5G Edge Computing : Technologies, Applications and Future Visions |
Autore | Ma Xiao |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (209 pages) |
Disciplina | 005.758 |
Altri autori (Persone) |
XuMengwei
LiQing LiYuanzhe ZhouAo WangShangguang |
ISBN | 9789819702138 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- 1 Background -- 1.1 5G Network and Beyond -- 1.1.1 5G Service Requirements and Network Characteritics -- 1.1.2 6G Network Visions -- 1.1.2.1 Multiple Types of Mobile Communication -- 1.1.2.2 Reliable Low Latency with Mobile Broadband -- 1.1.2.3 Communication Integrated with Artificial Intelligence -- 1.2 Edge Computing -- 1.2.1 Concepts of Edge Computing -- 1.2.2 Edge Computing Standard Progress -- 1.2.3 Advancements of Public Edge Platforms -- 1.3 Key Technologies for Edge Computing in 5G and Beyond -- 1.3.1 Multi-edge Computation Offloading -- 1.3.2 Dynamic Workload Scheduling -- 1.3.3 Edge Caching -- 1.3.4 Edge Resource Provisioning -- 1.4 5G-based Edge Computing System and Edge Computing for 5G Beyond -- 1.4.1 5G-based Edge Computing System -- 1.4.2 Satellite Edge Computing -- 1.4.3 Space-Ground Integrated Computing Architecture in 5G Beyond -- References -- 2 Recent Advancements of Public Edge Platforms -- 2.1 Introduction -- 2.2 The NEP Edge Platform -- 2.3 Network Performance of NEP in Comparison to Public Clouds -- 2.3.1 End-to-End Network Latency -- 2.3.2 End-to-End Network Throughput -- 2.4 Application Performance of NEP in Comparison to Public Clouds -- 2.4.1 Cloud Gaming -- 2.4.2 Live Streaming -- 2.5 Workloads of NEP -- 2.5.1 Applications and VM Subscription -- 2.5.2 Overall Resource Usage -- 2.5.3 Resource Load Balance -- 2.6 Implications -- 2.7 Summary -- References -- 3 Edge Workload Prediction Based on Deep Learning -- 3.1 Introduction -- 3.2 Cloud-Edge Collaborated Edge Workload Prediction Framework -- 3.2.1 Framework Overview -- 3.2.2 Global Stage -- 3.2.3 Local Stage -- 3.3 Experimental Results -- 3.3.1 Experiment Settings -- 3.3.2 Experimental Results -- 3.3.2.1 Overall Performance -- 3.3.2.2 Time Overhead and Communication Cost -- 3.4 Summary -- References.
4 Edge Computing Based Computation Offloading -- 4.1 Introduction -- 4.2 Computation Offloading with Deterministic-QoS Guarantee -- 4.2.1 System Model -- 4.2.2 Problem Formulation -- 4.2.3 Algorithm Design and Complexity Analysis -- 4.3 Computation Offloading with Statistic-QoS Guarantee -- 4.3.1 Problem Formulation and Statistical QoS Guarantee Transition -- 4.3.2 Algorithm Design and Performance Analysis -- 4.4 Simulations Results -- 4.5 Summary -- References -- 5 Dynamic Workload Scheduling in Edge Computing -- 5.1 Introduction -- 5.2 Overview of ETSI Cloud-Edge-Device Architecture -- 5.3 Edge-Device Workload Scheduling (Mobile Computing Access Control) -- 5.3.1 Queuing Based Analytical Model -- 5.3.2 Problem Formulation -- 5.3.3 Convex Analysis -- 5.4 Cloud-Edge Workload Scheduling -- 5.4.1 System Model -- 5.4.2 Dynamic Problem Transformation and Performance Analysis -- 5.4.3 Computation Complex Analysis -- 5.5 Water-Filling based Centralized Workload Scheduling -- 5.6 Performance Analysis -- 5.7 Summary -- References -- 6 Edge Service Caching -- 6.1 Introduction -- 6.2 Static Caching -- 6.2.1 Service Placement -- 6.2.2 Jointly Service Placement and Workload Scheduling -- 6.2.2.1 Problem Formulation -- 6.2.2.2 Problem Analysis -- 6.2.3 Algorithm Design and Complexity Analysis -- 6.2.4 Simulation Results -- 6.3 Updated Caching -- 6.3.1 Age of Information -- 6.3.2 Joint Service Update and Computation Offloading -- 6.3.3 Algorithm Design and Complexity Analysis -- 6.3.3.1 Algorithm Design -- 6.3.3.2 Solving the Static Optimization Problem -- 6.3.4 Simulation Results -- 6.3.4.1 Simulation Setup -- 6.3.4.2 Computation Offloading Cost -- 6.3.4.3 Average AoI of Sensors -- 6.4 Summary -- References -- 7 Edge Resource Provisioning -- 7.1 Introduction -- 7.2 System Model -- 7.2.1 Resource Cost -- 7.2.2 Service Delay -- 7.2.3 Problem Analysis. 