Adam Wierman | Academic Influence

Adam Wierman's AcademicInfluence.com Rankings

Adam Wierman

Computer Science

#3711

World Rank

#3901

Historical Rank

#1356

USA Rank

Database

#4412

World Rank

#4588

Historical Rank

#701

USA Rank

computer-science Degrees

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Computer Science

Adam Wierman's Degrees

PhD Computer Science Carnegie Mellon University
Masters Computer Science Carnegie Mellon University
Bachelors Computer Science Carnegie Mellon University

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Why Is Adam Wierman Influential?

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According to Wikipedia, Adam Wierman is Professor of Computer Science in the Department of Computing and Mathematical Sciences at the California Institute of Technology. He is known for his work on scheduling , heavy tails, green computing, queueing theory, and algorithmic game theory.

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Adam Wierman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Thinking Fast and Slow (2017) (4189)
Dynamic right-sizing for power-proportional data centers (2011) (618)
Renewable and cooling aware workload management for sustainable data centers (2012) (422)
Greening Geographical Load Balancing (2015) (317)
Open Versus Closed: A Cautionary Tale (2006) (289)
Online algorithms for geographical load balancing (2012) (281)
Power-Aware Speed Scaling in Processor Sharing Systems (2009) (253)
Data center demand response: avoiding the coincident peak via workload shifting and local generation (2013) (237)
Dynamic Right-Sizing for Power-Proportional Data Centers (2013) (233)
Greening geographical load balancing (2011) (232)
Geographical load balancing with renewables (2011) (202)
GRASS: Trimming Stragglers in Approximation Analytics (2014) (197)
Classifying scheduling policies with respect to unfairness in an M/GI/1 (2003) (185)
Distributed Welfare Games (2013) (177)
Peer Effects and Stability in Matching Markets (2011) (177)
Pricing data center demand response (2014) (171)
Opportunities and challenges for data center demand response (2014) (167)
Optimality, fairness, and robustness in speed scaling designs (2010) (138)
Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale (2015) (134)
How to Determine a Good Multi-Programming Level for External Scheduling (2006) (125)
Multi-Server Queueing Systems with Multiple Priority Classes (2005) (103)
Real-time deferrable load control: handling the uncertainties of renewable generation (2013) (99)
Joint optimization of overlapping phases in MapReduce (2013) (96)
An architectural view of game theoretic control (2011) (96)
Power-aware speed scaling in processor sharing systems: Optimality and robustness (2012) (91)
Asymptotic convergence of scheduling policies with respect to slowdown (2002) (90)
The Foreground-Background queue: A survey (2008) (86)
Prices and Subsidies in the Sharing Economy (2016) (84)
Using Predictions in Online Optimization: Looking Forward with an Eye on the Past (2016) (81)
A tale of two metrics: simultaneous bounds on competitiveness and regret (2013) (80)
Potential games are necessary to ensure pure nash equilibria in cost sharing games (2013) (80)
Online Convex Optimization Using Predictions (2015) (74)
Greening Multi-Tenant Data Center Demand Response (2015) (71)
Is Tail-Optimal Scheduling Possible? (2012) (69)
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning (2020) (67)
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems (2019) (66)
A unified framework for modeling TCP-Vegas, TCP-SACK, and TCP-Reno (2003) (66)
Fairness and scheduling in single server queues (2011) (65)
Nearly insensitive bounds on SMART scheduling (2005) (65)
Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent (2018) (63)
Scheduling in polling systems (2007) (62)
The role of a market maker in networked cournot competition (2014) (60)
Optimal speed scaling under arbitrary power functions (2009) (60)
An Online Algorithm for Smoothed Regression and LQR Control (2019) (59)
Fairness and classifications (2007) (56)
Scheduling despite inexact job-size information (2008) (56)
The Economics of the Cloud (2017) (56)
Distributed welfare games with applications to sensor coverage (2008) (54)
Characterizing the impact of the workload on the value of dynamic resizing in data centers (2012) (54)
The fundamentals of heavy-tails: properties, emergence, and identification (2013) (53)
