Mark S. Squillante

184 papers A* 21A 6B 11C 9Misc 7Journal 107Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stable iterative refinement for solving linear systems with inaccurate computation.
J. Comput. Appl. Math.
Chai Wah Wu, Mark S. Squillante, Vassilis Kalantzis, Lior Horesh
2025 J jnl
Breaking through the classical Shannon entropy limit: A new frontier through logical semantics.
CoRR
Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojciech Szpankowski, Chai Wah Wu, Mark S. Squillante, Alexander Gray
2025 J jnl
Connecting Quantum Computing with Classical Stochastic Simulation.
CoRR
Jose H. Blanchet, Mark S. Squillante, Mario Szegedy, Guanyang Wang
2025 J jnl
On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2025 J jnl
Optimal weighted-delay scheduling in 2˟ 2 input-queued switches.
Queueing Syst. Theory Appl.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, Yi Yao
2025 — conf
Stable Iterative Solvers for Ill-Conditioned Linear Systems and Least Squares.
HPEC
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2025 J jnl
Stable Iterative Solvers for Ill-conditioned Linear Systems.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu
2024 J jnl
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms.
CoRR
Weiqin Chen, Mark S. Squillante, Chai Wah Wu, Santiago Paternain
2024 J jnl
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation.
CoRR
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
2024 J jnl
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes.
CoRR
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
2024 J jnl
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes.
SIGMETRICS Perform. Evaluation Rev.
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
2024 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2024).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2024 A* conf
Topological data analysis on noisy quantum computers.
ICLR
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2023 J jnl
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.
CoRR
Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff
2023 J jnl
Markov Decision Process Framework for Control-Based Reinforcement Learning.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2023 J jnl
Obtaining Explainable Classification Models using Distributionally Robust Optimization.
CoRR
Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante
2023 J jnl
On the control of density-dependent stochastic population processes with time-varying behavior.
Autom.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2023 — conf
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning.
HPEC
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
2023 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2023 J jnl
Stable iterative refinement algorithms for solving linear systems.
CoRR
Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
2023 J jnl
Towards a Unification of Logic and Information Theory.
CoRR
Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojciech Szpankowski, Chai Wah Wu, Mark S. Squillante, Alexander Gray
2022 A conf
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality.
AISTATS
Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2022 J jnl
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality.
CoRR
Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2022 A* conf
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
NeurIPS
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022 Misc conf
Decentralized Bilevel Optimization for Personalized Client Learning.
ICASSP
Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
2022 Misc conf
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making.
WSC
Soumyadip Ghosh, Mark S. Squillante
2022 J jnl
On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches.
IEEE Trans. Autom. Control.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2022 J jnl
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane.
SIGMETRICS Perform. Evaluation Rev.
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
2022 J jnl
On the quantum entanglement of random walks and queueing systems.
Queueing Syst. Theory Appl.
Mark S. Squillante
2022 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2022 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2022 J jnl
Towards Quantum Advantage on Noisy Quantum Computers.
CoRR
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2022 J jnl
Unbiased Gradient Estimation for Robust Optimization.
SIGMETRICS Perform. Evaluation Rev.
Soumyadip Ghosh, Mark S. Squillante
2021 A* conf
Efficient Generalization with Distributionally Robust Learning.
NeurIPS
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2021 Misc conf
On Solving Distributionally Robust Optimization Formulations Efficiently.
WSC
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2021 J jnl
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup.
CoRR
Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh
2021 — conf
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
HPEC
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
2021 J jnl
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
CoRR
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
2020 J jnl
Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
2020 J jnl
Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
2020 A* conf
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality.
NeurIPS
Nian Si, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
2020 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2020 J jnl
Unbiased Gradient Estimation for Distributionally Robust Learning.
CoRR
Soumyadip Ghosh, Mark S. Squillante
2019 J jnl
A Control-Model-Based Approach for Reinforcement Learning.
CoRR
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2019 A* conf
A Family of Robust Stochastic Operators for Reinforcement Learning.
NeurIPS
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2019 J jnl
Optimisation of stochastic networks with blocking: a functional-form approach.
