Truthful Online Scheduling with Commitments
Author:
Affiliation:
1. Blavatnik School of CS, Tel Aviv University, Tel Aviv, Israel
2. Microsoft Research, Cambridge, MA, USA
3. Microsoft Research, Redmond, WA, USA
4. Technion - Israel Institute of Technology, Haifa, Israel
Funder
Israeli Centers for Research Excellence
Technion-Microsoft Electronic Commerce Research Center
Israel Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2764468.2764535
Reference21 articles.
1. Aaron Archer and Éva Tardos. 2001. Truthful mechanisms for one-parameter agents. In FOCS. 482--491. Aaron Archer and Éva Tardos. 2001. Truthful mechanisms for one-parameter agents. In FOCS. 482--491.
2. Azure. 2015. Azure Machine Learning Pricing. http://azure.microsoft.com/en-us/pricing/details/machine-learning/. (2015). Azure. 2015. Azure Machine Learning Pricing. http://azure.microsoft.com/en-us/pricing/details/machine-learning/. (2015).
3. Bandwidth Allocation with Preemption
4. Deadline-aware scheduling of big-data processing jobs
5. Bounding the Power of Preemption in Randomized Scheduling
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