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Rajni Aron

dblp:94/10192 · DBLP profile ↗
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10ranked-venue papers
6as first author
5since 2021 · last 2023
0000-0001-5162-8509ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 8 · 4 first-author · 4 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
YearPublicationVenuePosition
2023 Optimized task scheduling and preemption for distributed resource management in fog-assisted IoT environment
Heena Wadhwa, Rajni Aron
 J. Supercomput.2
2022 Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence
Rajni Aron, Ajith Abraham
 Eng. Appl. Artif. Intell.1
2022 TRAM: Technique for resource allocation and management in fog computing environment
Heena Wadhwa, Rajni Aron
 J. Supercomput.2
2021 FOCALB: Fog Computing Architecture of Load Balancing for Scientific Workflow Applications
Mandeep Kaur Saroa, Rajni Aron
 J. Grid Comput.2
2021 A systematic study of load balancing approaches in the fog computing environment
Mandeep Kaur Saroa, Rajni Aron
 J. Supercomput.2
2015 A hyper-heuristic approach for resource provisioning-based scheduling in grid environment
Rajni Aron, Inderveer Chana, Ajith Abraham
 J. Supercomput.1
2013 Hyper-heuristic Based Resource Scheduling in Grid Environment
abstract
An efficient management of the resources in Grid computing crucially depends on the efficient mapping of the jobs to resources according to the user's requirements. Grid resources scheduling has become a challenge in the computational Grid. The mapping of the jobs to appropriate resources for execution of the application in Grid computing is an NP-Complete problem. In this paper, hyper-heuristic based resource scheduling algorithm is designed to effectively schedule the jobs on available resources in a Grid environment. The performance of the proposed algorithm is evaluated using the GridSim toolkit. Empirical results illustrate that our algorithm outperformed the existing algorithm by minimizing cost and make span of user's submitted applications.
Rajni Aron, Inderveer Chana, Ajith Abraham
 SMC1
2013 Bacterial foraging based hyper-heuristic for resource scheduling in grid computing
Rajni Aron, Inderveer Chana
 Future Gener. Comput. Syst.1
2013 QoS based resource provisioning and scheduling in grids
Rajni Aron, Inderveer Chana
 J. Supercomput.1
2012 Formal QoS Policy Based Grid Resource Provisioning Framework
Rajni Aron, Inderveer Chana
 J. Grid Comput.1