CoRR
Brendan Patch, Mark S. Squillante, Peter M. van de Ven
2019 A* conf
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach.
ICML
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
2019 J jnl
Revisiting Stochastic Loss Networks: Structures and Approximations.
Math. Oper. Res.
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2019 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2019).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2018 J jnl
A General Family of Robust Stochastic Operators for Reinforcement Learning.
CoRR
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2018 C conf
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits.
ACC
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2018 J jnl
Efficient Stochastic Gradient Descent for Distributionally Robust Learning.
CoRR
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2018 J jnl
Max-weight scheduling across multiple timescales.
Oper. Res. Lett.
Mark S. Squillante, Peter M. van de Ven
2018 J jnl
On Min-Max Optimization Over Large Data Sets.
SIGMETRICS Perform. Evaluation Rev.
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
2018 C conf
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic.
ACC
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2018 J jnl
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach.
CoRR
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
2018 J jnl
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2018).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2017 J jnl
Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2017 J jnl
Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
2017 C conf
On optimal portfolios of dynamic resource allocations.
ACC
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
2017 J jnl
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, X. Wu
2017 J jnl
Optimal Resource Capacity Management for Stochastic Networks.
Oper. Res.
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
2016 Misc conf
Accelerating splitting algorithms for power grid reliability estimation.
WSC
Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh
2016 J jnl
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times.
Math. Oper. Res.
David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2016 Misc conf
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations.
WSC
Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante
2016 J jnl
Delay-Optimal Scheduling for Some Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
2016 J jnl
Risk-Based Dynamic Allocation of Computing Resources.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
2015 A conf
Efficient Content Delivery in the Presence of Impatient Jobs.
ITC
Maialen Larrañaga, Onno J. Boxma, R. Núñez Queija, Mark S. Squillante
2015 J jnl
On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior?
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, Chai Wah Wu, Bo Zhang
2015 J jnl
Special Issue on Performance and Resource Management in Big Data Applications.
SIGMETRICS Perform. Evaluation Rev.
Danilo Ardagna, Mark S. Squillante
2014 J jnl
Asymptotic optimality of constant capacity allocation policies for dynamic resource planning.
SIGMETRICS Perform. Evaluation Rev.
David A. Goldberg, Dimitriy A. Katz, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2014 J jnl
Improving the scalability of search in networks through multiple random walks.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante, Don Towsley, Sean Kenneth Barker
2014 J jnl
Optimal capacity management and planning in services delivery centers.
Perform. Evaluation
Aliza R. Heching, Mark S. Squillante
2014 J jnl
Workforce management: Risk-based financial planning and capacity provisioning.
IBM J. Res. Dev.
Yingdong Lu, Mayank Sharma, Mark S. Squillante
2013 — ed.
7th International Conference on Performance Evaluation Methodologies and Tools, ValueTools '13, Torino, Italy, December 10-12, 2013
VALUETOOLS
András Horváth, Peter Buchholz, Vittorio Cortellessa, Luca Muscariello, Mark S. Squillante
2013 J jnl
A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms.
IEEE Trans. Dependable Secur. Comput.
Bernardetta Addis, Danilo Ardagna, Barbara Panicucci, Mark S. Squillante, Li Zhang
2013 Misc conf
A two-phase approach for stochastic optimization of complex business processes.
WSC
Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante
2013 J jnl
Asymptotics of a class of resource planning problems.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante, David D. Yao
2013 — ed.
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.
MAM
Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David D. Yao
2013 — conf
Prescriptive Analytics for Allocating Sales Teams to Opportunities.
ICDM Workshops
Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney
2013 J jnl
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach.
SIGMETRICS Perform. Evaluation Rev.
Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
2013 J jnl
Stochastic optimal control for a general class of dynamic resource allocation problems.
SIGMETRICS Perform. Evaluation Rev.
Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
2013 J jnl
Trends and outlook for the massive-scale analytics stack.
IBM J. Res. Dev.
Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante
2012 J jnl
Editorial introduction.
Queueing Syst. Theory Appl.
Paul Barford, Sem C. Borst, Mark S. Squillante
2012 J jnl
Exact-Order Asymptotic Analysis for Closed Queueing Networks.
