Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Neelam Panwar"'
Publikováno v:
The Journal of Supercomputing. 77:8787-8839
A hybrid of supervised (artificial neural network), unsupervised (clustering) machine learning, and soft computing (interval type 2 fuzzy logic system)-based load balancing algorithm, i.e., clustering-based multiple objective dynamic load balancing t
Publikováno v:
Cluster Computing. 22:1379-1396
Cloud computing is an emerging paradigm that offers various services for both users and enterprisers. Scheduling of user tasks among data centers, host and virtual machines (VMs) becomes challenging issues in cloud due to involvement of vast number o
Publikováno v:
Applied Soft Computing. 113:107963
Load balancing in the cloud environment is a NP-hard problem. To address this problem, a new hybridized soft computing inspired technique named Clustering based Artificial Neural Network for Dynamic Load Balancing (CANN-DLB) is introduced. Artificial
Publikováno v:
Advances in Data and Information Sciences ISBN: 9789811506932
With heavy demand for cloud technology, it is important to balance the cloud load to deliver seamless Quality of Services to the different cloud users. To address such issues, a new hybridized technique Artificial Neural Network based Load Balancing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d5d2ce666889dff6744c600301c98af
https://doi.org/10.1007/978-981-15-0694-9_20
https://doi.org/10.1007/978-981-15-0694-9_20