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Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022): Difference between revisions
Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022) (view source)
Revision as of 16:28, 11 September 2021
, 11 September 2021→List of Papers
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7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [https://dl.acm.org/doi/pdf/10.1145/3447548.3467070] | 7. Energy-Efficient 3D Vehicular Crowdsourcing For Disaster Response by Distributed Deep Reinforcement Learning [https://dl.acm.org/doi/pdf/10.1145/3447548.3467070] | ||
8. | 8. Reducing the Service Function Chain Backup Cost over the Edge and Cloud by a Self-Adapting Scheme [https://ieeexplore.ieee.org/document/9312434] | ||
9. Routing on Multiple Optimality Criteria[https://www.lx.it.pt/~jls/publications_ficheiros/RoutingMultipleOptimalCriteria.pdf] | |||
10. Understanding, Detecting and Localizing Partial Failures in Large System Software [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf] | |||
11. Understanding Lifecycle Management Complexity of Datacenter Topologies [https://www.cs.jhu.edu/~huang/paper/omegagen-nsdi20-preprint.pdf] | |||
==Schedule== | ==Schedule== | ||