default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnshul Gandhi
Person information
- affiliation: Stony Brook University, NY, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j19]Tyler Estro
, Mário Antunes, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl A. Waldspurger, Avani Wildani, Erez Zadok:
Accelerating multi-tier storage cache simulations using knee detection. Perform. Evaluation 164: 102410 (2024)- [c62]Rebecca Drucker, Gauri Baraskar, Aruna Balasubramanian, Anshul Gandhi:
BBR vs. BBRv2: A Performance Evaluation. COMSNETS 2024: 379-387 - [c61]Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan:
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. NSDI 2024 - [c60]Debajyoti Halder, Manas Acharya, Aniket Malsane, Anshul Gandhi, Erez Zadok:
Empirical Evaluation of ML Models for Per-Job Power Prediction. ICPE (Companion) 2024: 181-188 - [c59]Gagan Somashekar, Anurag Dutt, Mainak Adak, Tania Lorido-Botran, Anshul Gandhi:
GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. WWW 2024: 3085-3095 - 2023
- [j18]Gagan Somashekar, Mohammad Delasay, Anshul Gandhi:
Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues. Perform. Evaluation 162: 102356 (2023) - [c58]Peter Desnoyers, Ian F. Adams, Tyler Estro, Anshul Gandhi, Geoff Kuenning, Michael P. Mesnier, Carl A. Waldspurger, Avani Wildani, Erez Zadok:
Persistent Memory Research in the Post-Optane Era. DIMES@SOSP 2023: 23-30 - [c57]Anurag Dutt, Sri Pramodh Rachuri, Ashley Lobo, Nazeer Shaik, Anshul Gandhi, Zhenhua Liu:
Evaluating the energy impact of device parameters for DNN inference on edge. IGSC 2023: 52-55 - [c56]Tyler Estro, Mário Antunes, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl A. Waldspurger, Avani Wildani, Erez Zadok:
Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection. MASCOTS 2023: 1-8 - [i2]Syed Rafiul Hussain, Patrick D. McDaniel, Anshul Gandhi, Kanad Ghose, Kartik Gopalan, Dongyoon Lee, Yu David Liu, Zhenhua Liu, Shuai Mu, Erez Zadok:
Verifiable Sustainability in Data Centers. CoRR abs/2307.11993 (2023) - 2022
- [j17]Seyyed Ahmad Javadi, Anshul Gandhi:
User-Centric Interference-Aware Load Balancing for Cloud-Deployed Applications. IEEE Trans. Cloud Comput. 10(1): 736-748 (2022) - [c55]Gagan Somashekar, Amoghavarsha Suresh, Saurabh Tyagi, Vikas Dhyani, Krishna Chaitanya Donkada, Anurag Pradhan, Anshul Gandhi:
Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning. ACSOS 2022: 111-120 - [c54]Sri Pramodh Rachuri, Arun Gantasala, Prajeeth Emanuel, Anshul Gandhi, Robert Foley, Peter Puhov, Theodoros Gkountouvas, Hui Lei:
Optimizing Near-Data Processing for Spark. ICDCS 2022: 636-646 - [c53]Santiago Vargas, Gautham Gunapati, Anshul Gandhi, Aruna Balasubramanian:
Are mobiles ready for BBR? IMC 2022: 551-559 - [c52]Gagan Somashekar, Mohammad Delasay, Anshul Gandhi:
Truncating Multi-Dimensional Markov Chains With Accuracy Guarantee. MASCOTS 2022: 121-128 - [c51]Gagan Somashekar, Anurag Dutt, Rohith Vaddavalli, Sai Bhargav Varanasi, Anshul Gandhi:
B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks. ICPE (Companion) 2022: 7-11 - 2021
- [j16]Anshul Gandhi, Negar Kiyavash, Jia Wang:
Editorial. Proc. ACM Meas. Anal. Comput. Syst. 5(2): 13:1 (2021) - [c50]Amoghavarsha Suresh, Anshul Gandhi:
ServerMore: Opportunistic Execution of Serverless Functions in the Cloud. SoCC 2021: 570-584 - [c49]Gagan Somashekar, Anshul Gandhi:
Towards Optimal Configuration of Microservices. EuroMLSys@EuroSys 2021: 7-14 - [c48]Ubaid Ullah Hafeez, Xiao Sun, Anshul Gandhi, Zhenhua Liu:
Towards optimal placement and scheduling of DNN operations with Pesto. Middleware 2021: 39-51 - [c47]Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian, Anshul Gandhi:
BBR Bufferbloat in DASH Video. WWW 2021: 329-341 - [e2]Longbo Huang, Anshul Gandhi, Negar Kiyavash, Jia Wang:
SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Virtual Event, China, June 14-18, 2021. ACM 2021, ISBN 978-1-4503-8072-0 [contents] - 2020
- [j15]Muhammad Wajahat, Aditya Yele, Tyler Estro, Anshul Gandhi, Erez Zadok:
Analyzing the distribution fit for storage workload and Internet traffic traces. Perform. Evaluation 142: 102121 (2020) - [j14]Anshul Gandhi, Parijat Dube, Alexei A. Karve, Andrzej Kochut, Li Zhang:
Providing Performance Guarantees for Cloud-Deployed Applications. IEEE Trans. Cloud Comput. 8(1): 269-281 (2020) - [c46]Amoghavarsha Suresh, Gagan Somashekar, Anandh Varadarajan, Veerendra Ramesh Kakarla, Hima Upadhyay, Anshul Gandhi:
ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments. ACSOS 2020: 1-10 - [c45]Muhammad Wajahat, Bharath Balasubramanian, Anshul Gandhi, Gueyoung Jung, Shankaranarayanan Puzhavakath Narayanan:
MERIT: Model-driven Rehoming for VNF Chains. ACSOS 2020: 139-145 - [c44]Ubaid Ullah Hafeez, Anshul Gandhi:
Empirical Analysis and Modeling of Compute Times of CNN Operations on AWS Cloud. IISWC 2020: 181-192
2010 – 2019
- 2019
- [j13]Gagan Somashekar, Mohammad Delasay, Anshul Gandhi:
Tighter Lyapunov Truncation for Multi-Dimensional Continuous Time Markov Chains with Known Moments. SIGMETRICS Perform. Evaluation Rev. 47(2): 33-35 (2019) - [j12]Muhammad Wajahat, Alexei A. Karve, Andrzej Kochut, Anshul Gandhi:
MLscale: A machine learning based application-agnostic autoscaler. Sustain. Comput. Informatics Syst. 22: 287-299 (2019) - [c43]Seyyed Ahmad Javadi, Amoghavarsha Suresh, Muhammad Wajahat, Anshul Gandhi:
Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments. SoCC 2019: 272-285 - [c42]K. R. Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao:
Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study. ICAC 2019: 105-114 - [c41]Ubaid Ullah Hafeez, Alexei A. Karve, Braulio Dumba, Anshul Gandhi, Sai Zeng:
Towards Automated Patch Management in a Hybrid Cloud. ICSOC 2019: 345-350 - [c40]Yi Cao, Arpit Jain, Kriti Sharma, Aruna Balasubramanian, Anshul Gandhi:
When to use and when not to use BBR: An empirical analysis and evaluation study. Internet Measurement Conference 2019: 130-136 - [c39]Yi Cao, Javad Nejati, Aruna Balasubramanian, Anshul Gandhi:
ECON: Modeling the network to improve application performance. Internet Measurement Conference 2019: 365-378 - [c38]Muhammad Wajahat, Aditya Yele, Tyler Estro, Anshul Gandhi, Erez Zadok:
Distribution Fitting and Performance Modeling for Storage Traces. MASCOTS 2019: 138-151 - [c37]Scott Votke, Jazeem Abdul Jaleel, Amoghavarsha Suresh, Mohammad Delasay, Sherwin Doroudi, Anshul Gandhi:
Optimal Markovian Dynamic Control of Interference-Prone Server Farms. MASCOTS 2019: 295-308 - [c36]Anshul Gandhi, Amoghavarsha Suresh:
Leveraging Queueing Theory and OS Profiling to Reduce Application Latency. Middleware Tutorials 2019: 1-5 - [c35]Amoghavarsha Suresh, Anshul Gandhi:
FnSched: An Efficient Scheduler for Serverless Functions. WOSC@Middleware 2019: 19-24 - [c34]Vasudevan Nagendra, Arani Bhattacharya, Anshul Gandhi, Samir R. Das:
MMLite: A Scalable and Resource Efficient Control Plane for Next Generation Cellular Packet Core. SOSR 2019: 69-83 - [c33]Amoghavarsha Suresh, Anshul Gandhi:
Using Variability as a Guiding Principle to Reduce Latency in Web Applications via OS Profiling. WWW 2019: 1759-1770 - [i1]Anjul Kumar Tyagi, Ayush Kumar, Anshul Gandhi, Klaus Mueller:
Road Accidents in the UK (Analysis and Visualization). CoRR abs/1908.02122 (2019) - 2018