J. Appl. Probab.
David K. George, Cathy H. Xia, Mark S. Squillante
2012 J jnl
Sales-force performance analytics and optimization.
IBM J. Res. Dev.
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
2011 — ch.
Affinity Scheduling.
Encyclopedia of Parallel Computing
Mark S. Squillante
2011 J jnl
Linear loss networks.
Queueing Syst. Theory Appl.
Petar Momcilovic, Mark S. Squillante
2011 — ch.
Massive-Scale Analytics.
Encyclopedia of Parallel Computing
Amol Ghoting, John A. Gunnels, Mark S. Squillante
2011 J jnl
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains.
Interfaces
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
2010 J jnl
On approximations for multiple multidimensional stochastic knapsacks.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante
2010 J jnl
Performance management of IT services delivery.
SIGMETRICS Perform. Evaluation Rev.
Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante
2010 — ed.
Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, San Jose, California, USA, January 28-30, 2010
WOSP/SIPEW
Alan Adamson, Andre B. Bondi, Carlos Juiz, Mark S. Squillante
2010 A* ed.
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
SIGMETRICS
Vishal Misra, Paul Barford, Mark S. Squillante
2009 — conf
A framework for combined bayesian analysis and optimization for services delivery.
SOLI
Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic
2009 J jnl
Improved Approximations for Stochastic Loss Networks.
SIGMETRICS Perform. Evaluation Rev.
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2009 J jnl
Improved approximations for the Erlang loss model.
Queueing Syst. Theory Appl.
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
2008 J jnl
Capacity optimization in feedforward Brownian networks.
SIGMETRICS Perform. Evaluation Rev.
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
2008 J jnl
Generalized parallel-server fork-join queues with dynamic task scheduling.
Ann. Oper. Res.
Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam, Natarajan Gautam
2008 B conf
On throughput in linear wireless networks.
MobiHoc
Petar Momcilovic, Mark S. Squillante
2008 J jnl
On throughput in stochastic linear loss networks.
SIGMETRICS Perform. Evaluation Rev.
Petar Momcilovic, Mark S. Squillante
2008 A* conf
Revisiting stochastic loss networks: structures and algorithms.
SIGMETRICS
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2007 J jnl
Foreword.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2007 A* conf
Optimal capacity planning in stochastic loss networks with time-varying workloads.
SIGMETRICS
Sandeep Bhadra, Yingdong Lu, Mark S. Squillante
2007 J jnl
Optimal capacity planning in stochastic loss networks.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Ana Radovanovic, Mark S. Squillante
2007 J jnl
Scalability of wireless networks.
IEEE/ACM Trans. Netw.
Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante
2007 J jnl
Stochastic analysis of multiserver systems.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2006 A* conf
Buffer Scalability of Wireless Networks.
INFOCOM
Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante
2006 J jnl
Foreword.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2006 J jnl
Optimal scheduling in a multiserver stochastic network.
SIGMETRICS Perform. Evaluation Rev.
Mohsen Bayati, Mayank Sharma, Mark S. Squillante
2005 J jnl
Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems.
SIGMETRICS Perform. Evaluation Rev.
Yingdong Lu, Mark S. Squillante
2005 — conf
Fundamentals of Dynamic Decentralized Optimization in Autonomic Computing Systems.
Self-star Properties in Complex Information Systems
Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
2005 J jnl
Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005): guest editor's foreword.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2005 J jnl
Web traffic modeling at finer time scales and performance implications.
Perform. Evaluation
Cathy H. Xia, Zhen Liu, Mark S. Squillante, Li Zhang, Naceur Malouch
2004 J jnl
Analysis and control of correlated web server queues.
Comput. Commun.
Soumyadip Ghosh, Mark S. Squillante
2004 J jnl
Efficiently serving dynamic data at highly accessed web sites.
IEEE/ACM Trans. Netw.
Jim Challenger, Paul Dantzig, Arun Iyengar, Mark S. Squillante, Li Zhang
2004 A conf
Failure Data Analysis of a Large-Scale Heterogeneous Server Environment.
