Database Summarization and Publishing in Wireless Environments. - Anshul Gandhi; R. K. Ghosh (ICDCN, 2006)

Optimal power allocation in server farms. - Anshul Gandhi; Mor Harchol-Balter; Rajarshi Das; Charles Lefurgy (SIGMETRICS/Performance, 2009)

Optimality analysis of energy-performance trade-off for server farm management. - Anshul Gandhi; Varun Gupta 004; Mor Harchol-Balter; Michael A. Kozuch (Perform. Evaluation, 2010)

Server farms with setup costs. - Anshul Gandhi; Mor Harchol-Balter; Ivo J. B. F. Adan (Perform. Evaluation, 2010)

Decomposition results for an m/m/k with staggered setup. - Anshul Gandhi; Mor Harchol-Balter; Ivo J. B. F. Adan (SIGMETRICS Perform. Evaluation Rev., 2010)

How data center size impacts the effectiveness of dynamic power management. - Anshul Gandhi; Mor Harchol-Balter (Allerton, 2011)

Minimizing data center SLA violations and power consumption via hybrid resource provisioning. - Anshul Gandhi; Yuan Chen 001; Daniel Gmach; Martin F. Arlitt; Manish Marwah (IGCC, 2011)

The case for sleep states in servers. - Anshul Gandhi; Mor Harchol-Balter; Michael A. Kozuch (HotPower@SOSP, 2011)

Are sleep states effective in data centers? - Anshul Gandhi; Mor Harchol-Balter; Michael A. Kozuch (IGCC, 2012)

Saving Cash by Using Less Cache. - Timothy Zhu; Anshul Gandhi; Mor Harchol-Balter; Michael A. Kozuch (HotCloud, 2012)

SOFTScale: Stealing Opportunistically for Transient Scaling. - Anshul Gandhi; Timothy Zhu; Mor Harchol-Balter; Michael A. Kozuch (Middleware, 2012)

Hybrid resource provisioning for minimizing data center SLA violations and power consumption. - Anshul Gandhi; Yuan Chen 001; Daniel Gmach; Martin F. Arlitt; Manish Marwah (Sustain. Comput. Informatics Syst., 2012)

AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers. - Anshul Gandhi; Mor Harchol-Balter; Ram Raghunathan; Michael A. Kozuch (ACM Trans. Comput. Syst., 2012)

M/G/kM/G/k with staggered setup. - Anshul Gandhi; Mor Harchol-Balter (Oper. Res. Lett., 2013)

Adaptive, Model-driven Autoscaling for Cloud Applications. - Anshul Gandhi; Parijat Dube; Alexei A. Karve; Andrzej Kochut; Li Zhang 002 (ICAC, 2014)

Modeling the Impact of Workload on Cloud Resource Scaling. - Anshul Gandhi; Parijat Dube; Alexei A. Karve; Andrzej Kochut; Li Zhang 002 (SBAC-PAD, 2014)

Exact analysis of the M/M/k/setup class of Markov chains via recursive renewal reward. - Anshul Gandhi; Sherwin Doroudi; Mor Harchol-Balter; Alan Scheller-Wolf (Queueing Syst. Theory Appl., 2014)

Model-Driven Autoscaling for Hadoop Clusters. - Anshul Gandhi; Parijat Dube; Andrzej Kochut; Li Zhang 002 (ICAC, 2015)

The Unobservability Problem in Clouds. - Anshul Gandhi; Parijat Dube; Alexei A. Karve; Andrzej Kochut; Harsha Ellanti (ICCAC, 2015)

HALO: Heterogeneity-Aware Load Balancing. - Anshul Gandhi; Xi Zhang; Naman Mittal (MASCOTS, 2015)

Analyzing the Network for AWS Distributed Cloud Computing. - Anshul Gandhi; Justin Chan (SIGMETRICS Perform. Evaluation Rev., 2015)

Optimal Load-Balancing for Heterogeneous Clusters. - Anshul Gandhi; Naman Mittal; Xi Zhang (SIGMETRICS Perform. Evaluation Rev., 2015)

Minimizing electricity cost for geo-distributed interactive services with tail latency constraint. - Mohammad A. Islam 001; Anshul Gandhi; Shaolei Ren (IGSC, 2016)

