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2020 – today
- 2024
[c70]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Topological data analysis on noisy quantum computers. ICLR 2024- [i17]Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero
, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh:
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR abs/2401.13754 (2024) - [i16]Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru:
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes. CoRR abs/2404.17959 (2024) - [i15]Weiqin Chen, Mark S. Squillante, Chai Wah Wu, Santiago Paternain:
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms. CoRR abs/2406.14753 (2024) - 2023
- [j82]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
On the control of density-dependent stochastic population processes with time-varying behavior. Autom. 153: 111023 (2023) - [j81]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023). SIGMETRICS Perform. Evaluation Rev. 51(2): 2 (2023) - [j80]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
Markov Decision Process Framework for Control-Based Reinforcement Learning. SIGMETRICS Perform. Evaluation Rev. 51(2): 39-41 (2023) - [c69]Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh:
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC 2023: 1-7 - [i14]Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojtek Szpankowski, Chai Wah Wu, Mark S. Squillante, Alexander Gray:
Towards a Unification of Logic and Information Theory. CoRR abs/2301.10414 (2023) - [i13]Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff:
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR abs/2306.04901 (2023) - [i12]Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh:
Stable iterative refinement algorithms for solving linear systems. CoRR abs/2309.07865 (2023) - [i11]Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante:
Obtaining Explainable Classification Models using Distributionally Robust Optimization. CoRR abs/2311.01994 (2023) - 2022
- [j79]Mark S. Squillante:
On the quantum entanglement of random walks and queueing systems. Queueing Syst. Theory Appl. 100(3-4): 253-255 (2022) - [j78]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021). SIGMETRICS Perform. Evaluation Rev. 49(2): 2 (2022) - [j77]Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Robust Optimization. SIGMETRICS Perform. Evaluation Rev. 49(2): 39-41 (2022) - [j76]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022). SIGMETRICS Perform. Evaluation Rev. 50(2): 11 (2022) - [j75]Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh:
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. SIGMETRICS Perform. Evaluation Rev. 50(2): 42-44 (2022) - [j74]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches. IEEE Trans. Autom. Control. 67(8): 4272-4277 (2022) - [c68]Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. AISTATS 2022: 3794-3820 - [c67]Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh:
Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP 2022: 5543-5547 - [c66]Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong:
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS 2022 - [c65]Soumyadip Ghosh, Mark S. Squillante:
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. WSC 2022: 2294-2305 - [i10]Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. CoRR abs/2202.11685 (2022) - [i9]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Towards Quantum Advantage on Noisy Quantum Computers. CoRR abs/2209.09371 (2022) - 2021
- [c64]Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC 2021: 1-7 - [c63]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
Efficient Generalization with Distributionally Robust Learning. NeurIPS 2021: 28310-28322 - [c62]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
On Solving Distributionally Robust Optimization Formulations Efficiently. WSC 2021: 1-12 - [i8]Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR abs/2107.06973 (2021) - [i7]Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh:
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR abs/2108.02811 (2021) - 2020
- [j73]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020). SIGMETRICS Perform. Evaluation Rev. 48(2): 2 (2020) - [j72]Yingdong Lu, Mark S. Squillante, Tonghoon Suk:
Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 48(2): 36-38 (2020) - [j71]Yingdong Lu, Mark S. Squillante, Tonghoon Suk:
Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs. SIGMETRICS Perform. Evaluation Rev. 48(3): 122-127 (2020) - [c61]Nian Si, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante:
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. NeurIPS 2020 - [i6]Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Distributionally Robust Learning. CoRR abs/2012.12367 (2020)
2010 – 2019
- 2019
- [j70]Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante:
Revisiting Stochastic Loss Networks: Structures and Approximations. Math. Oper. Res. 44(3): 890-918 (2019) - [j69]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2019). SIGMETRICS Perform. Evaluation Rev. 47(2): 2 (2019) - [c60]Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel:
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML 2019: 6727-6736 - [c59]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
A Family of Robust Stochastic Operators for Reinforcement Learning. NeurIPS 2019: 15626-15636 - [i5]Brendan Patch, Mark S. Squillante, Peter M. van de Ven:
Optimisation of stochastic networks with blocking: a functional-form approach. CoRR abs/1904.05040 (2019) - [i4]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
A Control-Model-Based Approach for Reinforcement Learning. CoRR abs/1905.12009 (2019) - 2018
- [j68]Mark S. Squillante, Peter M. van de Ven:
Max-weight scheduling across multiple timescales. Oper. Res. Lett. 46(2): 245-250 (2018) - [j67]Mark S. Squillante:
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2018). SIGMETRICS Perform. Evaluation Rev. 46(2): 2 (2018) - [j66]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
On Min-Max Optimization Over Large Data Sets. SIGMETRICS Perform. Evaluation Rev. 46(2): 45-47 (2018) - [c58]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. ACC 2018: 3804-3809 - [c57]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits. ACC 2018: 6602-6607 - [i3]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
A General Family of Robust Stochastic Operators for Reinforcement Learning. CoRR abs/1805.08122 (2018) - [i2]Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega:
Efficient Stochastic Gradient Descent for Distributionally Robust Learning. CoRR abs/1805.08728 (2018) - [i1]Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel:
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR abs/1812.08329 (2018) - 2017
- [j65]A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante:
Optimal Resource Capacity Management for Stochastic Networks. Oper. Res. 65(1): 221-241 (2017) - [j64]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior. SIGMETRICS Perform. Evaluation Rev. 45(2): 48-50 (2017) - [j63]Yingdong Lu, Mark S. Squillante, Chai Wah Wu:
Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits. SIGMETRICS Perform. Evaluation Rev. 45(3): 160-166 (2017) - [j62]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, X. Wu:
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 45(3): 217-223 (2017) - [c56]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu:
On optimal portfolios of dynamic resource allocations. ACC 2017: 2447-2452 - 2016
- [j61]David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. Math. Oper. Res. 41(3): 898-913 (2016) - [j60]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu:
Risk-Based Dynamic Allocation of Computing Resources. SIGMETRICS Perform. Evaluation Rev. 44(2): 27-29 (2016) - [j59]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
Delay-Optimal Scheduling for Some Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 44(2): 45-47 (2016) - [c55]Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh:
Accelerating splitting algorithms for power grid reliability estimation. WSC 2016: 1757-1768 - [c54]Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante:
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. WSC 2016: 1769-1780 - 2015
- [j58]Danilo Ardagna, Mark S. Squillante:
Special Issue on Performance and Resource Management in Big Data Applications. SIGMETRICS Perform. Evaluation Rev. 42(4): 2 (2015) - [j57]Yingdong Lu, Mark S. Squillante, Chai Wah Wu, Bo Zhang:
On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior? SIGMETRICS Perform. Evaluation Rev. 43(2): 78-80 (2015) - [c53]Maialen Larrañaga, Onno J. Boxma, R. Núñez Queija, Mark S. Squillante:
Efficient Content Delivery in the Presence of Impatient Jobs. ITC 2015: 73-81 - 2014
