Abstract
Latency refers to the total time of completing a job. Since humans are slower than machines, sometimes even a simple job (e.g., labeling one thousand images) may take hours or even days to complete. Thus, another big challenge in crowdsourced data management is latency control, that is, how to reduce job completion time while still keeping good result quality as well as low cost.
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Bernstein, M.S., Brandt, J., Miller, R.C., Karger, D.R.: Crowds in two seconds: enabling realtime crowd-powered interfaces. In: UIST, pp. 33–42 (2011)
Faradani, S., Hartmann, B., Ipeirotis, P.G.: What’s the right price? pricing tasks for finishing on time. In: AAAI Workshop (2011)
Gao, Y., Parameswaran, A.G.: Finish them! Pricing algorithms for human computation. PVLDB 7(14), 1965–1976 (2014)
Haas, D., Wang, J., Wu, E., Franklin, M.J.: Clamshell: Speeding up crowds for low-latency data labeling. PVLDB 9(4), 372–383 (2015)
Sarma, A.D., Parameswaran, A.G., Garcia-Molina, H., Halevy, A.Y.: Crowd-powered find algorithms. In: ICDE, pp. 964–975 (2014)
Verroios, V., Lofgren, P., Garcia-Molina, H.: tdp: An optimal-latency budget allocation strategy for crowdsourced MAXIMUM operations. In: SIGMOD, pp. 1047–1062 (2015)
Yan, T., Kumar, V., Ganesan, D.: Crowdsearch: exploiting crowds for accurate real-time image search on mobile phones. In: MobiSys, pp. 77–90 (2010)
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Li, G., Wang, J., Zheng, Y., Fan, J., Franklin, M.J. (2018). Latency Control. In: Crowdsourced Data Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-7847-7_5
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DOI: https://doi.org/10.1007/978-981-10-7847-7_5
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