Using machine learning for black-box autoscaling. - Muhammad Wajahat; Anshul Gandhi; Alexei A. Karve; Andrzej Kochut (IGSC, 2016)

Autoscaling for Hadoop Clusters. - Anshul Gandhi; Sidhartha Thota; Parijat Dube; Andrzej Kochut; Li Zhang 002 (IC2E, 2016)

UIE: User-Centric Interference Estimation for Cloud Applications. - Seyyed Ahmad Javadi; Sagar Mehra; Bharath Kumar Reddy Vangoor; Anshul Gandhi (IC2E, 2016)

Analyzing the Power Consumption of the Mobile Page Load. - Yi Cao; Javad Nejati; Pavan Maguluri; Aruna Balasubramanian; Anshul Gandhi (SIGMETRICS, 2016)

Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. - Niangjun Chen; Joshua Comden; Zhenhua Liu 002; Anshul Gandhi; Adam Wierman (SIGMETRICS, 2016)

Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application. - Muhammad Wajahat; Salman Masood; Abhinav Sau; Anshul Gandhi (IGSC, 2017)

DIAL: Reducing Tail Latencies for Cloud Applications via Dynamic Interference-aware Load Balancing. - Seyyed Ahmad Javadi; Anshul Gandhi (ICAC, 2017)

Modeling and Analysis of Performance Under Interference in the Cloud. - Scott Votke; Seyyed Ahmad Javadi; Anshul Gandhi (MASCOTS, 2017)

Realizing an elastic memcached via cached data migration: poster. - Ubaid Ullah Hafeez; Deepthi Male; Sharath Kumar Naeni; Muhammad Wajahat; Anshul Gandhi (Middleware Posters and Demos, 2017)

Improving server utilization via resource-adaptive batch VMs: poster. - Seyyed Ahmad Javadi; Piyush Shyam Banginwar; Vaishali Chanana; Rashmi Narvekar; Mitesh Kumar Savita; Anshul Gandhi (Middleware Posters and Demos, 2017)

Rethinking TCP Throughput and Latency Modeling. - Yi Cao; Aruna Balasubramanian; Anshul Gandhi (SIGCOMM Posters and Demos, 2017)

Deconstructing the Energy Consumption of the Mobile Page Load. - Yi Cao; Javad Nejati; Muhammad Wajahat; Aruna Balasubramanian; Anshul Gandhi (Proc. ACM Meas. Anal. Comput. Syst., 2017)

Application-Agnostic Batch Workload Management in Cloud Environments. - Seyyed Ahmad Javadi; Shalini Bhaskara; Rahul Doshi; Prashanth Soundarapandian; Muhammad Wajahat; Anshul Gandhi (SoCC, 2018)

ElMem: Towards an Elastic Memcached System. - Ubaid Ullah Hafeez; Muhammad Wajahat; Anshul Gandhi (ICDCS, 2018)

EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot. - Seyyed Ahmad Javadi; Harsh Gupta; Robin Manhas; Shweta Sahu; Anshul Gandhi (ICDCS, 2018)

A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation. - Kirk Roberts; Yuqi Si; Anshul Gandhi; Elmer V. Bernstam (LREC, 2018)

A Model-Driven Graybox Approach to Rehoming Service Chains. - Muhammad Wajahat; Bharath Balasubramanian; Anshul Gandhi; Gueyoung Jung; Shankaranarayanan Puzhavakath Narayanan (MASCOTS, 2018)

Model-driven optimal resource scaling in cloud. - Anshul Gandhi; Parijat Dube; Alexei A. Karve; Andrzej Kochut; Li Zhang 002 (Softw. Syst. Model., 2018)

Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments. - Seyyed Ahmad Javadi; Amoghavarsha Suresh; Muhammad Wajahat; Anshul Gandhi (SoCC, 2019)

Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study. - K. R. Jayaram; Anshul Gandhi; Hongyi Xin; Shu Tao (ICAC, 2019)

Towards Automated Patch Management in a Hybrid Cloud. - Ubaid Ullah Hafeez; Alexei A. Karve; Braulio Dumba; Anshul Gandhi; Sai Zeng (ICSOC, 2019)

When to use and when not to use BBR: An empirical analysis and evaluation study. - Yi Cao; Arpit Jain; Kriti Sharma; Aruna Balasubramanian; Anshul Gandhi (Internet Measurement Conference, 2019)

