Zobrazeno 1 - 10
of 43
pro vyhledávání: '"K. Thirupathi Rao"'
Publikováno v:
International Journal of Computer Sciences and Engineering. 10:49-53
Autor:
K. Thirupathi Rao, N. Sarada
Publikováno v:
International Journal of e-Collaboration. 17:89-100
In recent years, convolutional neural networks had a wide impact in the fields of medical image processing. Image semantic segmentation and image classification have been the main challenges in this field. These two techniques have been seeing a lot
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811685538
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a330a5671da707fda2dcd5e38516cc40
https://doi.org/10.1007/978-981-16-8554-5_19
https://doi.org/10.1007/978-981-16-8554-5_19
Autor:
K. Thirupathi Rao, P. Veerendra
Publikováno v:
Materials Today: Proceedings.
Cloud computing is a model to permit access for resources that providing computing resources as innovative check for researchers. Critical Resource management plays a major role in cloud computing which is mainly adaptable. Handling resources in the
Autor:
S. Phani Praveen, K. Thirupathi Rao
Publikováno v:
International Journal of Natural Computing Research. 7:15-31
Often cloud providers and cloud clients illustrate several constraints and thus allocation of resources in a heterogeneous cloud is a difficult job. As the traffic flow is quite subjective and Client necessities and applications size vary regularly,
Publikováno v:
Arabian Journal for Science and Engineering. 43:4265-4272
Effective resource distribution to regulate load uniformly in heterogeneous cloud environments is crucial. Resource allotment which is taken after capable task scheduling is a critical worry in cloud environment. The incoming job requests are assigne
Businesses constantly face online hacking threats or security breaches in their online mainframe that expose sensitive information to the wrong audience. Companies look to store their data in a separate location, distancing the availability of the in
Autor:
S. Phani Praveen, K. Thirupathi Rao
Publikováno v:
Smart Intelligent Computing and Applications ISBN: 9789811319204
The main aim of this work is to present a multi-faceted cost model depending on server auto-scaling which is based on task requests waiting in queues. To survive for long period in the market, cloud service providers can adopt task—server consolida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae2701e6e23d382a880cf80a84f01fb7
https://doi.org/10.1007/978-981-13-1921-1_58
https://doi.org/10.1007/978-981-13-1921-1_58
Autor:
K. Thirupathi Rao, S. Phani Praveen
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811075650
Upholding quality of service (QoS) parameters while ranking cloud-based Virtual Machines (VMs) that deliver the same service is a challenging task which has been addressed by prior approaches like VM resource deep analytics (RDA). But these approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9f59f933912155f11b593e0c2f62ec
https://doi.org/10.1007/978-981-10-7566-7_17
https://doi.org/10.1007/978-981-10-7566-7_17
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811032257
In distributed systems like Hadoop, work is segmented into various tasks and then subsequently executed in parallel on nodes in the cluster. Stragglers, the nodes which are 6–8 times slower than median nodes, can potentially degrade the overall clu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::664abe2d63f16a1834b3b404afd0bd58
https://doi.org/10.1007/978-981-10-3226-4_41
https://doi.org/10.1007/978-981-10-3226-4_41