Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters J Kumar, R Goomer, AK Singh Procedia Computer Science 125, 676-682, 2018 | 401 | 2018 |
Workload prediction in cloud using artificial neural network and adaptive differential evolution J Kumar, AK Singh Future Generation Computer Systems 81, 41-52, 2018 | 279 | 2018 |
Self directed learning based workload forecasting model for cloud resource management J Kumar, AK Singh, R Buyya Information Sciences, 2020 | 106 | 2020 |
A secure and multiobjective virtual machine placement framework for cloud data center D Saxena, I Gupta, J Kumar, AK Singh, X Wen IEEE Systems Journal 16 (2), 3163-3174, 2021 | 98 | 2021 |
BiPhase adaptive learning based neural network model for cloud datacenter workload forecasting J Kumar, D Saxena, AK Singh, A Mohan Soft Computing 24, 14593-14610, 2020 | 81 | 2020 |
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads AK Singh, D Saxena, J Kumar, V Gupta IEEE Transactions on Parallel and Distributed Systems, 1-1, 2021 | 78 | 2021 |
Secure and energy aware load balancing framework for cloud data centre networks AK Singh, J Kumar Electronics Letters 55 (9), 540-541, 2019 | 68 | 2019 |
Credit card fraud detection using machine learning: a study P Tiwari, S Mehta, N Sakhuja, J Kumar, AK Singh arXiv preprint arXiv:2108.10005, 2021 | 59 | 2021 |
Stock Market Forecasting using Machine Learning: Today and Tomorrow S Singh, TK Madan, J Kumar, AK Singh 2019 2nd International Conference on Intelligent Computing, Instrumentation …, 2019 | 58 | 2019 |
Ensemble learning based predictive framework for virtual machine resource request prediction J Kumar, AK Singh, R Buyya Neurocomputing 397, 20-30, 2020 | 55 | 2020 |
Dynamic Resource Scaling in Cloud Using Neural Network and Blackhole Algorithm J Kumar, AK Singh International Conference on Eco-friendly Computing and Communication Systems …, 2016 | 50 | 2016 |
Cloud datacenter workload estimation using error preventive time series forecasting models J Kumar, AK Singh Cluster Computing 23, 1363-1379, 2020 | 39 | 2020 |
Resource-efficient load-balancing framework for cloud data center networks J Kumar, AK Singh, A Mohan ETRI Journal, 2020 | 36 | 2020 |
Performance analysis of machine learning centered workload prediction models for cloud D Saxena, J Kumar, AK Singh, S Schmid IEEE Transactions on Parallel and Distributed Systems 34 (4), 1313-1330, 2023 | 32 | 2023 |
Decomposition based cloud resource demand prediction using extreme learning machines J Kumar, AK Singh Journal of Network and Systems Management, 2020 | 30 | 2020 |
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment J Kumar, AK Singh Applied Soft Computing 113, 107895, 2021 | 29 | 2021 |
Cloud Resource Demand Prediction using Differential Evolution based learning J Kumar, AK Singh 2019 7th International Conference on Smart Computing & Communications (ICSCC …, 2019 | 29 | 2019 |
Internet of Things and Its Challenges M Dixit, J Kumar, R Kumar International Conference on Green Computing and Internet of Things, 2015 | 28 | 2015 |
Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks' Workload Prediction J Kumar, AK Singh Wireless Personal Communications, 2020 | 27 | 2020 |
GPU based Parallel Cooperative Particle Swarm Optimization using C-CUDA: A Case Study J Kumar, L Singh, S Paul IEEE International Conference on Fuzzy Systems (FUZZ-2013), 2013 | 26 | 2013 |