ECON: Modeling the network to improve application performance. - Yi Cao; Javad Nejati; Aruna Balasubramanian; Anshul Gandhi (Internet Measurement Conference, 2019)

Optimal Markovian Dynamic Control of Interference-Prone Server Farms. - Scott Votke; Jazeem Abdul Jaleel; Amoghavarsha Suresh; Mohammad Delasay; Sherwin Doroudi; Anshul Gandhi (MASCOTS, 2019)

Distribution Fitting and Performance Modeling for Storage Traces. - Muhammad Wajahat; Aditya Yele; Tyler Estro; Anshul Gandhi; Erez Zadok (MASCOTS, 2019)

Leveraging Queueing Theory and OS Profiling to Reduce Application Latency. - Anshul Gandhi; Amoghavarsha Suresh (Middleware Tutorials, 2019)

FnSched: An Efficient Scheduler for Serverless Functions. - Amoghavarsha Suresh; Anshul Gandhi (WOSC@Middleware, 2019)

MMLite: A Scalable and Resource Efficient Control Plane for Next Generation Cellular Packet Core. - Vasudevan Nagendra; Arani Bhattacharya; Anshul Gandhi; Samir R. Das (SOSR, 2019)

Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling. - Amoghavarsha Suresh; Anshul Gandhi (WWW, 2019)

Road Accidents in the UK (Analysis and Visualization). - Anjul Kumar Tyagi; Ayush Kumar 004; Anshul Gandhi; Klaus Mueller 001 (CoRR, 2019)

Tighter Lyapunov Truncation for Multi-Dimensional Continuous Time Markov Chains with Known Moments. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (SIGMETRICS Perform. Evaluation Rev., 2019)

MLscale: A machine learning based application-agnostic autoscaler. - Muhammad Wajahat; Alexei A. Karve; Andrzej Kochut; Anshul Gandhi (Sustain. Comput. Informatics Syst., 2019)

ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments. - Amoghavarsha Suresh; Gagan Somashekar; Anandh Varadarajan; Veerendra Ramesh Kakarla; Hima Upadhyay; Anshul Gandhi (ACSOS, 2020)

MERIT: Model-driven Rehoming for VNF Chains. - Muhammad Wajahat; Bharath Balasubramanian; Anshul Gandhi; Gueyoung Jung; Shankaranarayanan Puzhavakath Narayanan (ACSOS, 2020)

Empirical Analysis and Modeling of Compute Times of CNN Operations on AWS Cloud. - Ubaid Ullah Hafeez; Anshul Gandhi (IISWC, 2020)

Analyzing the distribution fit for storage workload and Internet traffic traces. - Muhammad Wajahat; Aditya Yele; Tyler Estro; Anshul Gandhi; Erez Zadok (Perform. Evaluation, 2020)

Providing Performance Guarantees for Cloud-Deployed Applications. - Anshul Gandhi; Parijat Dube; Alexei A. Karve; Andrzej Kochut; Li Zhang 002 (IEEE Trans. Cloud Comput., 2020)

ServerMore: Opportunistic Execution of Serverless Functions in the Cloud. - Amoghavarsha Suresh; Anshul Gandhi (SoCC, 2021)

Towards Optimal Configuration of Microservices. - Gagan Somashekar; Anshul Gandhi (EuroMLSys@EuroSys, 2021)

Towards optimal placement and scheduling of DNN operations with Pesto. - Ubaid Ullah Hafeez; Xiao Sun 004; Anshul Gandhi; Zhenhua Liu 002 (Middleware, 2021)

BBR Bufferbloat in DASH Video. - Santiago Vargas; Rebecca Drucker; Aiswarya Renganathan; Aruna Balasubramanian; Anshul Gandhi (WWW, 2021)

Editorial. - Anshul Gandhi; Negar Kiyavash; Jia Wang 001 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning. - Gagan Somashekar; Amoghavarsha Suresh; Saurabh Tyagi; Vikas Dhyani; Krishna Chaitanya Donkada; Anurag Pradhan; Anshul Gandhi (ACSOS, 2022)

Optimizing Near-Data Processing for Spark. - Sri Pramodh Rachuri; Arun Gantasala; Prajeeth Emanuel; Anshul Gandhi; Robert Foley; Peter Puhov; Theodoros Gkountouvas; Hui Lei 001 (ICDCS, 2022)

