Speed-robust scheduling: sand, bricks, and rocks
Author:
Funder
deutsche forschungsgemeinschaft
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Link
https://link.springer.com/content/pdf/10.1007/s10107-022-01829-0.pdf
Reference18 articles.
1. Albers, S., Hellwig, M.: Online makespan minimization with parallel schedules. Algorithmica 78(2), 492–520 (2017). https://doi.org/10.1007/s00453-016-0172-5
2. Albers, S., Schmidt, G.: Scheduling with unexpected machine breakdowns. Discrete Appl. Math. 110(2–3), 85–99 (2001). https://doi.org/10.1016/s0166-218x(00)00266-3
3. Alon, N., Azar, Y., Woeginger, G.J., Yadid, T.: Approximation schemes for scheduling on parallel machines. J. Sched. 1(1), 55–66 (1998). https://doi.org/10.1002/(sici)1099-1425(199806)1:1<55::aid-jos2>3.0.co;2-j
4. Baruah, S.K., Bonifaci, V., D’Angelo, G., Li, H., Marchetti-Spaccamela, A., Megow, N., Stougie, L.: Scheduling real-time mixed-criticality jobs. IEEE Trans. Comput. 61(8), 1140–1152 (2012). https://doi.org/10.1109/tc.2011.142
5. Chen, L., Megow, N., Rischke, R., Stougie, L., Verschae, J.: Optimal algorithms for scheduling under time-of-use tariffs. Ann. Oper. Res. (2021). https://doi.org/10.1007/s10479-021-04059-3
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