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| 1 | Mobile Web Augmented Reality in 5G and Beyond:Challenges, Opportunities, and Future Directions显示文摘The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep learning.However,the hardware-specific MAR is costly and heavy,and the App-based MAR requires an additional download and installation and it also lacks cross-platform ability.These limitations hamper the pervasive promotion of MAR.This paper argues that mobile Web AR(MWAR)holds the potential to become a practical and pervasive solution that can effectively scale to millions of end-users because MWAR can be developed as a lightweight,cross-platform,and low-cost solution for end-to-end delivery of MAR.The main challenges for making MWAR a reality lie in the low efficiency for dense computing in Web browsers,a large delay for real-time interactions over mobile networks,and the lack of standardization.The good news is that the newly emerging 5G and Beyond 5G(B5G)cellular networks can mitigate these issues to some extent via techniques such as network slicing,device-to-device communication,and mobile edge computing.In this paper,we first give an overview of the challenges and opportunities of MWAR in the 5G era.Then we describe our design and development of a generic service-oriented framework(called MWAR5)to provide a scalable,flexible,and easy to deploy MWAR solution.We evaluate the performance of our MWAR5 system in an actually deployed 5G trial network under the collaborative configurations,which shows encouraging results.Moreover,we also share the experiences and insights from our development and deployment,including some exciting future directions of MWAR over 5G and B5G networks. | Xiuquan Qiao Pei Ren Guoshun Nan Ling Liu Schahram Dustdar Junliang Chen | 2019 | China Communications2019，16，9： | 7 |
| 2 | Elastic Smart Contracts in Blockchains显示文摘In this paper,we deal with questions related to blockchains in complex Internet of Things(IoT)-based ecosystems.Such ecosystems are typically composed of IoT devices,edge devices,cloud computing software services,as well as people,who are decision makers in scenarios such as smart cities.Many decisions related to analytics can be based on data coming from IoT sensors,software services,and people.However,they are typically based on different levels of abstraction and granularity.This poses a number of challenges when multiple blockchains are used together with smart contracts.This work proposes to apply our concept of elasticity to smart contracts and thereby enabling analytics in and between multiple blockchains in the context of IoT.We propose a reference architecture for Elastic Smart Contracts and evaluate the approach in a smart city scenario,discussing the benefits in terms of performance and self-adaptability of our solution. | Schahram Dustdar Pablo Fernández JoséMaría García Antonio Ruiz-Cortés | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，12： | 3 |
| 3 | Guest Editorial for Special Issue on Cognitive Computing for Collaborative Robotics显示文摘Cognitive Computing breaks the boundary between two separate fields,neuroscience and computer science.It paves the way for machines to have reasoning abilities which is analogous to human.The research field of cognitive computing is interdisciplinary,and uses knowledge and methods from many areas such as psychology,biology,signal processing,physics,information theory,mathematics,and statistics.The development of cognitive computing will keep cross-fertilizing these research areas.However,in collaborative robotics applications there still remain many open problems for using cognitive computing theories.Technologies like computational cognition and perception(CCP)and computational neuroscience(CN)are driving as the best tools for upgrading the robots with near human intelligence,which can be intended to physically interact with humans in a shared workspace. | Huimin Lu Dongpu Cao Dacheng Tao Schahram Dustdar Pinhan Ho | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，7： | 2 |
| 4 | Service-oriented computing: state of the art and research challenges 显示文摘 | PAPAZOGLOU M P TRAVERSO P DUSTDAR S | 2007 | IEEE Computer2007，40，11： | 1 |
| 5 | A survey on context-aware systems显示文摘 | BALDAUF M DUSTDAR S ROSENBERG F | 2007 | International Journal of Ad Hoc and Ubiquitous Computing2007，2，4： | 1 |
| 6 | A survey on Web services composition显示文摘 | Dustdar S Schreiner W Schreiner W | 2005 | International Journal of Web and Grid Services2005，1，1： | 1 |
| 7 | Quality-aware service-oriented data inte- gration: requirements,state of the art and open challenges 显示文摘 | DUSTDAR S PICHLER R | 2012 | ACM $1GMOD Record2012，41，1： | 1 |
| 8 | Flexible social workflows: collaborations as human architecture显示文摘 | DORN C TAYLOR R N DUSTDAR S | 2012 | IEEE Internet Computing2012，16，2： | 1 |
| 9 | A survey on web services composition显示文摘 | DUSTDAR S SCHREINER W | | 0，，01： | 1 |
| 10 | A survey on Web Services composition显示文摘 | DUSTDAR S SCHREINER W | 2005 | International Journal of Web and Grid Services2005，1，1： | 1 |
| 11 | The view-based approach to dynamic inter-organizational workflow cooperation显示文摘 | Issam Chebbi Schahram Dustdar Samir Tata | 2005 | Data & Knowledge Engineering2005，，2： | 1 |
| 12 | Dynamic replication and synchronization of web services for high availability in mobile ad-hoc networks显示文摘 | Schahram Dustdar Lukasz Juszczyk | 2007 | Service Oriented Computing and Applications2007，，1： | 1 |
| 13 | Service-oriented computing:State of the art and research challenges显示文摘 | Papazoglou M P Traverso P Dustdar S | 2007 | IEEE Computer2007，2007，： | 1 |
| 14 | Service Oriented Computing:State of the Art and Research Challenges显示文摘 | Papazoglou M P Traverso P Dustdar S | 2007 | Compurer2007，40，11： | 1 |
| 15 | Service-oriented com-puting :state of the art and research challenges 显示文摘 | Papazoglou M P Traverso P Dustdar S | 2007 | IEEE Computer2007，，： | 1 |
| 16 | Services mashups: The new generation of web applications显示文摘 | BENSLIMANE D DUSTDAR S SHETH A | 2008 | In- ternet Computing IEEE2008，12，5： | 1 |
| 17 | A Survey on Web Services Composition显示文摘 | Dustdar S Schreiner W | 2005 | International Journal of Web and Grid Services2005，1，1： | 1 |
| 18 | A Survey on Context-Aware Systems显示文摘 | Baldauf M Dustdar S Rosenberg F | 2007 | International Journal of Ad Hoc and Ubiquitous Computing2007，2，4： | 1 |
| 19 | Services Mashups: the new generation of Web applications显示文摘 | BENSLIMANE D DUSTDAR S SHETH A | 2008 | IEEE Internet Computing2008，12，5： | 1 |
| 20 | A survey on web services composition显示文摘 | Dustdar S Sehreiner W | 2005 | International Journal of Web and Grid Services2005，1，1： | 1 |
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