- [j56]Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Workforce management: Risk-based financial planning and capacity provisioning. IBM J. Res. Dev. 58(4) (2014) - [j55]Aliza R. Heching, Mark S. Squillante:
Optimal capacity management and planning in services delivery centers. Perform. Evaluation 80: 63-81 (2014) - [j54]David A. Goldberg, Dimitriy A. Katz, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Asymptotic optimality of constant capacity allocation policies for dynamic resource planning. SIGMETRICS Perform. Evaluation Rev. 42(2): 61-63 (2014) - [j53]Mark S. Squillante, Don Towsley, Sean Kenneth Barker:
Improving the scalability of search in networks through multiple random walks. SIGMETRICS Perform. Evaluation Rev. 42(2): 73-75 (2014) - 2013
- [j52]Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante:
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57(3/4): 2 (2013) - [j51]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Stochastic optimal control for a general class of dynamic resource allocation problems. SIGMETRICS Perform. Evaluation Rev. 41(2): 3-14 (2013) - [j50]Yingdong Lu, Mark S. Squillante, David D. Yao:
Asymptotics of a class of resource planning problems. SIGMETRICS Perform. Evaluation Rev. 41(3): 52-54 (2013) - [j49]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. SIGMETRICS Perform. Evaluation Rev. 41(3): 61-63 (2013) - [j48]Bernardetta Addis, Danilo Ardagna, Barbara Panicucci, Mark S. Squillante, Li Zhang:
A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms. IEEE Trans. Dependable Secur. Comput. 10(5): 253-272 (2013) - [c52]Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney:
Prescriptive Analytics for Allocating Sales Teams to Opportunities. ICDM Workshops 2013: 211-218 - [c51]Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante:
A two-phase approach for stochastic optimization of complex business processes. WSC 2013: 1856-1868 - [e4]Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David D. Yao:
Matrix-Analytic Methods in Stochastic Models, Seventh International Conference on Matrix Analytic Methods in Stochastic Models, MAM 2011, Columbia University, New York, NY, USA, 13-16 June 2011. Springer Proceedings in Mathematics & Statistics 27, Springer 2013, ISBN 978-1-4614-4908-9 [contents] - [e3]András Horváth, Peter Buchholz, Vittorio Cortellessa, Luca Muscariello, Mark S. Squillante:
7th International Conference on Performance Evaluation Methodologies and Tools, ValueTools '13, Torino, Italy, December 10-12, 2013. ICST/ACM 2013, ISBN 978-1-936968-48-0 [contents] - 2012
- [j47]Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney:
Sales-force performance analytics and optimization. IBM J. Res. Dev. 56(6): 8 (2012) - [j46]David K. George, Cathy H. Xia, Mark S. Squillante:
Exact-Order Asymptotic Analysis for Closed Queueing Networks. J. Appl. Probab. 49(2): 503-520 (2012) - [j45]Paul Barford, Sem C. Borst, Mark S. Squillante:
Editorial introduction. Queueing Syst. Theory Appl. 71(3): 243-245 (2012) - 2011
- [j44]Heng Cao, Jianying Hu, Chen Jiang, Tarun Kumar, Ta-Hsin Li, Yang Liu, Yingdong Lu, Shilpa Mahatma, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante, Yichong Yu:
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. Interfaces 41(5): 414-435 (2011) - [j43]Petar Momcilovic, Mark S. Squillante:
Linear loss networks. Queueing Syst. Theory Appl. 68(2): 111-131 (2011) - [r2]Mark S. Squillante:
Affinity Scheduling. Encyclopedia of Parallel Computing 2011: 11-16 - [r1]Amol Ghoting, John A. Gunnels, Mark S. Squillante:
Massive-Scale Analytics. Encyclopedia of Parallel Computing 2011: 1089-1095 - 2010
- [j42]Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante:
Performance management of IT services delivery. SIGMETRICS Perform. Evaluation Rev. 37(4): 50-57 (2010) - [j41]Yingdong Lu, Mark S. Squillante:
On approximations for multiple multidimensional stochastic knapsacks. SIGMETRICS Perform. Evaluation Rev. 38(2): 45-47 (2010) - [e2]Vishal Misra, Paul Barford, Mark S. Squillante:
SIGMETRICS 2010, Proceedings of the 2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, New York, New York, USA, 14-18 June 2010. ACM 2010, ISBN 978-1-4503-0038-4 [contents] - [e1]Alan Adamson, Andre B. Bondi, Carlos Juiz, Mark S. Squillante:
Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, San Jose, California, USA, January 28-30, 2010. ACM 2010, ISBN 978-1-60558-563-5 [contents]
2000 – 2009
- 2009
