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Chandrashekar Jatoth
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2020 – today
- 2024
- [j18]Ankur Jain, Chandrashekar Jatoth, G. R. Gangadharan:
Bi-level optimization of resource allocation and appliance scheduling in residential areas using a Fog of Things (FOT) framework. Clust. Comput. 27(1): 219-229 (2024) - [j17]M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Deepak Gupta:
Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system. Expert Syst. J. Knowl. Eng. 41(1) (2024) - [j16]Narayana Potu, Chandrashekar Jatoth, Premchand Parvataneni:
Optimum Batch Scheduling Model for Quality Aware Delay Sensitive Data Transmission over Fog Enabled IOT Network. Scalable Comput. Pract. Exp. 25(2): 1152-1166 (2024) - [c4]Chandrashekar Jatoth, Sourabh Patil:
Price Optimization in Smart Grids through Blockchain in Cloud Computing based on Collocation Game Theory. ICSCA 2024: 339-344 - 2022
- [j15]Narayana Potu, Sreedhar Bhukya, Chandrashekar Jatoth, Premchand Parvataneni:
Quality-aware energy efficient scheduling model for fog computing comprised IoT network. Comput. Electr. Eng. 97: 107603 (2022) - [j14]M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Aldosary Saad, Abdullah Alharbi, Lewis Nkenyereye:
Blockchain based secure and reliable Cyber Physical ecosystem for vaccine supply chain. Comput. Commun. 191: 173-183 (2022) - [j13]Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore, Subrahmanyam Chatharasupalli:
Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning. Future Internet 14(1): 16 (2022) - [j12]Chandrashekar Jatoth, Neelima E., Mayuri A. V. R., Sreenivasa Rao Annaluri:
Effective monitoring and prediction of Parkinson disease in Smart Cities using intelligent health care system. Microprocess. Microsystems 92: 104547 (2022) - [c3]Gillala Rekha, K. Shailaja, Chandrashekar Jatoth:
Informative Software Defect Data Generation and Prediction: INF-SMOTE. ICACDS (1) 2022: 179-191 - 2021
- [j11]Avik Dutta, Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore:
QoS-aware big service composition using distributed co-evolutionary algorithm. Concurr. Comput. Pract. Exp. 33(19) (2021) - [j10]Narayana Potu, Chandrashekar Jatoth, Premchand Parvataneni:
Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments. Concurr. Comput. Pract. Exp. 33(23) (2021) - [j9]Gillala Rekha, Vuyyuru Krishna Reddy, Chandrashekar Jatoth, Ugo Fiore:
An efficient chaotic salp swarm optimization approach based on ensemble algorithm for class imbalance problems. Soft Comput. 25(23): 14955-14965 (2021) - 2020
- [j8]Bhattu Bhaskar, Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore:
A MapReduce-based modified Grey Wolf optimizer for QoS-aware big service composition. Concurr. Comput. Pract. Exp. 32(8) (2020)
2010 – 2019
- 2019
- [j7]Siva Kumar Gavvala, Chandrashekar Jatoth, G. R. Gangadharan, Rajkumar Buyya:
QoS-aware cloud service composition using eagle strategy. Future Gener. Comput. Syst. 90: 273-290 (2019) - [j6]Chandrashekar Jatoth, G. R. Gangadharan, Rajkumar Buyya:
Optimal Fitness Aware Cloud Service Composition using an Adaptive Genotypes Evolution based Genetic Algorithm. Future Gener. Comput. Syst. 94: 185-198 (2019) - [j5]Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore, Rajkumar Buyya:
SELCLOUD: a hybrid multi-criteria decision-making model for selection of cloud services. Soft Comput. 23(13): 4701-4715 (2019) - [j4]Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore:
Optimal fitness aware cloud service composition using modified invasive weed optimization. Swarm Evol. Comput. 44: 1073-1091 (2019) - 2018
- [j3]Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore, Rajkumar Buyya:
QoS-aware Big service composition using MapReduce based evolutionary algorithm with guided mutation. Future Gener. Comput. Syst. 86: 1008-1018 (2018) - 2017
- [j2]Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore:
Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis. Soft Comput. 21(23): 7221-7234 (2017) - [j1]Chandrashekar Jatoth, G. R. Gangadharan, Rajkumar Buyya:
Computational Intelligence Based QoS-Aware Web Service Composition: A Systematic Literature Review. IEEE Trans. Serv. Comput. 10(3): 475-492 (2017) - 2015
- [c2]Chandrashekar Jatoth, G. R. Gangadharan:
QoS-Aware Web Service Composition Using Quantum Inspired Particle Swarm Optimization. KES-IDT 2015: 255-265 - [c1]Chandrashekar Jatoth, G. R. Gangadharan:
Fitness Metrics for QoS-Aware Web Service Composition Using Metaheuristics. KES-IDT 2015: 267-277
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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