Recovery from software failures caused by mandelbugs M Grottke, DS Kim, R Mansharamani, M Nambiar, R Natella, KS Trivedi IEEE Transactions on Reliability 65 (1), 70-87, 2015 | 43 | 2015 |
Recovery from failures due to mandelbugs in it systems KS Trivedi, R Mansharamani, DS Kim, M Grottke, M Nambiar 2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing …, 2011 | 36 | 2011 |
System and method facilitating performance prediction of multi-threaded application in presence of resource bottlenecks S Duttagupta, RS Virk, MK Nambiar US Patent 9,317,330, 2016 | 24 | 2016 |
Predicting sql query execution time for large data volume R Singhal, M Nambiar Proceedings of the 20th International Database Engineering & Applications …, 2016 | 22 | 2016 |
Performance modeling of multi-tiered web applications with varying service demands A Kattepur, M Nambiar 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 20 | 2015 |
A quantum-classical hybrid method for image classification and segmentation S Pramanik, MG Chandra, CV Sridhar, A Kulkarni, P Sahoo, CDV Vishwa, ... 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 450-455, 2022 | 19 | 2022 |
Cracking the monolith: Challenges in data transitioning to cloud native architectures M Mishra, S Kunde, M Nambiar Proceedings of the 12th European Conference on Software Architecture …, 2018 | 19 | 2018 |
Performance prediction of IoT application: an experimental analysis S Duttagupta, M Kumar, R Ranjan, M Nambiar Proceedings of the 6th International Conference on the Internet of Things, 43-51, 2016 | 19 | 2016 |
Maximum likelihood estimation of closed queueing network demands from queue length data W Wang, G Casale, A Kattepur, M Nambiar Proceedings of the 7th ACM/SPEC on International Conference on Performance …, 2016 | 16 | 2016 |
A Tutorial On Modelling Call Centres Using Discrete Event Simulation. B Mathew, MK Nambiar ECMS, 315-321, 2013 | 15 | 2013 |
Systems and methods for predicting performance of applications on an internet of things (IoT) platform S Duttagupta, M Kumar, MK Nambiar US Patent 10,338,967, 2019 | 14 | 2019 |
Model driven software performance engineering: Current challenges and way ahead M Nambiar, A Kattepur, G Bhaskaran, R Singhal, S Duttagupta ACM SIGMETRICS Performance Evaluation Review 43 (4), 53-62, 2016 | 12 | 2016 |
Cross Training-Is it a Panacea for all Call Center Ills? B Mathew, MK Nambiar Proceedings of the International MultiConference of Engineers and Computer …, 2012 | 12 | 2012 |
Migrating a recommendation system to cloud using ml workflow D Chahal, R Ojha, SR Choudhury, M Nambiar Companion of the ACM/SPEC International Conference on Performance …, 2020 | 11 | 2020 |
Method and system for pre-deployment performance estimation of input-output intensive workloads D Chahal, RS Virk, MK Nambiar US Patent 10,558,549, 2020 | 11 | 2020 |
Service demand modeling and performance prediction with single-user tests A Kattepur, M Nambiar Performance evaluation 110, 1-21, 2017 | 11 | 2017 |
Predicting performance in the presence of software and hardware resource bottlenecks S Duttagupta, R Virk, M Nambiar International Symposium on Performance Evaluation of Computer and …, 2014 | 11 | 2014 |
WANem: The Wide Area Network Emulator M Nambiar, HK Kalita, D Mishra, S Rane, P Pardeshi Performance Engineering Research Centre, Mumbai, 2009 | 9 | 2009 |
High performance distributed in-memory architectures for trade surveillance system R Bansod, S Kadarkar, R Virk, M Raval, R Rashinkar, M Nambiar 2018 17th International Symposium on Parallel and Distributed Computing …, 2018 | 7 | 2018 |
Predicting performance of a software application over a target system D Chahal, S Duttagupta, MK Nambiar US Patent 9,971,669, 2018 | 7 | 2018 |