Energy Portfolio Optimization of Data Centers (2017) (52)
Overcoming the Limitations of Utility Design for Multiagent Systems (2013) (47)
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization (2019) (47)
Opportunities for Price Manipulation by Aggregators in Electricity Markets (2016) (47)
Distributed optimization decomposition for joint economic dispatch and frequency regulation (2015) (46)
Scheduling for today's computer systems: bridging theory and practice (2007) (46)
Classifying scheduling policies with respect to higher moments of conditional response time (2005) (45)
Routing and staffing when servers are strategic (2014) (45)
Preventing Large Sojourn Times Using SMART Scheduling (2008) (43)
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward (2020) (41)
The Power of Predictions in Online Control (2020) (40)
4-month evaluation of a learner-controlled reading tutor that listens (2008) (40)
Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers (2017) (40)
Overcoming limitations of game-theoretic distributed control (2009) (40)
A Unifying Market Power Measure for Deregulated Transmission-Constrained Electricity Markets (2015) (37)
A market approach for handling power emergencies in multi-tenant data center (2016) (37)
Energy procurement strategies in the presence of intermittent sources (2014) (36)
Online Optimization with Memory and Competitive Control (2020) (35)
Tail-robust scheduling via limited processor sharing (2010) (35)
Approximate dynamic programming using fluid and diffusion approximations with applications to power management (2009) (33)
A note on comparing response times in the M/GI/1/FB and M/GI/1/PS queues (2004) (32)
Signomial and polynomial optimization via relative entropy and partial dualization (2019) (31)
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging (2020) (31)
Newton Polytopes and Relative Entropy Optimization (2018) (31)
Online convex optimization with ramp constraints (2015) (31)
Competition yields efficiency in load balancing games (2011) (30)
Greening geographical load balancing (2015) (30)
Thinking fast and slow: Optimization decomposition across timescales (2017) (30)
Heavy-traffic analysis of mean response time under Shortest Remaining Processing Time (2011) (29)
Online Optimization with Predictions and Non-convex Losses (2019) (28)
The effect of local scheduling in load balancing designs (2008) (26)
A revealed preference approach to computational complexity in economics (2011) (26)
On the Impact of Heterogeneity and Back-End Scheduling in Load Balancing Designs (2009) (26)
The economics of the cloud: price competition and congestion (2014) (25)
Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets (2014) (25)
Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market (2018) (25)
Online dynamic capacity provisioning in data centers (2011) (24)
Provisioning of Large-Scale Systems: The Interplay Between Network Effects and Strategic Behavior in the User Base (2016) (24)
How many servers are best in a dual-priority M/PH/k system? (2006) (24)
Optimal Pricing in Markets with Non-Convex Costs (2018) (23)
Distributional analysis for model predictive deferrable load control (2014) (23)
Tail asymptotics for policies favoring short jobs in a many-flows regime (2006) (22)
Optimizing energy storage participation in emerging power markets (2015) (21)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems (2020) (20)
Failure Localization in Power Systems via Tree Partitions (2018) (19)
Loyalty Programs in the Sharing Economy: Optimality and Competition (2018) (19)
Competitive Online Optimization under Inventory Constraints (2019) (19)
On the Role of a Market Maker in Networked Cournot Competition (2019) (18)
Online optimization with switching cost (2012) (17)
The average response time in a heavy-traffic srpt queue (2010) (17)
A unifying approach to assessing market power in deregulated electricity markets (2013) (17)
Stability Constrained Reinforcement Learning for Real-Time Voltage Control (2021) (16)
On the Benefits of Work Stealing in Shared-Memory Multiprocessors (16)
Stochastic analysis of power-aware scheduling (2008) (16)
The empirical implications of privacy-aware choice (2014) (15)
The efficiency of open access in platforms for networked cournot markets (2017) (15)
When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling (2013) (14)
Dispatching to incentivize fast service in multi-server queues (2011) (14)
