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This chapter reviews several examples of how (machine and human) resources of a (mobile) crowd of people with separately owned devices can be pooled together and combined with a cloud computing mediating platform to form a type of crowd-powered system, or what we roughly call a crowd+cloud machine, to emphasise this combination between the two.
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Ahmad A. Alzahrani, Seng W. Loke, and Hongen Lu. An advanced location-aware physical annotation system: From models to implementation. J. Ambient Intell. Smart Environ., 6(1):71–91, January 2014.
S. Arif, S. Olariu, J. Wang, G. Yan, W. Yang, and I. Khalil. Datacenter at the airport: Reasoning about time-dependent parking lot occupancy. IEEE Transactions on Parallel and Distributed Systems, 23(11):2067–2080, Nov 2012.
Amin Bakhshandehabkenar, Seng W. Loke, and J. Wenny Rahayu. A framework for continuous group activity recognition using mobile devices: Concept and experimentation. In IEEE 15th International Conference on Mobile Data Management, MDM 2014, Brisbane, Australia, July 14-18, 2014 - Volume 2, pages 23–26, 2014.
Erin Brady and Jeffrey P. Bigham. Crowdsourcing accessibility: Human-powered access technologies. Found. Trends Hum.-Comput. Interact., 8(4):273–372, November 2015.
R. Chandra, S. Hodges, A. Badam, and J. Huang. Offloading to improve the battery life of mobile devices. IEEE Pervasive Computing, 15(4):5–9, Oct 2016.
Matt Duckham. Decentralized Spatial Computing: Foundations of Geosensor Networks. Springer Publishing Company, Incorporated, 2012.
N. Fernando, Seng W. Loke, and W. Rahayu. Computing with nearby mobile devices: a work sharing algorithm for mobile edge-clouds. IEEE Transactions on Cloud Computing, PP(99):1–1, 2016.
Niroshinie Fernando, Seng W. Loke, and Wenny Rahayu. Honeybee: A Programming Framework for Mobile Crowd Computing. In Proc. of the 9th Int. Conf. on Mobile and Ubiquitous Systems: Comp., Netw. and Serv. (MobiQuitous), pages 224–236, 2012.
Frank H.P. Fitzek and Marcos D. Katz. Mobile Clouds: Exploiting Distributed Resources in Wireless, Mobile and Social Networks. Wiley Publishing, 1st edition, 2014.
Tobias Franke, Paul Lukowicz, Martin Wirz, and Eve Mitleton-Kelly. Participatory sensing and crowd management in public spaces. In Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys ’13, pages 485–486, New York, NY, USA, 2013. ACM.
M. Gerla, E. K. Lee, G. Pau, and U. Lee. Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. In Internet of Things (WF-IoT), 2014 IEEE World Forum on, pages 241–246, March 2014.
Dawud Gordon. Group Activity Recognition Using Wearable Sensing Devices. PhD thesis, Karlsruhe Institute of Technology, 2014.
Bin Guo, Zhu Wang, Zhiwen Yu, Yu Wang, Neil Y. Yen, Runhe Huang, and Xingshe Zhou. Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm. ACM Comput. Surv., 48(1):7:1–7:31, August 2015.
Shaohan Hu, Lu Su, Hengchang Liu, Hongyan Wang, and Tarek F. Abdelzaher. Smartroad: Smartphone-based crowd sensing for traffic regulator detection and identification. ACM Trans. Sen. Netw., 11(4):55:1–55:27, July 2015.
Azhar Mohd Ibrahim, Ibrahim Venkat, K. G. Subramanian, Ahamad Tajudin Khader, and Philippe De Wilde. Intelligent evacuation management systems: A review. ACM Trans. Intell. Syst. Technol., 7(3):36:1–36:27, February 2016.
Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, and Rasmus Theodorsen. Crowds, bluetooth, and rock’n’roll: Understanding music festival participant behavior. In Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia, PDM ’13, pages 11–18, New York, NY, USA, 2013. ACM.
Walter S. Lasecki, Phyo Thiha, Yu Zhong, Erin Brady, and Jeffrey P. Bigham. Answering visual questions with conversational crowd assistants. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS ’13, pages 18:1–18:8, New York, NY, USA, 2013. ACM.
E. Lee, E. K. Lee, M. Gerla, and S. Y. Oh. Vehicular cloud networking: architecture and design principles. IEEE Communications Magazine, 52(2):148–155, February 2014.
Yazhi Liu, Jianwei Niu, and Xiting Liu. Comprehensive tempo-spatial data collection in crowd sensing using a heterogeneous sensing vehicle selection method. Personal Ubiquitous Comput., 20(3):397–411, June 2016.
