Mobile Microservices: Building Flexible Pervasiv
举报
-
作者:
Nanxi,Chen
-
出版社:
人民邮电出版社
-
ISBN:
9787115584021
-
出版时间:
2022-04
-
版次:
1
-
装帧:
平装
-
开本:
16开
-
纸张:
胶版纸
-
页数:
228页
-
作者:
Nanxi,Chen
-
出版社:
人民邮电出版社
-
ISBN:
9787115584021
-
出版时间:
2022-04
-
版次:
1
-
装帧:
平装
售价
￥
69.00
4.6折
定价
￥149.00
品相
九五品
上书时间2024-03-29
卖家超过10天未登录
手机购买
![]()
微信扫码访问
-
-
商品描述：
-
基本信息
书名:Mobile Microservices: Building Flexible Pervasiv
定价：149.00元
作者:Nanxi,Chen
出版社：人民邮电出版社
出版日期：2022-04-01
ISBN：9787115584021
字数：
页码：228
版次：
装帧：平装
开本：16开
商品重量：
编辑推荐
作者长期专注泛在网络计算，曾深度参与我国多项5G相关的重要项目，发达国家的物联网应用项目；内容紧跟全球信息技术发展趋势，服务于5G、边缘计算和物联网应用融合的场景；将作者团队的特色理论贡献和工业实践相结合，对科研和工程有实用价值；补充了国内国际图书市场上5G和边缘计算场景中微服务方面理论作品的需求。
内容提要
This book focuses othe applicatiolevel aspects of microservices， and addresses the combinatioof microservices ipervasive computing environments.It introduces desigconcepts for pervasive applications with microservices， microservices deployment iedge/fog computing environments， microservice compositiomodel， cooperative microservices provisioning to improve the overall service availability， and aimplementatiocase study for microservices (GoCoMo).The book also evaluates how the proposed solutions fulfill the identified challenges and research questions ipervasive computing environments， summarizes the research presented， and provides a list of interesting opeissues that require further research.It caserve as a beneficial reference for researchers and engineers ithe area of edge computing， AIoT and 5G network applications. Graduated students iCS/EE areas will also find it useful.
目录
Chapter 1 Introductio1Chapter 2 DesigConcepts for Pervasive Applications 52 1 Motivating Scenario： A Smart Public Space 62 1 1 Challenges 92 1 2 Possible Solutions 112 2 Locating A Provider 142 2 1 Reactive Discovery 152 2 2 Proactive Discovery 162 2 3 Planning-based CompositioAnnouncement 182 3 Request Routing 212 3 1 Controlled Flooding 222 3 2 Directory-based 232 3 3 Overlay-based 252 3 4 Dynamic Controlled Flooding 262 4 CompositioPlanning 282 4 1 OpeService Discovery 282 4 2 Goal-oriented Planning 302 4 3 Decentralized Flexible Backward Planning 312 5 Service Binding 322 5 1 QoS-based Selectio332 5 2 Adaptable Binding 342 5 3 On-demand Binding 352 5 4 Path Reliability-driveSelectio352 5 5 Bind Microservices on-demand 362 6 Service Invocatio372 6 1 Fragments Distributio372 6 2 Process MigratioApproaches 382 6 3 Runtime Service Announcement 392 7 Fault Tolerance 402 7 1 Preventive Adaptatio402 7 2 CompositioRecovery 422 7 3 Local ExecutioPath Maintenance 432 8 Chapter Summary 44Chapter 3 Microservice Deployment iEdge/Fog Computing Environments 453 1 Edge Computing： Pervasive Applications' New Enabler 463 2 Features iEdge Computing Environments 483 2 1 Latency-sensitive 493 2 2 Mobility is Everywhere 493 2 3 Openness of Network Systems 503 2 4 Constantly Changing Environment 503 2 5 Limited Power Supply 513 3 Fog as a Service Model 513 4 Edge/Fog Computing Architecture 543 5 Fog Node Overlay Network 563 6 Hierarchical Microservices Management 573 6 1 Fog Services and Service Compositio573 6 2 Proxy Fog Nodes 583 6 3 Seamless Service Invocatio593 7 Adaptability at Edge 593 7 1 Monitoring Environmental Changes 613 7 2 AdaptatioAnalysis Based oDeep Learning 623 7 3 AdaptatioPlanning Based oReinforcement Learning 633 7 4 Strategy