Fairness and efficiency for polling models with the k-gated service discipline (2012) (14)
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach (2020) (13)
Data-driven Competitive Algorithms for Online Knapsack and Set Cover (2020) (12)
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination (2020) (12)
Aggregate modeling of multi-processing workstations (2008) (12)
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers (2020) (12)
An improved upper bound for the pebbling threshold of the n-path (2004) (11)
Line Failure Localization of Power Networks Part I: Non-Cut Outages (2021) (11)
Minimizing the Social Cost of an Epidemic (2011) (11)
Online Inventory Management with Application to Energy Procurement in Data Centers (2019) (11)
Speed scaling : An algorithmic perspective (2011) (11)
Characterizing distribution rules for cost sharing games (2011) (11)
Pricing flexibility of shiftable demand in electricity markets (2021) (11)
Networked cournot competition in platform markets: Access control and efficiency loss (2017) (11)
Distance-Dependent Kronecker Graphs for Modeling Social Networks (2010) (11)
Distributed Reinforcement Learning in Multi-Agent Networked Systems (2020) (11)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems (2021) (11)
Competitive Control with Delayed Imperfect Information (2020) (11)
Distributed Optimization via Local Computation Algorithms (2017) (10)
How many servers are best in a dual-priority FCFS system? (2003) (10)
Understanding the slowdown of large jobs in an M/GI/1 system (2002) (10)
Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market (2016) (10)
Inefficiency in forward markets with supply friction (2013) (10)
Closed versus open system models and their impact on performance (2006) (10)
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System (2021) (10)
On the efficiency of networked Stackelberg competition (2017) (10)
Scheduling for heavy-tailed and light-tailed workloads in queueing systems (2012) (9)
Online Linear Optimization with Inventory Management Constraints (2020) (9)
A recursive analysis technique for multi-dimensionally infinite Markov chains (2004) (9)
Third-Party Data Providers Ruin Simple Mechanisms (2018) (8)
Competitive Analysis of M/GI/1 Queueing Policies (2003) (8)
Exploiting network effects in the provisioning of large scale systems (2011) (8)
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems (2021) (8)
Less is More: Real-time Failure Localization in Power Systems (2019) (8)
Competitive Online Optimization under Inventory Constraints (2019) (7)
Multi-Agent Reinforcement Learning in Time-varying Networked Systems (2020) (7)
Learning-Based Predictive Control via Real-Time Aggregate Flexibility (2020) (7)
Many Flows Asymptotics for SMART Scheduling Policies (2012) (7)
The Cost of an Epidemic over a Complex Network: A Random Matrix Approach (2013) (7)
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes (2020) (7)
Chasing Convex Bodies and Functions with Black-Box Advice (2022) (7)
Modeling TCP-vegas under on/off traffic (2003) (7)
Analyzing the effect of prioritized background tasks in multiserver systems (2003) (7)
Scalable Reinforcement Learning for Multiagent Networked Systems (2019) (7)
Real-time deferrable load control: handling the uncertainties of renewable generation (2014) (7)
Online Optimization with Untrusted Predictions (2022) (6)
Information Aggregation for Constrained Online Control (2021) (6)
Distributed Optimization Decomposition for Joint Economic Dispatch and Frequency Regulation (2015) (6)
Stable Online Control of Linear Time-Varying Systems (2021) (6)
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation (2022) (6)
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions (2021) (6)
The economics of the cloud: price competition and congestion (2014) (6)
Robust online voltage control with an unknown grid topology (2022) (6)
Bounds on a Fair Policy with Near Optimal Performance (2003) (6)
Line Failure Localization of Power Networks Part II: Cut Set Outages (2021) (6)
Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach (2021) (6)
A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers (2017) (6)
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems (2022) (5)
Generalizing Kronecker graphs in order to model searchable networks (2009) (5)
Finding a walrasian equilibrium is easy for a fixed number of agents (2012) (5)
A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization (2021) (5)
