Large-scale cluster management at Google with Borg A Verma, L Pedrosa, M Korupolu, D Oppenheimer, E Tune, J Wilkes Proceedings of the tenth european conference on computer systems, 1-17, 2015 | 1832 | 2015 |
Aria: automatic resource inference and allocation for mapreduce environments A Verma, L Cherkasova, RH Campbell Proceedings of the 8th ACM international conference on Autonomic computing …, 2011 | 605 | 2011 |
Machine learning based intrusion detection systems for IoT applications A Verma, V Ranga Wireless Personal Communications 111 (4), 2287-2310, 2020 | 341 | 2020 |
Resource provisioning framework for mapreduce jobs with performance goals A Verma, L Cherkasova, RH Campbell Middleware 2011: ACM/IFIP/USENIX 12th International Middleware Conference …, 2011 | 248 | 2011 |
Scaling genetic algorithms using mapreduce A Verma, X Llora, DE Goldberg, RH Campbell 2009 ninth international conference on intelligent systems design and …, 2009 | 235 | 2009 |
Security of RPL based 6LoWPAN Networks in the Internet of Things: A Review A Verma, V Ranga IEEE Sensors Journal 20 (11), 5666-5690, 2020 | 170 | 2020 |
Statistical analysis of CIDDS-001 dataset for network intrusion detection systems using distance-based machine learning A Verma, V Ranga Procedia Computer Science 125, 709-716, 2018 | 142 | 2018 |
ELNIDS: Ensemble learning based network intrusion detection system for RPL based Internet of Things A Verma, V Ranga 2019 4th International conference on Internet of Things: Smart innovation …, 2019 | 131 | 2019 |
Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports A Verma, SD Khan, J Maiti, OB Krishna Safety science 70, 89-98, 2014 | 131 | 2014 |
Two sides of a coin: Optimizing the schedule of mapreduce jobs to minimize their makespan and improve cluster performance A Verma, L Cherkasova, RH Campbell 2012 IEEE 20th international symposium on modeling, analysis and simulation …, 2012 | 123 | 2012 |
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle A Verma, L Cherkasova, VS Kumar, RH Campbell 2012 IEEE Network Operations and Management Symposium, 900-905, 2012 | 116 | 2012 |
Breaking the MapReduce stage barrier A Verma, B Cho, N Zea, I Gupta, RH Campbell Cluster computing 16, 191-206, 2013 | 106 | 2013 |
Prediction of malignant and benign breast cancer: A data mining approach in healthcare applications V Kumar, BK Mishra, M Mazzara, DNH Thanh, A Verma Advances in Data Science and Management: Proceedings of ICDSM 2019, 435-442, 2020 | 103 | 2020 |
Influence of cooling rate on the Fe intermetallic formation in an AA6063 Al alloy A Verma, S Kumar, PS Grant, KAQ O’Reilly Journal of Alloys and Compounds 555, 274-282, 2013 | 103 | 2013 |
Play it again, simmr! A Verma, L Cherkasova, RH Campbell 2011 IEEE International Conference on Cluster Computing, 253-261, 2011 | 103 | 2011 |
Biosensors: principle, types and applications S Malhotra, A Verma, N Tyagi, V Kumar Int. J. Adv. Res. Innov. Ideas Educ 3 (2), 3639-3644, 2017 | 86 | 2017 |
Creating a model relating to execution of a job on platforms L Cherkasova, A Verma US Patent App. 13/751,262, 2014 | 85 | 2014 |
Estimating a performance parameter of a job having map and reduce tasks after a failure L Cherkasova, A Verma US Patent 9,244,751, 2016 | 81 | 2016 |
Mithra: Multiple data independent tasks on a heterogeneous resource architecture R Farivar, A Verma, EM Chan, RH Campbell 2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009 | 81 | 2009 |
Orchestrating an ensemble of MapReduce jobs for minimizing their makespan A Verma, L Cherkasova, RH Campbell IEEE Transactions on dependable and secure Computing 10 (5), 314-327, 2013 | 79 | 2013 |