DSN
Ramendra K. Sahoo, Anand Sivasubramaniam, Mark S. Squillante, Yanyong Zhang
2004 J jnl
Guest editor's foreword.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2004 J jnl
Optimal probabilistic routing in distributed parallel queues.
SIGMETRICS Perform. Evaluation Rev.
Xin Guo, Yingdong Lu, Mark S. Squillante
2004 C conf
Performance Implications of Failures in Large-Scale Cluster Scheduling.
JSSPP
Yanyong Zhang, Mark S. Squillante, Anand Sivasubramaniam, Ramendra K. Sahoo
2003 A conf
Analysis of Task Assignment with Cycle Stealing under Central Queue.
ICDCS
Mor Harchol-Balter, Cuihong Li, Takayuki Osogami, Alan Scheller-Wolf, Mark S. Squillante
2003 B conf
Cycle stealing under immediate dispatch task assignment.
SPAA
Mor Harchol-Balter, Cuihong Li, Takayuki Osogami, Alan Scheller-Wolf, Mark S. Squillante
2003 — conf
Optimal dynamic scheduling in a multiclass fluid model of Internet servers with transient overload.
CDC
Junxia Chang, Hayriye Ayhan, Jian Gang Dai, Zhen Liu, Mark S. Squillante, Cathy H. Xia
2003 J jnl
Revisiting correlations and scheduling in Web servers.
SIGMETRICS Perform. Evaluation Rev.
Soumyadip Ghosh, Mark S. Squillante
2002 — conf
Analysis of Caching Mechanisms from Sporting Event Web Sites.
ASIAN
Zhen Liu, Mark S. Squillante, Cathy H. Xia, S. Yu, Li Zhang, Naceur Malouch, Paul Dantzig
2002 B conf
Analysis of measurement data from sporting event Web sites.
GLOBECOM
Zhen Liu, Mark S. Squillante, Cathy H. Xia, S.-Z. Yu, Li Zhang, Naceur Malouch, Paul Dantzig
2002 A* conf
Modeling and analysis of dynamic coscheduling in parallel and distributed environments.
SIGMETRICS
Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam, Natarajan Gautam, Hubertus Franke, José E. Moreira
2002 J jnl
Models of Parallel Applications with Large Computation and I/O Requirements.
IEEE Trans. Software Eng.
Emilia Rosti, Giuseppe Serazzi, Evgenia Smirni, Mark S. Squillante
2002 — conf
Optimal control of resource allocation in e-business environments with strict quality-of-service performance guarantees.
CDC
Zhen Liu, Mark S. Squillante, Joel L. Wolf
2002 A* conf
Optimal crawling strategies for web search engines.
WWW
Joel L. Wolf, Mark S. Squillante, Philip S. Yu, Jay Sethuraman, L. Ozsen
2002 J jnl
Optimal scheduling in queuing network models of high-volume commercial web sites.
Perform. Evaluation
Mark S. Squillante, Cathy H. Xia, Li Zhang
2002 J jnl
Special issue on the workshop on mathematical performance modeling and analysis (MAMA 2002).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2002 J jnl
Traffic modeling and performance analysis of commercial web sites.
SIGMETRICS Perform. Evaluation Rev.
Cathy H. Xia, Zhen Liu, Mark S. Squillante, Li Zhang, Naceur Malouch
2002 B conf
Workload Service Requirements Analysis: A Queueing Network Optimization Approach.
MASCOTS
Li Zhang, Cathy H. Xia, Mark S. Squillante, W. Nathaniel Mills III
2001 J jnl
Analysis of queues under correlated arrivals with applications to web server performance.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante, Baffelly Woo, Li Zhang
2001 B conf
High-Volume Web Servers: Traffic Patterns, Performance Implications and Resource Management.
MASCOTS
Mark S. Squillante
2001 A* conf
On maximizing service-level-agreement profits.
EC
Zhen Liu, Mark S. Squillante, Joel L. Wolf
2001 J jnl
On maximizing service-level-agreement profits.
SIGMETRICS Perform. Evaluation Rev.
Zhen Liu, Mark S. Squillante, Joel L. Wolf
2001 J jnl
Optimal scheduling in queueing network models of high-volume commercial web sites.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante, Cathy H. Xia, Li Zhang
2001 J jnl
Scheduling Algorithms for the Broadcast Delivery of Digital Products.