The empirical implications of rank in Bimatrix games (2013) (5)
Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition (2020) (5)
Beyond No-Regret: Competitive Control via Online Optimization with Memory (2020) (4)
Controlling the Variability of Capacity Allocations Using Service Deferrals (2017) (4)
Online Stabilization of Unknown Networked Systems with Communication Constraints (2022) (4)
Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization (2020) (4)
Algorithms for dynamic capacity provisioning (2012) (4)
On competitive provisioning of cloud services (2014) (4)
On competitive provisioning of ad-supported cloud services (2014) (4)
An Integrated Approach for Failure Mitigation & Localization in Power Systems (2020) (4)
Robustness and Consistency in Linear Quadratic Control with Predictions (2021) (3)
On the Existence of Low-Rank Explanations for Mixed Strategy Behavior (2013) (3)
Congestion and price competition in the cloud (2012) (3)
The Fundamentals of Heavy Tails (2022) (3)
Prices and Subsidies in the Sharing Economy: Profit Versus Welfare (2016) (3)
On the effect of inexact size information in size based policies (2006) (3)
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition (2021) (3)
Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation (2020) (3)
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning (2022) (3)
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract) (2022) (3)
A First Look at Power Attacks in Multi-Tenant Data Centers (2017) (3)
The Twitter Rumor Network : Subject and Sentiment Cascades in a Massive Online Social Network (2011) (3)
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems (2019) (3)
A Parallelizable Acceleration Framework for Packing Linear Programs (2017) (3)
Integrated Distributed Energy Resource Pricing and Control (2012) (2)
The Online Knapsack Problem with Departures (2022) (2)
Revisiting the performance of large jobs in the M / GI / 1 queue (2007) (2)
Speed Scaling (2012) (2)
Competitive Online Optimization under Inventory Constraints (2019) (2)
On the Inefficiency of Forward Markets in Leader-Follower Competition (2016) (2)
Speculation-aware Cluster Scheduling (2015) (2)
Provisioning of ad-supported cloud services: The role of competition (2018) (2)
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems (2022) (2)
Online Optimization with Feedback Delay and Nonlinear Switching Cost (2021) (2)
Market Power Analysis in Deregulated Electricity Markets using AC Power Flow Models (2013) (2)
Formalizing SMART scheduling (2004) (2)
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions (2022) (2)
Failure Localization in Power Systems via Tree Partitions (2018) (2)
Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization (2021) (2)
Communication-Aware Scheduling of Precedence-Constrained Tasks (2019) (2)
Scheduling for the tail: Robustness versus optimality (2010) (2)
Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment (2019) (2)
Online Linear Optimization with Inventory Management Constraints (2020) (2)
Online Linear Optimization with Inventory Management Constraints (2020) (2)
Complexity and economics: computational constraints may not matter empirically (2011) (2)
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes (2020) (2)
Online switching control with stability and regret guarantees (2023) (1)
The Complexity of Nash Equilibria as Revealed by Data (2014) (1)
Dynamic Capacity Provisioning of Heterogeneous Servers (2011) (1)
Transparency and Control in Platforms for Networked Markets (2019) (1)
Simple bounds on SMART scheduling (2003) (1)
Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines (2020) (1)
Trading Throughput for Freshness: Freshness-Aware Traffic Engineering and In-Network Freshness Control (2021) (1)
Online Adversarial Stabilization of Unknown Networked Systems (2022) (1)
Buy or Sell? Energy Sharing of Prosumers on Constrained Networks (2019) (1)
An Online Algorithm for Smoothed Online Convex Optimization (2019) (1)
Networked cournot competition in platform markets (2017) (1)
Convex Prophet Inequalities (2019) (1)
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging (2021) (1)
Aggregate modeling of multiprocessing workstations ∗ (2008) (1)
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems (2020) (1)
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes (2020) (1)
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition (2022) (1)