Seng W. Loke. Heuristics for spatial finding using iterative mobile crowdsourcing. Hum.-centric Comput. Inf. Sci., 6(1):61:1–61:31, December 2016.
Seng W. Loke, Keegan Napier, Abdulaziz Alali, Niroshinie Fernando, and Wenny Rahayu. Mobile computations with surrounding devices: Proximity sensing and multilayered work stealing. ACM Trans. Embed. Comput. Syst., 14(2):22:1–22:25, February 2015.
Seng W. Loke and Batni Prabhanjan. Guidemate: a crowd-powered system to assist the disabled. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, UbiComp/ISWC Adjunct 2015, Osaka, Japan, September 7-11, 2015, pages 1379–1384, 2015.
Peter Lucas, Joe Ballay, and Mickey McManus. Trillions: Thriving in the Emerging Information Ecology. Wiley Publishing, 1st edition, 2012.
Sabrina Merkel. Building Evacuation with Mobile Devices. KIT Scientific Publishing, 2014. Available at http://www.ksp.kit.edu/9783731502074.
J. Phuttharak and S. W. Loke. Towards declarative programming for mobile crowdsourcing: P2p aspects. In 2014 IEEE 15th International Conference on Mobile Data Management, volume 2, pages 61–66, July 2014.
Layla Pournajaf, Daniel A. Garcia-Ulloa, Li Xiong, and Vaidy Sunderam. Participant privacy in mobile crowd sensing task management: A survey of methods and challenges. SIGMOD Rec., 44(4):23–34, May 2016.
Eduardo Quintana and Jesus Favela. Augmented reality annotations to assist persons with alzheimers and their caregivers. Personal and Ubiquitous Computing, 17(6):1105–1116, 2013. CrossRef
Moo-Ryong Ra, Bin Liu, Tom F. La Porta, and Ramesh Govindan. Medusa: A programming framework for crowd-sensing applications. In Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, MobiSys ’12, pages 337–350, New York, NY, USA, 2012. ACM.
Haggai Roitman, Jonathan Mamou, Sameep Mehta, Aharon Satt, and L.V. Subramaniam. Harnessing the crowds for smart city sensing. In Proceedings of the 1st International Workshop on Multimodal Crowd Sensing, CrowdSens ’12, pages 17–18, New York, NY, USA, 2012. ACM.
Adam Sadilek, John Krumm, and Eric Horvitz. Crowdphysics: Planned and opportunistic crowdsourcing for physical tasks. In Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013., 2013.
M. Satyanarayanan. The emergence of edge computing. Computer, 50(1):30–39, Jan 2017.
M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies. The case for vm-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4):14–23, Oct 2009.
M. Satyanarayanan, P. Simoens, Y. Xiao, P. Pillai, Z. Chen, K. Ha, W. Hu, and B. Amos. Edge analytics in the internet of things. IEEE Pervasive Computing, 14(2):24–31, Apr 2015.
W. Sherchan, P. P. Jayaraman, S. Krishnaswamy, A. Zaslavsky, S. Loke, and A. Sinha. Using on-the-move mining for mobile crowdsensing. In 2012 IEEE 13th International Conference on Mobile Data Management, pages 115–124, July 2012.
Lijun Sun, Kay W. Axhausen, Der-Horng Lee, and Xianfeng Huang. Understanding metropolitan patterns of daily encounters. Proceedings of the National Academy of Sciences, 110(34):13774–13779, 2013.
Jameson L. Toole, Yves-Alexandre de Montjoye, Marta C. González, and Alex (Sandy) Pentland. Modeling and Understanding Intrinsic Characteristics of Human Mobility, pages 15–35. Springer International Publishing, Cham, 2015.
Matteo Venanzi, Alex Rogers, and Nicholas R. Jennings. Crowdsourcing spatial phenomena using trust-based heteroskedastic gaussian processes. In Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013, November 7-9, 2013, Palm Springs, CA, USA, 2013.
Fusang Zhang, Beihong Jin, Tingjian Ge, Qiang Ji, and Yanling Cui. Who are my familiar strangers? revealing hidden friend relations and common interests from smart card data. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM ’16, pages 619–628, New York, NY, USA, 2016. ACM.
Wangsheng Zhang, Guande Qi, Gang Pan, Hua Lu, Shijian Li, and Zhaohui Wu. City-scale social event detection and evaluation with taxi traces. ACM Trans. Intell. Syst. Technol., 6(3):40:1–40:20, May 2015.
- Crowd+Cloud Machines
Seng W. Loke
- Chapter 2
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