IEEE Trans. Knowl. Data Eng.
Joel L. Wolf, Mark S. Squillante, John Turek, Philip S. Yu, Jay Sethuraman
2001 J jnl
Special issue on the workshop on MAthematical performance Modeling and Analysis (MAMA 2000).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2001 J jnl
Special issue on the workshop on MAthematical performance Modeling and Analysis (MAMA 2001).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
2001 C conf
Threshold-based priority policies for parallel-server systems with affinity scheduling.
ACC
Mark S. Squillante, Cathy H. Xia, David D. Yao, Li Zhang
2000 B conf
Analysis of Large-Scale Distributed Information Systems.
MASCOTS
Joseph L. Hellerstein, T. S. Jayram, Mark S. Squillante
2000 — conf
Performance Evaluation in Industry: A Personal Perspective.
Performance Evaluation
Stephen S. Lavenberg, Mark S. Squillante
1999 J jnl
Analysis and Characterization of Large-Scale Web Server Access Patterns and Performance.
World Wide Web
Arun Iyengar, Mark S. Squillante, Li Zhang
1999 J jnl
Analysis of Job Arrival Patterns and Parallel Scheduling Performance.
Perform. Evaluation
Mark S. Squillante, David D. Yao, Li Zhang
1999 A* conf
Optimal Scheduling of Multiclass Parallel Machines.
SODA
Jay Sethuraman, Mark S. Squillante
1999 A* conf
Optimal Stochastic Scheduling in Multiclass Parallel Queues.
SIGMETRICS
Jay Sethuraman, Mark S. Squillante
1999 — conf
Optimizing Profits in the Broadcast Delivery of Multimedia Products.
Multimedia Information Systems
Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman
1999 J jnl
Special issue on the workshop on Mathematical performance modeling and analysis (MAMA '99).
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante
1999 J jnl
The impact of job arrival patterns on parallel scheduling.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante, David D. Yao, Li Zhang
1999 J jnl
The impact of job memory requirements on gang-scheduling performance.
SIGMETRICS Perform. Evaluation Rev.
Sanjeev Setia, Mark S. Squillante, Vijay K. Naik
1999 J jnl
Web traffic modeling and Web server performance analysis.
SIGMETRICS Perform. Evaluation Rev.
Mark S. Squillante, David D. Yao, Li Zhang
1998 B conf
A General Methodology for Characterizing Access Patterns and Analyzing Web Server Performance.
MASCOTS
Arun Iyengar, Edward A. MacNair, Mark S. Squillante, Li Zhang
1998 A* conf
The Impact of I/O on Program Behavior and Parallel Scheduling.
SIGMETRICS
Emilia Rosti, Giuseppe Serazzi, Evgenia Smirni, Mark S. Squillante
1997 B conf
Analytic Models of Workload Behavior and Pipeline Performance.
MASCOTS
Mark S. Squillante, David R. Kaeli, Himanshu Sinh
1997 — conf
Evaluation of Multithreaded Processors and Thread-Switch Policies.
ISHPC
Richard J. Eickemeyer, Ross E. Johnson, Steven R. Kunkel, Beng-Hong Lim, Mark S. Squillante, Ching-Farn Eric Wu
1997 A conf
Extensible Resource Management for Cluster Computing.
ICDCS
Nayeem Islam, Andreas L. Prodromidis, Mark S. Squillante, Ajei S. Gopal, Liana L. Fong
1997 — conf
Extensible Resource Scheduling for Parallel Scientific Applications.
PP
Nayeem Islam, Andreas L. Prodromidis, Mark S. Squillante, Ajei S. Gopal, Liana L. Fong
1997 — conf
Optimal Scheduling of Coarse-Grained Parallel Scientific Applications.
PP
Mark S. Squillante, Konstantinos P. Tsoukatos
1997 C conf
Performance Evaluation of Gang Scheduling for Parallel and Distributed Multiprogramming.
JSSPP
Fang Wang, Marios C. Papaefthymiou, Mark S. Squillante
1997 J jnl
Processor Allocation in Multiprogrammed Distributed-Memory Parallel Computer Systems.