7.3 Edge Resource Provisioning with On-demand Cloud Instances -- 7.3.1 Optimal Usage of On-demand Cloud Instances -- 7.3.2 Optimal Edge Resource Capacity -- 7.4 Edge Resource Provisioning with Reserved Cloud Instances -- 7.4.1 Problem Analysis -- 7.4.2 Optimal Edge Resource Capacity and Usage of Reserved Cloud Instances -- 7.5 Edge Resource Provisioning with Hybrid Cloud Instances -- 7.6 Performance Analysis -- 7.7 Summary -- References -- 8 Edge Computing for 5G and 5G-based Mobile Edge Computing System -- 8.1 Introduction -- 8.2 5G-based MEC System -- 8.3 Seamless Service Migration in 5G-based Mobile Edge Computing -- 8.3.1 Background -- 8.3.2 Existing Service Migration Solutions -- 8.3.3 Seamless Service Migration Scheme for Immersive Services -- 8.3.4 Summary -- 8.4 Toward High-Profit Edge Server Placement in 5G-based Mobile Edge Computing -- 8.4.1 Background and Motivation -- 8.4.2 System Model and Problem Formulation -- 8.4.2.1 Access Delay -- 8.4.2.2 Energy Consumption -- 8.4.2.3 SLA Model -- 8.4.2.4 Problem Formulation -- 8.4.3 Edge Server Placement -- 8.4.3.1 Encoding Scheme -- 8.4.3.2 Edge Server Placement Algorithm -- 8.4.4 Performance Analysis -- 8.4.4.1 Experiment Setup -- 8.4.4.2 Benchmark Algorithms -- 8.4.4.3 Performance with Varying Maximum Delay -- 8.5 Summary -- References -- 9 Visions of Edge Computing in 6G -- 9.1 Introduction -- 9.2 Orbital Edge Computing -- 9.2.1 Rapid Proliferation of Low Earth Orbit Small Satellites -- 9.2.2 Potentials and Challenges of Orbital Edge Computing -- 9.3 Our Exploration Toward Edge Computing for 6G -- 9.3.1 Service Coverage in Orbital Edge Computing -- 9.3.1.1 Service Placement -- 9.3.1.2 Model of Service Coverage and Robustness -- 9.3.1.3 Problem Formulation -- 9.3.1.4 Algorithm Design -- 9.3.1.5 Simulation Results -- 9.3.2 Cognitive-Driven 6G Core Network Architecture. 9.3.2.1 Cognitive Service -- 9.3.2.2 The Architecture of Cognitive Service -- 9.3.3 A First Deployment of Edge Core Network on Satellites -- 9.3.3.1 Motivation -- 9.3.3.2 Architecture -- 9.3.3.3 Evaluation -- 9.3.4 Tiansuan: An Open Satellite-Terrestrial Integrated Platform for 6G -- 9.3.4.1 Overview -- 9.3.4.2 Operation Mechanism -- 9.3.4.3 Potential Spectrum of Experiments -- 9.3.4.4 Case Study -- 9.4 Summary -- References -- 10 Conclusions and Future Directions. |
Record Nr. | UNINA-9910855384903321 |
Ma Xiao
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Singapore : , : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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South Korean Migrants in China : An Ethnography of Education, Desire, and Temporariness / / Xiao Ma |
Autore | Ma Xiao |
Edizione | [First edition.] |
Pubbl/distr/stampa | Amsterdam : , : Amsterdam University Press B.V., , [2024] |
Descrizione fisica | 1 online resource (191 pages) |
Disciplina | 305.8957051 |
Collana | New Mobilities in Asia Series |
Soggetto topico | Koreans - China |
ISBN |
9789048553808