- [j11]Anshul Gandhi, Parijat Dube, Alexei A. Karve, Andrzej Kochut, Li Zhang:
Model-driven optimal resource scaling in cloud. Softw. Syst. Model. 17(2): 509-526 (2018) - [c32]Seyyed Ahmad Javadi, Shalini Bhaskara, Rahul Doshi, Prashanth Soundarapandian, Muhammad Wajahat, Anshul Gandhi:
Application-Agnostic Batch Workload Management in Cloud Environments. SoCC 2018: 504 - [c31]Ubaid Ullah Hafeez, Muhammad Wajahat, Anshul Gandhi:
ElMem: Towards an Elastic Memcached System. ICDCS 2018: 278-289 - [c30]Seyyed Ahmad Javadi, Harsh Gupta, Robin Manhas, Shweta Sahu, Anshul Gandhi:
EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot. ICDCS 2018: 1432-1437 - [c29]Kirk Roberts, Yuqi Si, Anshul Gandhi, Elmer V. Bernstam:
A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation. LREC 2018 - [c28]Muhammad Wajahat, Bharath Balasubramanian, Anshul Gandhi, Gueyoung Jung, Shankaranarayanan Puzhavakath Narayanan:
A Model-Driven Graybox Approach to Rehoming Service Chains. MASCOTS 2018: 116-122 - 2017
- [j10]Yi Cao, Javad Nejati, Muhammad Wajahat, Aruna Balasubramanian, Anshul Gandhi:
Deconstructing the Energy Consumption of the Mobile Page Load. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 6:1-6:25 (2017) - [c27]Muhammad Wajahat, Salman Masood, Abhinav Sau, Anshul Gandhi:
Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application. IGSC 2017: 1-6 - [c26]Seyyed Ahmad Javadi, Anshul Gandhi:
DIAL: Reducing Tail Latencies for Cloud Applications via Dynamic Interference-aware Load Balancing. ICAC 2017: 135-144 - [c25]Scott Votke, Seyyed Ahmad Javadi, Anshul Gandhi:
Modeling and Analysis of Performance Under Interference in the Cloud. MASCOTS 2017: 232-243 - [c24]Ubaid Ullah Hafeez, Deepthi Male, Sharath Kumar Naeni, Muhammad Wajahat, Anshul Gandhi:
Realizing an elastic memcached via cached data migration: poster. Middleware Posters and Demos 2017: 3-4 - [c23]Seyyed Ahmad Javadi, Piyush Shyam Banginwar, Vaishali Chanana, Rashmi Narvekar, Mitesh Kumar Savita, Anshul Gandhi:
Improving server utilization via resource-adaptive batch VMs: poster. Middleware Posters and Demos 2017: 11-12 - [c22]Yi Cao, Aruna Balasubramanian, Anshul Gandhi:
Rethinking TCP Throughput and Latency Modeling. SIGCOMM Posters and Demos 2017: 85-87 - [c21]Yi Cao, Javad Nejati, Muhammad Wajahat, Aruna Balasubramanian, Anshul Gandhi:
Deconstructing the Energy Consumption of the Mobile Page Load. SIGMETRICS (Abstracts) 2017: 68 - [e1]K. R. Jayaram, Anshul Gandhi, Bettina Kemme, Peter R. Pietzuch:
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11 - 15, 2017. ACM 2017, ISBN 978-1-4503-4720-4 [contents] - 2016
- [c20]Mohammad A. Islam, Anshul Gandhi, Shaolei Ren:
Minimizing electricity cost for geo-distributed interactive services with tail latency constraint. IGSC 2016: 1-8 - [c19]Muhammad Wajahat, Anshul Gandhi, Alexei A. Karve, Andrzej Kochut:
Using machine learning for black-box autoscaling. IGSC 2016: 1-8 - [c18]Anshul Gandhi, Sidhartha Thota, Parijat Dube, Andrzej Kochut, Li Zhang:
Autoscaling for Hadoop Clusters. IC2E 2016: 109-118 - [c17]Seyyed Ahmad Javadi, Sagar Mehra, Bharath Kumar Reddy Vangoor, Anshul Gandhi:
UIE: User-Centric Interference Estimation for Cloud Applications. IC2E 2016: 119-122 - [c16]Niangjun Chen, Joshua Comden, Zhenhua Liu, Anshul Gandhi, Adam Wierman:
Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. SIGMETRICS 2016: 193-206 - [c15]Yi Cao, Javad Nejati, Pavan Maguluri, Aruna Balasubramanian, Anshul Gandhi:
Analyzing the Power Consumption of the Mobile Page Load. SIGMETRICS 2016: 369-370 - 2015
- [j9]Anshul Gandhi, Justin Chan:
Analyzing the Network for AWS Distributed Cloud Computing. SIGMETRICS Perform. Evaluation Rev. 43(3): 12-15 (2015) - [j8]Anshul Gandhi, Naman Mittal, Xi Zhang:
Optimal Load-Balancing for Heterogeneous Clusters. SIGMETRICS Perform. Evaluation Rev. 43(3): 43 (2015) - [c14]Anshul Gandhi, Parijat Dube, Andrzej Kochut, Li Zhang:
Model-Driven Autoscaling for Hadoop Clusters. ICAC 2015: 155-156 - [c13]Anshul Gandhi, Parijat Dube, Alexei A. Karve, Andrzej Kochut, Harsha Ellanti:
The Unobservability Problem in Clouds. ICCAC 2015: 13-20 - [c12]Anshul Gandhi, Xi Zhang, Naman Mittal:
HALO: Heterogeneity-Aware Load Balancing. MASCOTS 2015: 242-251 - 2014
- [j7]Anshul Gandhi, Sherwin Doroudi, Mor Harchol-Balter, Alan Scheller-Wolf:
Exact analysis of the M/M/k/setup class of Markov chains via recursive renewal reward. Queueing Syst. Theory Appl. 77(2): 177-209 (2014) - [c11]Anshul Gandhi, Parijat Dube, Alexei A. Karve, Andrzej Kochut, Li Zhang:
Adaptive, Model-driven Autoscaling for Cloud Applications. ICAC 2014: 57-64 - [c10]Anshul Gandhi, Parijat Dube, Alexei A. Karve, Andrzej Kochut, Li Zhang:
Modeling the Impact of Workload on Cloud Resource Scaling. SBAC-PAD 2014: 310-317 - 2013
- [j6]Anshul Gandhi, Mor Harchol-Balter:
M/G/kM/G/k with staggered setup. Oper. Res. Lett. 41(4): 317-320 (2013) - [c9]Anshul Gandhi, Sherwin Doroudi, Mor Harchol-Balter, Alan Scheller-Wolf:
Exact analysis of the M/M/k/setup class of Markov chains via recursive renewal reward. SIGMETRICS 2013: 153-166 - 2012
- [j5]Anshul Gandhi, Yuan Chen, Daniel Gmach, Martin F. Arlitt, Manish Marwah:
Hybrid resource provisioning for minimizing data center SLA violations and power consumption. Sustain. Comput. Informatics Syst. 2(2): 91-104 (2012) - [j4]Anshul Gandhi, Mor Harchol-Balter, Ram Raghunathan, Michael A. Kozuch:
AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers. ACM Trans. Comput. Syst. 30(4): 14:1-14:26 (2012) - [c8]Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch:
Are sleep states effective in data centers? IGCC 2012: 1-10 - [c7]Timothy Zhu, Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch:
Saving Cash by Using Less Cache. HotCloud 2012 - [c6]Anshul Gandhi, Timothy Zhu, Mor Harchol-Balter, Michael A. Kozuch:
SOFTScale: Stealing Opportunistically for Transient Scaling. Middleware 2012: 142-163 - 2011
- [c5]Anshul Gandhi, Mor Harchol-Balter:
How data center size impacts the effectiveness of dynamic power management. Allerton 2011: 1164-1169 - [c4]Anshul Gandhi, Yuan Chen, Daniel Gmach, Martin F. Arlitt, Manish Marwah:
Minimizing data center SLA violations and power consumption via hybrid resource provisioning. IGCC 2011: 1-8 - [c3]Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch:
The case for sleep states in servers. HotPower@SOSP 2011: 2:1-2:5 - 2010
- [j3]Anshul Gandhi, Mor Harchol-Balter, Ivo J. B. F. Adan:
Server farms with setup costs. Perform. Evaluation 67(11): 1123-1138 (2010) - [j2]Anshul Gandhi, Varun Gupta, Mor Harchol-Balter, Michael A. Kozuch:
Optimality analysis of energy-performance trade-off for server farm management. Perform. Evaluation 67(11): 1155-1171 (2010) - [j1]Anshul Gandhi, Mor Harchol-Balter, Ivo J. B. F. Adan:
Decomposition results for an m/m/k with staggered setup. SIGMETRICS Perform. Evaluation Rev. 38(2): 48-50 (2010)
2000 – 2009
- 2009
- [c2]Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles Lefurgy:
Optimal power allocation in server farms. SIGMETRICS/Performance 2009: 157-168 - 2006
- [c1]Anshul Gandhi, R. K. Ghosh:
Database Summarization and Publishing in Wireless Environments. ICDCN 2006: 342-348
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