J. Parallel Distributed Comput.
Vijay K. Naik, Sanjeev Setia, Mark S. Squillante
1996 C conf
A Gang Scheduling Design for Multiprogrammed Parallel Computing Environments.
JSSPP
Fang Wang, Hubertus Franke, Marios C. Papaefthymiou, Pratap Pattnaik, Larry Rudolph, Mark S. Squillante
1996 B conf
An Analysis of Gang Scheduling for Multiprogrammed Parallel Computing Environments.
SPAA
Mark S. Squillante, Fang Wang, Marios C. Papaefthymiou
1996 C conf
Dynamic Partitioning in Different Distributed-Memory Environments.
JSSPP
Nayeem Islam, Andreas L. Prodromidis, Mark S. Squillante
1996 A* conf
Evaluation of Multithreaded Uniprocessors for Commercial Application Environments.
ISCA
Richard J. Eickemeyer, Ross E. Johnson, Steven R. Kunkel, Mark S. Squillante, Shiafun Liu
1996 B conf
Modeling and Analysis of Task Migration in Shared-Memory Computer Systems.
MASCOTS
Randolph D. Nelson, Mark S. Squillante
1996 J jnl
Stochastic Analysis of Gang Scheduling in Parallel and Distributed Systems.
Perform. Evaluation
Mark S. Squillante, Fang Wang, Marios C. Papaefthymiou
1995 — conf
Analysis of Cache Effects and Resource Scheduling in Distributed Parallel Processing Systems.
PP
Vijay K. Naik, Mark S. Squillante
1995 B conf
Analytic Performance Modeling for a Spectrum of Multithreaded Processor Architectures.
MASCOTS
Pradeep K. Dubey, Arvind Krishna, Mark S. Squillante
1995 C conf
On the Benefits and Limitations of Dynamic Partitioning in Parallel Computer Systems.
JSSPP
Mark S. Squillante
1995 — conf
PET: A Parallel Performance Estimation Tool.
PP
Kattamuri Ekanadham, Vijay K. Naik, Mark S. Squillante
1995 A* conf
Time-Function Scheduling: A General Approach To Controllable Resource Management.
SOSP
Liana L. Fong, Mark S. Squillante
1994 J jnl
Analysis of Processor Allocation in Multiprogrammed, Distributed-Memory Parallel Processing Systems.
IEEE Trans. Parallel Distributed Syst.
Sanjeev Setia, Mark S. Squillante, Satish K. Tripathi
1994 A* conf
Analysis of the Impact of Memory in Distributed Parallel Processing Systems.
SIGMETRICS
Vinod G. J. Peris, Mark S. Squillante, Vijay K. Naik
1993 A conf
Performance analysis of job scheduling policies in parallel supercomputing environments.
SC
Vijay K. Naik, Sanjeev Setia, Mark S. Squillante
1993 A* conf
Processor Scheduling on Multiprogrammed, Distributed Memory Parallel Computers.
SIGMETRICS
Sanjeev Setia, Mark S. Squillante, Satish K. Tripathi
1993 — conf
Scheduling of Large Scientific Applications on Distributed Memory Multiprocessor Systems.
PPSC
Vijay K. Naik, Sanjeev Setia, Mark S. Squillante
1993 J jnl
Using Processor-Cache Affinity Information in Shared-Memory Multiprocessor Scheduling.
IEEE Trans. Parallel Distributed Syst.
Mark S. Squillante, Edward D. Lazowska
1991 A* conf
Analysis of Task Migration in Shared-Memory Multiprocessor Scheduling.
SIGMETRICS
Mark S. Squillante, Randolph D. Nelson
1990 Misc conf
Analysis of Contention in Multiprocessor Scheduling.
Performance
Randolph D. Nelson, Mark S. Squillante
1989 J jnl
Integrating Heterogeneous Local Mail Systems.
IEEE Softw.
Mark S. Squillante, David Notkin
1988 — conf
An RPC/LWP System for Interconnecting Heterogeneous Systems.
USENIX Winter
Jan Sanislo, Mark S. Squillante