9789463726252 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Table of Contents -- Acknowledgements -- 1 Introduction -- Education as a Lens: Korean Migrants In-between Two States -- Educational Desire: Agency in Temporary Migration Regimes -- 'Foreigners', 'Immigrants' and Chinese Internationalisation -- 'Temporary Residents', 'Blood-kins' and Korean Globalisation -- A Multi-Scalar Ethnography -- 2 Temporary Residents' Community in Beijing -- Come and Leave: South Korean Migration to China From the 1990s Onwards -- Emergence, Development and Dispersal: the 'Koreatown(s)' in Beijing -- The Variation in Ethnic Incorporation -- Ethnic network -- Ethnic category -- Ethnic association -- Conclusion -- Bibliography -- 3 The Internationalised Education of China and the Globalise -- International Schools in China: Beijing as a Hub -- Internationalised Chinese Schools: Integration and Separation -- Internationalisation of Higher Education in China: Talent as a 'Profit' -- Overseas Korean Schools in China: The Patriotic and the Pragmatic -- The 'Education Exodus' of South Korea -- Conclusion -- 4 Educational Desire in School Choice: Identities of Home, Destination and the World -- 'Language Obsession': a Sino-centric Cosmopolitanism? -- International/Bilingual Education Fever: The Quest for Social Status -- Concerns About Chinese Schools: Undesirable Integration -- Anxiety About the Korean School: Home-oriented Cosmopolitanism -- Conclusion -- 5 Desirable Homecoming: The Pursuit of Tertiary Education in the Context of Temporary Migration Regimes -- Return Migration in the Asian Context -- 'Why not an American University?' -- The Motivation to Return Produced by Temporary Migration Regimes -- Prolonging Their Stay: Creating 'Eligible' Returnees from Overseas -- Hakkyo and Hagwŏn: Indispensable Intermediaries in Homeward Journeys -- Conclusion.
6 Internationalisation in Chinese Education: The Quest for Entry to a Top Chinese University -- Choosing to Stay: From 'Chibang' to Centre -- 'Good' and 'Bad' Students: The Desire to Enter Tsinghua and Beida -- 'High' and "Low' Thresholds: Desirable Students and the Internationalisation of Chinese Education -- Segregation and Integration: Korean Students at Chinese Schools -- Compliant and Canny Agents: A Bridging Service for Clueless Students and Chinese Universities -- Mr Kim and Changchun Guojibu -- Mr Paek and Ch'ingan Ipshihagwŏn -- 'Illegal' Ipshihagwŏn and 'Exemplary' Guojibu? -- Conclusion -- 7 Conclusion -- The People In-Between -- Temporary Migrants and Temporary Migration Regimes -- Desire as a Socio-Political Force in Migration -- Understanding Chinese Internationalisation -- Afterthoughts -- Bibliography -- Index -- List of Illustrations -- Figure 1 Number of South Korean Nationals in China (2005-2021). -- Figure 2 The 'Koreatown(s)' in Beijing. -- Figure 3 Wangjing Xiyuan Siqu. -- Figure 4 The Community Policing Studio in Wangjing Xiyuan Siqu. -- Figure 5 Seoul Sweet City in Yanjiao, Hebei Province. -- Figure 6 The 'Shrinking' Korean Businesses in Wangjing in 2019. -- Figure 7 A Korean-Chinese-Run Real Estate Agency in Wangjing. -- Figure 8 A Korean Business Cluster in a Residential Compound in Wangjing. -- Figure 9 A Lunch Break at One Bridge Class at Wangjing Experimental School. -- Figure 10 The Number of International Students in Chinese Higher Education Institutions (2003-2017). -- Figure 11 Number of Korean Students Studying Abroad (2000-2014). -- Figure 12 Attending a Parent-teacher Meeting at an International Bilingual School in Beijing. -- Figure 13 'Let's go to the world!'. -- Figure 14 Enrolled Student Number in KISB (Grade 1-12) in 2013 and 2014. -- Figure 15 White Envelopes Filled With One-month Tutoring Fees. Figure 16 Study Abroad Agencies (Yuhagwŏn) in Seoul. -- Figure 17 The Student Dormitory on Shilla Campus in Suburban Beijing. |
Record Nr. | UNINA-9910800124903321 |
Ma Xiao
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Amsterdam : , : Amsterdam University Press B.V., , [2024] | ||
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Lo trovi qui: Univ. Federico II | ||
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