Executioand Knowledge Base Utilizatio633 7 5 Extensioof the MAPE-K Framework 643 8 Microservice Deployment and Dynamic Redeployment 653 9 Examples of Pervasive Applications at Edge 673 9 1 Mobile Video 673 9 2 Smart Home 683 9 3 Computational Offloading 693 10 OpeIssues to Edge-enabled Pervasive Applications 713 10 1 End-to-end Security 713 10 2 Distributed Runtime Management 713 10 3 Scalability and Reconfigurability 723 10 4 Predictive Fault Tolerance 733 10 5 Intelligent Edge Computing for 6G 733 11 Chapter Summary 74Chapter 4 Microservices CompositioModel 754 1 Microservice Model 784 2 Dynamic Goal-driveCompositioPlanning 794 2 1 Local Service Planning 844 2 2 Complex Service Flows 884 3 Heuristic Service Discovery 904 4 ExecutioFragments Selectioand Invocatio934 4 1 Microservice Composite Selectioand Invocatio944 4 2 Service Executioand Guidepost Adaptatio954 5 Discussions 974 5 1 Quantitative Analysis 974 5 2 Service Flows 994 5 3 Privacy and Security 994 5 4 Semantic Matchmaking 1004 5 5 High CompositioDemand 1004 6 Chapter Summary 101Chapter 5 Cooperative Microservices Provisioning 1035 1 Cooperative Caching and Selfish Caching 1055 1 1 Social Behaviours iCaching 1055 1 2 Social Selfishness of Service Providers 1065 2 Local Optimal Caching Algorithm with Social Selfishness 1065 3 Cooperative Devices 1075 4 Social Selfishnesased Utility 1085 4 1 Access AdmissioMechanism 1095 4 2 Social Group Utility Mechanism 1105 5 Service Deployment and Provisioning Game 1125 6 Optimal Local Service Deployment 1125 7 Chapter Summary 116Chapter 6 ImplementatioI： Service Middleware 1176 1 Service CompositioArchitecture 1186 2 Client and Provider 1216 2 1 Client Engine 1216 2 2 Microservices Provider 1236 3 Routing Controller 1256 4 Guidepost Manager 1256 4 1 Adapting a Guidepost 1266 4 2 Guidepost Data iService Executio1286 5 Message Helper 1286 6 Prototypes 1296 6 1 Prototype oAndroid 1296 6 2 Prototype ons-3 1316 7 ImplementatioSummary 132Chapter 7 ImplementatioII： Artificial Intelligence Services 1337 1 Service Provisioning Frameworks 1347 1 1 Spring Cloud 1357 1 2 Service Configuratio1367 1 3 Service Registratioat Edge 1377 1 4 Service Gateway 1397 2 Deploy AI Models 1417 2 1 Packed as a Microservice 1427 2 2 Microservice Deployment 1477 2 3 Platforms for AI Services 1507 3 Challenges for AI-based Services Compositio1517 3 1 Feature Heterogeneity 1517 3 2 High-dimensional Data 1527 3 3 Dynamic Raw Data 1527 4 ImplementatioSummary 152Chapter 8 Evaluatio1558 1 EvaluatioMethods and Criteria 1568 2 Prototype Case Study 1588 2 1 Case Study Configurations 1598 2 2 Samples and Results 1618 3 SimulatioStudies 1668 3 1 Environment Configurations 1668 3 2 Baseline Approach 1718 3 3 SimulatioResults and Analysis 1728 4 EvaluatioSummary 1888 4 1 Service Compositio1888 4 2 Cooperative Service Provisioning 189Chapter 9 Discussions and Conclusions 191Appendix A Further ImplementatioDetail： Prototypes 195A 1 GoCoMo App 196A 2 GoCoMo-ns3 199Appendix B EvaluatioResults' Validity 201B 1 CoopC and GoCoMo's Service Discovery Time 202B 2 CoopC and GoCoMo's Service Discovery Traffic 203B 3 CoopC and GoCoMo's Response Time 204B 4 CoopC and GoCoMo's CompositioTraffic 205Appendix C Glossary of Key Terms 207Bibliography 211
作者介绍
序言
![]()
孔网啦啦啦啦啦纺织女工火锅店第三课
开播时间：09月02日 10:30
即将开播，去预约
直播中，去观看
占位居中
