1007/978-981-97-6998-8
950 $a Professional and Applied Computing (SpringerNature-12059)