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Group by: No Grouping | Item Type | Date | Language
Number of items: 11.

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, Cambridge University Press, pp. 647-671, 56, (3), DOI: 10.1017/jpr.2019.44,
[Online-Edition: https://www.cambridge.org/core/journals/journal-of-applied-p...],
[Article]

KhudaBukhsh, W. R. and Kar, S. and Koeppl, H. and Rizk, A. (2019):
Provisioning and Performance Evaluation of Parallel 1 Systems with Output Synchronization.
In: ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Association for Computing Machinery ACM, pp. Art. 6, 4, (1), ISSN 2376-3639,
[Online-Edition: https://dl.acm.org/citation.cfm?id=3300142],
[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, [Online-Edition: https://arxiv.org/abs/1612.05486],
[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, [Online-Edition: http://tubiblio.ulb.tu-darmstadt.de/84610/],
[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), [Article]

Conference or Workshop Item

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.
In: IEEE 86th Vehicular Technology Conference (VTC), Toronto, Canada, 24.-27. September 2017, [Conference or Workshop Item]

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, [Online-Edition: http://dl.acm.org/citation.cfm?id=3091320],
[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), In: IFIP International Conference on Networking, Wien, Austria, Mai 2016, [Online-Edition: http://dl.ifip.org/db/conf/networking/networking2016/1570236...],
[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), [Online-Edition: http://tubiblio.ulb.tu-darmstadt.de/83371/],
[Conference or Workshop Item]

Report

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.
Darmstadt, Technische Universität Darmstadt, In: Technical Report, [Online-Edition: http://www.bcs.tu-darmstadt.de/biocomm/people_1/phdstudents/...],
[Report]

This list was generated on Tue Nov 19 01:33:59 2019 CET.