Are mobiles ready for BBR? - Santiago Vargas; Gautham Gunapati; Anshul Gandhi; Aruna Balasubramanian (IMC, 2022)

Truncating Multi-Dimensional Markov Chains With Accuracy Guarantee. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (MASCOTS, 2022)

B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks. - Gagan Somashekar; Anurag Dutt; Rohith Vaddavalli; Sai Bhargav Varanasi; Anshul Gandhi (ICPE (Companion), 2022)

User-Centric Interference-Aware Load Balancing for Cloud-Deployed Applications. - Seyyed Ahmad Javadi; Anshul Gandhi (IEEE Trans. Cloud Comput., 2022)

Persistent Memory Research in the Post-Optane Era. - Peter Desnoyers; Ian F. Adams; Tyler Estro; Anshul Gandhi; Geoff Kuenning; Michael P. Mesnier; Carl A. Waldspurger; Avani Wildani; Erez Zadok (DIMES@SOSP, 2023)

Evaluating the energy impact of device parameters for DNN inference on edge. - Anurag Dutt; Sri Pramodh Rachuri; Ashley Lobo; Nazeer Shaik; Anshul Gandhi; Zhenhua Liu 002 (IGSC, 2023)

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (MASCOTS, 2023)

Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (Perform. Evaluation, 2023)

KACE: Kernel-Aware Colocation for Efficient GPU Spatial Sharing. - Bing-Shiun Han; Tathagata Paul; Zhenhua Liu 002; Anshul Gandhi (SoCC, 2024)

BBR vs. BBRv2: A Performance Evaluation. - Rebecca Drucker; Gauri Baraskar; Aruna Balasubramanian; Anshul Gandhi (COMSNETS, 2024)

EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge Devices. - Sri Pramodh Rachuri; Nazeer Shaik; Mehul Choksi; Anshul Gandhi (SEC, 2024)

OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture. - Manavjeet Singh; Sri Pramodh Rachuri; Bryan Bo Cao; Abhinav Sharma; Venkata Bhumireddy; Francesco Bronzino; Samir R. Das; Anshul Gandhi; Shubham Jain (SEC, 2024)

Representation Similarity: A Better Guidance of DNN Layer Sharing for Edge Computing without Training. - Bryan Bo Cao; Abhinav Sharma; Manavjeet Singh; Anshul Gandhi; Samir R. Das; Shubham Jain (MobiCom, 2024)

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. - Gagan Somashekar; Karan Tandon; Anush Kini; Chieh-Chun Chang; Petr Husak; Ranjita Bhagwan; Mayukh Das; Anshul Gandhi; Nagarajan Natarajan (NSDI, 2024)

Empirical Evaluation of ML Models for Per-Job Power Prediction. - Debajyoti Halder; Manas Acharya; Aniket Malsane; Anshul Gandhi; Erez Zadok (ICPE (Companion), 2024)

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. - Gagan Somashekar; Anurag Dutt; Mainak Adak; Tania Lorido-Botran; Anshul Gandhi (WWW, 2024)

Verifiable Sustainability in Data Centers. - Syed Rafiul Hussain; Patrick D. McDaniel; Anshul Gandhi; Kanad Ghose; Kartik Gopalan; Dongyoon Lee; Yu David Liu; Zhenhua Liu 002; Shuai Mu; Erez Zadok (IEEE Secur. Priv., 2024)

Accelerating multi-tier storage cache simulations using knee detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (Perform. Evaluation, 2024)

Investigating WebRTC BBR as an alternative to GCC for live video streaming. - Rebecca Drucker; Aruna Balasubramanian; Anshul Gandhi (COMSNETS, 2025)

Foreword - Special Issue - MASCOTS 2023. - Maria Carla Calzarossa; Anshul Gandhi (Perform. Evaluation, 2025)

Editorial: Special issue on Performance Analysis and Evaluation of Systems for Artificial Intelligence. - Anshul Gandhi; Bo Jiang; Shaolei Ren (Perform. Evaluation, 2025)

Kneeliverse: A universal knee-detection library for performance curves. - Mário Antunes 001; Tyler Estro; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (SoftwareX, 2025)