- [j40]Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Improved approximations for the Erlang loss model. Queueing Syst. Theory Appl. 63(1-4): 217-239 (2009) - [j39]Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Improved Approximations for Stochastic Loss Networks. SIGMETRICS Perform. Evaluation Rev. 37(2): 45-47 (2009) - [c50]Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic:
A framework for combined bayesian analysis and optimization for services delivery. SOLI 2009: 382-387 - 2008
- [j38]Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam, Natarajan Gautam:
Generalized parallel-server fork-join queues with dynamic task scheduling. Ann. Oper. Res. 160(1): 227-255 (2008) - [j37]Petar Momcilovic, Mark S. Squillante:
On throughput in stochastic linear loss networks. SIGMETRICS Perform. Evaluation Rev. 36(2): 125-127 (2008) - [j36]A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante:
Capacity optimization in feedforward Brownian networks. SIGMETRICS Perform. Evaluation Rev. 36(2): 137-139 (2008) - [c49]Petar Momcilovic, Mark S. Squillante:
On throughput in linear wireless networks. MobiHoc 2008: 199-208 - [c48]Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante:
Revisiting stochastic loss networks: structures and algorithms. SIGMETRICS 2008: 407-418 - 2007
- [j35]Mark S. Squillante:
Stochastic analysis of multiserver systems. SIGMETRICS Perform. Evaluation Rev. 34(4): 44-51 (2007) - [j34]Mark S. Squillante:
Foreword. SIGMETRICS Perform. Evaluation Rev. 35(2): 2 (2007) - [j33]Yingdong Lu, Ana Radovanovic, Mark S. Squillante:
Optimal capacity planning in stochastic loss networks. SIGMETRICS Perform. Evaluation Rev. 35(2): 39-41 (2007) - [j32]Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante:
Scalability of wireless networks. IEEE/ACM Trans. Netw. 15(2): 295-308 (2007) - [c47]Sandeep Bhadra, Yingdong Lu, Mark S. Squillante:
Optimal capacity planning in stochastic loss networks with time-varying workloads. SIGMETRICS 2007: 227-238 - 2006
- [j31]Mark S. Squillante:
Foreword. SIGMETRICS Perform. Evaluation Rev. 34(3): 2 (2006) - [j30]Mohsen Bayati, Mayank Sharma, Mark S. Squillante:
Optimal scheduling in a multiserver stochastic network. SIGMETRICS Perform. Evaluation Rev. 34(3): 45-47 (2006) - [c46]Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante:
Buffer Scalability of Wireless Networks. INFOCOM 2006 - 2005
- [j29]Cathy H. Xia, Zhen Liu, Mark S. Squillante, Li Zhang, Naceur Malouch:
Web traffic modeling at finer time scales and performance implications. Perform. Evaluation 61(2-3): 181-201 (2005) - [j28]Mark S. Squillante:
Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005): guest editor's foreword. SIGMETRICS Perform. Evaluation Rev. 33(2): 2 (2005) - [j27]Yingdong Lu, Mark S. Squillante:
Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems. SIGMETRICS Perform. Evaluation Rev. 33(2): 42-44 (2005) - [c45]Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu:
Fundamentals of Dynamic Decentralized Optimization in Autonomic Computing Systems. Self-star Properties in Complex Information Systems 2005: 204-218 - 2004
- [j26]Soumyadip Ghosh, Mark S. Squillante:
Analysis and control of correlated web server queues. Comput. Commun. 27(18): 1771-1785 (2004) - [j25]Mark S. Squillante:
Guest editor's foreword. SIGMETRICS Perform. Evaluation Rev. 32(2): 2 (2004) - [j24]Xin Guo, Yingdong Lu, Mark S. Squillante:
Optimal probabilistic routing in distributed parallel queues. SIGMETRICS Perform. Evaluation Rev. 32(2): 53-54 (2004) - [j23]Jim Challenger, Paul Dantzig, Arun Iyengar, Mark S. Squillante, Li Zhang:
Efficiently serving dynamic data at highly accessed web sites. IEEE/ACM Trans. Netw. 12(2): 233-246 (2004) - [c44]Ramendra K. Sahoo, Anand Sivasubramaniam, Mark S. Squillante, Yanyong Zhang:
Failure Data Analysis of a Large-Scale Heterogeneous Server Environment. DSN 2004: 772- - [c43]Yanyong Zhang, Mark S. Squillante, Anand Sivasubramaniam, Ramendra K. Sahoo:
Performance Implications of Failures in Large-Scale Cluster Scheduling. JSSPP 2004: 233-252 - 2003
- [j22]Soumyadip Ghosh, Mark S. Squillante:
Revisiting correlations and scheduling in Web servers. SIGMETRICS Perform. Evaluation Rev. 31(2): 40-42 (2003) - [c42]Junxia Chang, Hayriye Ayhan, Jim G. Dai, Zhen Liu, Mark S. Squillante, Cathy H. Xia:
Optimal dynamic scheduling in a multiclass fluid model of Internet servers with transient overload. CDC 2003: 721-727 - [c41]