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Number of items: 12.

KhudaBukhsh, W. R. and Kar, S. and Alt, B. and Rizk, A. and Koeppl, H. (2020):
Generalized Cost-Based Job Scheduling in Very Large Heterogenous Cluster Systems.
In: IEEE Transactions on Parallel and Distributed Systems (TPDS), 31 (11), pp. 2594-2604. IEEE, ISSN 1045-9219, e-ISSN 1045-9219,
DOI: 10.1109/TPDS.2020.2997771,
[Article]

KhudaBukhsh, W. R. and Auddy, A. and Disser, Y. and Koeppl, H. (2019):
Approximate Lumpability for Markovian Agent-based Models Using Local Symmetries.
In: Jounal of Applied Probability, 56 (3), pp. 647-671. Cambridge University Press, DOI: 10.1017/jpr.2019.44,
[Article]

KhudaBukhsh, W. R. and Kar, S. and Koeppl, H. and Rizk, A. (2019):
Provisioning and Performance Evaluation of Parallel Systems with Output Synchronization.
In: ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 4 (1), pp. Art. 6. ISSN 2376-3639,
DOI: 10.1145/3300142,
[Article]

Mousavi, Mahdi and Al Shatri, Hussein and KhudaBukhsh, W. R. and Koeppl, Heinz and Klein, Anja (2017):
Cross-Layer QoE-based Incentive Mechanism for Video Streaming in Multi-Hop Wireless Networks.
IEEE 86th Vehicular Technology Conference (VTC), Toronto, Canada, 24.-27. September 2017, [Conference or Workshop Item]

KhudaBukhsh, W. R. and Rizk, A. and Froemmgen, A. and Koeppl, H. (2017):
Optimizing Stochastic Scheduling in Fork-Join Queueing Models: Bounds and Applications.
In: Technical Program of IEEE INFOCOM 2017, IEEE, [Article]

KhudaBukhsh, W. R. and Rizk, A. and Froemmgen, A. and Koeppl, H. (2017):
Optimizing Stochastic Scheduling in Fork-Join Queueing Models: Bounds and Applications.
In: Technical Program of IEEE INFOCOM 2017, IEEE, [Article]

KhudaBukhsh, W. R. and Woroszylo, C. and Rempala, G. A. and Koeppl, H. (2017):
Functional Central Limit Theorem for Susceptible-Infected Process On Configuration Model Graphs.
In: Annals of Applied Probability (under review), 27, [Article]

Šošić, A. and KhudaBukhsh, W. R. and Zoubir, A. M. and Koeppl, H. (2017):
Inverse Reinforcement Learning in Swarm Systems.
In: AAMAS Workshop on Transfer in Reinforcement Learning, [Conference or Workshop Item]

Šošić, A. and KhudaBukhsh, W. R. and Zoubir, A. M. and Koeppl, H. (2017):
Inverse Reinforcement Learning in Swarm Systems (Best Paper Award Finalist).
In: International Conference on Autonomous Agents and Multiagent Systems, [Conference or Workshop Item]

KhudaBukhsh, W. R. and Rueckert, J. and Wulfheide, J. and Hausheer, D. and Koeppl, H. (2016):
Analysing and Leveraging Client Heterogeneity in Swarming-based Live Streaming.
In: IFIP International Conference on Networking (NETWORKING), pp. 386-394,
IFIP International Conference on Networking, Wien, Austria, Mai 2016, [Conference or Workshop Item]

KhudaBukhsh, W. R. and Rueckert, J. and Wulfheide, J. and Hausheer, D. and Koeppl, H. (2016):
Analysing and Leveraging Client Heterogeneity in Swarming-based Live Streaming.
pp. 386-394, IFIP International Conference on Networking (NETWORKING), [Conference or Workshop Item]

KhudaBukhsh, W. R. and Rueckert, J. and Wulfheide, J. and Hausheer, D. and Koeppl, H. KhudaBukhsh W. R. (Corporate Creator) (2015):
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogenieity.
In: Technical Report, Darmstadt, Technische Universität Darmstadt, [Report]

This list was generated on Sat Apr 10 01:44:23 2021 CEST.