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Social-distance aware data management for mobile computing

Abstract : The COVID-19 crisis has turned the world upside-down and many aspects of our social and daily lives need to be adapted. In this position paper, we argue that data management techniques for mobile computing scenarios also have to be extended for them to be useful and suited to the new situation. In particular, the concept of social distancing, which has been shown to be one of the most effective measures to cope with the virus expansion, should be incorporated as a natural component of many information services and applications for mobile users. We illustrate this idea with two example use cases: mobile recommender systems and information services for drivers. We outline current challenges and some ideas for future work.
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https://hal-uphf.archives-ouvertes.fr/hal-03381882
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Submitted on : Monday, October 18, 2021 - 9:23:27 AM
Last modification on : Tuesday, November 23, 2021 - 5:58:03 PM

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Sergio Ilarri, Raquel Trillo Lado, Thierry Delot. Social-distance aware data management for mobile computing. MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Nov 2020, Chiang Mai, Thailand. pp.138-142, ⟨10.1145/3428690.3429164⟩. ⟨hal-03381882⟩

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