Anshul Gandhi

Orcid: 0000-0002-2351-6523

Affiliations:
  • Stony Brook University, NY, USA


According to our database1, Anshul Gandhi authored at least 83 papers between 2006 and 2024.

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Bibliography

2024
Accelerating multi-tier storage cache simulations using knee detection.
Perform. Evaluation, 2024

Representation Similarity: A Better Guidance of DNN Layer Sharing for Edge Computing without Training.
CoRR, 2024

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications.
Proceedings of the ACM on Web Conference 2024, 2024

Empirical Evaluation of ML Models for Per-Job Power Prediction.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

BBR vs. BBRv2: A Performance Evaluation.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

KACE: Kernel-Aware Colocation for Efficient GPU Spatial Sharing.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues.
Perform. Evaluation, November, 2023

Verifiable Sustainability in Data Centers.
CoRR, 2023

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection.
Proceedings of the 31st International Symposium on Modeling, 2023

Evaluating the energy impact of device parameters for DNN inference on edge.
Proceedings of the 14th International Green and Sustainable Computing Conference, 2023

Persistent Memory Research in the Post-Optane Era.
Proceedings of the 1st Workshop on Disruptive Memory Systems, 2023

2022
User-Centric Interference-Aware Load Balancing for Cloud-Deployed Applications.
IEEE Trans. Cloud Comput., 2022

B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Truncating Multi-Dimensional Markov Chains With Accuracy Guarantee.
Proceedings of the 30th International Symposium on Modeling, 2022

Are mobiles ready for BBR?
Proceedings of the 22nd ACM Internet Measurement Conference, 2022

Optimizing Near-Data Processing for Spark.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021
Editorial.
Proc. ACM Meas. Anal. Comput. Syst., 2021

BBR Bufferbloat in DASH Video.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards optimal placement and scheduling of DNN operations with Pesto.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Towards Optimal Configuration of Microservices.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

ServerMore: Opportunistic Execution of Serverless Functions in the Cloud.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020
Providing Performance Guarantees for Cloud-Deployed Applications.
IEEE Trans. Cloud Comput., 2020

Analyzing the distribution fit for storage workload and Internet traffic traces.
Perform. Evaluation, 2020

Empirical Analysis and Modeling of Compute Times of CNN Operations on AWS Cloud.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020

MERIT: Model-driven Rehoming for VNF Chains.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019
MLscale: A machine learning based application-agnostic autoscaler.
Sustain. Comput. Informatics Syst., 2019

Tighter Lyapunov Truncation for Multi-Dimensional Continuous Time Markov Chains with Known Moments.
SIGMETRICS Perform. Evaluation Rev., 2019

Road Accidents in the UK (Analysis and Visualization).
CoRR, 2019

Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling.
Proceedings of the World Wide Web Conference, 2019

MMLite: A Scalable and Resource Efficient Control Plane for Next Generation Cellular Packet Core.
Proceedings of the 2019 ACM Symposium on SDN Research, 2019

FnSched: An Efficient Scheduler for Serverless Functions.
Proceedings of the 5th International Workshop on Serverless Computing, 2019

Leveraging Queueing Theory and OS Profiling to Reduce Application Latency.
Proceedings of the 20th International Middleware Conference Tutorials, 2019

Distribution Fitting and Performance Modeling for Storage Traces.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019

Optimal Markovian Dynamic Control of Interference-Prone Server Farms.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019

ECON: Modeling the network to improve application performance.
Proceedings of the Internet Measurement Conference, 2019

When to use and when not to use BBR: An empirical analysis and evaluation study.
Proceedings of the Internet Measurement Conference, 2019

Towards Automated Patch Management in a Hybrid Cloud.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Model-driven optimal resource scaling in cloud.
Softw. Syst. Model., 2018

A Model-Driven Graybox Approach to Rehoming Service Chains.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

ElMem: Towards an Elastic Memcached System.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Application-Agnostic Batch Workload Management in Cloud Environments.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Deconstructing the Energy Consumption of the Mobile Page Load.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Rethinking TCP Throughput and Latency Modeling.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Improving server utilization via resource-adaptive batch VMs: poster.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos, Las Vegas, NV, USA, December 11, 2017

Realizing an elastic memcached via cached data migration: poster.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos, Las Vegas, NV, USA, December 11, 2017

Modeling and Analysis of Performance Under Interference in the Cloud.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017

DIAL: Reducing Tail Latencies for Cloud Applications via Dynamic Interference-aware Load Balancing.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

2016
Using Predictions in Online Optimization: Looking Forward with an Eye on the Past.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Analyzing the Power Consumption of the Mobile Page Load.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

UIE: User-Centric Interference Estimation for Cloud Applications.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Autoscaling for Hadoop Clusters.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Using machine learning for black-box autoscaling.
Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016

Minimizing electricity cost for geo-distributed interactive services with tail latency constraint.
Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016

2015
Optimal Load-Balancing for Heterogeneous Clusters.
SIGMETRICS Perform. Evaluation Rev., 2015

Analyzing the Network for AWS Distributed Cloud Computing.
SIGMETRICS Perform. Evaluation Rev., 2015

HALO: Heterogeneity-Aware Load Balancing.
Proceedings of the 23rd IEEE International Symposium on Modeling, 2015

The Unobservability Problem in Clouds.
Proceedings of the 2015 International Conference on Cloud and Autonomic Computing, 2015

Model-Driven Autoscaling for Hadoop Clusters.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

2014
Exact analysis of the M/M/k/setup class of Markov chains via recursive renewal reward.
Queueing Syst. Theory Appl., 2014

Modeling the Impact of Workload on Cloud Resource Scaling.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

Adaptive, Model-driven Autoscaling for Cloud Applications.
Proceedings of the 11th International Conference on Autonomic Computing, 2014

2013
<i>M</i>/<i>G</i>/<i>k</i>M/G/k with staggered setup.
Oper. Res. Lett., 2013

2012
AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers.
ACM Trans. Comput. Syst., 2012

Hybrid resource provisioning for minimizing data center SLA violations and power consumption.
Sustain. Comput. Informatics Syst., 2012

SOFTScale: Stealing Opportunistically for Transient Scaling.
Proceedings of the Middleware 2012, 2012

Saving Cash by Using Less Cache.
Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing, 2012

Are sleep states effective in data centers?
Proceedings of the 2012 International Green Computing Conference, 2012

2011
The case for sleep states in servers.
Proceedings of the 4th Workshop on Power-Aware Computing and Systems, 2011

Minimizing data center SLA violations and power consumption via hybrid resource provisioning.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

How data center size impacts the effectiveness of dynamic power management.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Decomposition results for an m/m/k with staggered setup.
SIGMETRICS Perform. Evaluation Rev., 2010

Server farms with setup costs.
Perform. Evaluation, 2010

Optimality analysis of energy-performance trade-off for server farm management.
Perform. Evaluation, 2010

2009
Optimal power allocation in server farms.
Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, 2009

2006
Database Summarization and Publishing in Wireless Environments.
Proceedings of the Distributed Computing and Networking, 8th International Conference, 2006


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