Smoothed Online Optimization with Unreliable Predictions (2022) (1)
Online Optimization with Predictions and Non-convex Losses (2020) (1)
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control (2022) (1)
Message from the Editors (2018) (0)
Dispatch-aware planning for feasible power system operation (2022) (0)
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity (2022) (0)
Session details: Proceedings of the 2017 GreenMetrics Workshop (2017) (0)
Progress Report - Move Bits not Watts: Algorithms for Sustainable Data Centers (2013) (0)
Session details: Proceedings of the 2013 GreenMetrics workshop (2014) (0)
Decentralized Online Convex Optimization in Networked Systems (2022) (0)
Price Cycles in Ridesharing Platforms (2022) (0)
Session details: Scheduling (2007) (0)
Routing and Staffing when Servers are Strategic : Technical Appendix (2016) (0)
Capacity planning for server farms : How many servers are optimal ? (2006) (0)
Online Stabilization of Unknown Linear Time-Varying Systems (2023) (0)
Session details: Special Issue on the 2016 Greenmetrics Workshop (2016) (0)
Assessment 978-1316-51173-2 — The Fundamentals of Heavy Tails (0)
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems (2020) (0)
Information Aggregation for Constrained Online Control (2021) (0)
Convex Prophet Inequalities (2019) (0)
Matching with Friends: Peer Effects and Stability in Housing Assignment (2011) (0)
A Theoretical Scheduling Toolbox (0)
In-Network Freshness Control: Trading Throughput for Freshness (2021) (0)
Session details: Resource allocation and scheduling (2011) (0)
Third-Party Data Providers Ruin Simple Mechanisms (2020) (0)
Scheduling and Large Deviations (2010) (0)
A Special Section on Pricing and Incentives in Networks and Systems : Guest Editors ’ Introduction (2014) (0)
Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction (2014) (0)
UvA-DARE ( Digital Academic Repository ) Aggregate modeling of multiprocessing workstations (2008) (0)
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting (2023) (0)
Fairness and Efficiency in Waiting Times for Polling Models (2010) (0)
Smoothed Online Optimization for Regression and Control (2018) (0)
Minimal-Variance Distributed Deadline Scheduling (2020) (0)
Minimal-variance distributed scheduling under strict demands and deadlines (2019) (0)
Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks (2022) (0)
1 4 Fe b 20 14 Routing and Staffing when Servers are Strategic (2014) (0)
Real-time Aggregate Flexibility via Reinforcement Learning (2020) (0)
Correction to: Multi-server queueing systems with multiple priority classes (2021) (0)
Session details: Special Issue on the 2014 GreenMetrics Workshop (2014) (0)
Incentives for P2P-assisted content distribution: If you can't beat 'em, join 'em (2012) (0)
Speculation and Decentralized Scheduling (2015) (0)
Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler (2022) (0)
Session details: Session 3: Assessing Vulnerability of Large Networks (2017) (0)
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations (2022) (0)
Online Optimization with Feedback Delay and Nonlinear Switching Cost (2022) (0)
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games (2023) (0)
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control (2022) (0)
Certifying Black-Box Policies With Stability for Nonlinear Control (2023) (0)
Reducing Map Exploration in S3P (2001) (0)
Session details: The 10th Workshop on the Economics of Networks, Systems and Computation (NetEcon 2015) (2015) (0)
Hardware Information PVL Code S 3 P " Best " Atlas Algorithm Information Mapping Constraints (2001) (0)
Session details: Special issue on the 2010 HotMetrics workshop (2011) (0)
Mitigating Cascading Failures via Local Responses (2020) (0)
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games (2023) (0)
Contextual Combinatorial Bandits with Probabilistically Triggered Arms (2023) (0)
Third-Party Data Providers Ruin Simple Mechanisms (2020) (0)
Adaptive Network Response to Line Failures in Power Systems (2020) (0)
Online Optimization with Predictions and Non-convex Losses (2020) (0)
Session details: Session 1: Data Centers I (2018) (0)
The Lee Center for Advanced Networking (2010) (0)
Black-Box Acceleration of Monotone Convex Program Solvers (2022) (0)
Interface Networks for Failure Localization in Power Systems (2022) (0)
Session details: Session 3: Assessing Vulnerability of Large Networks (2017) (0)

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