computing models
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2022 ◽  
Vol 245 ◽  
pp. 110467
Author(s):  
T. Sadeghifar ◽  
G.F.C. Lama ◽  
P. Sihag ◽  
A. Bayram ◽  
O. Kisi

Author(s):  
Irina Alekseevna Vorobeva ◽  
◽  
Alexander Vladimirovich Panov ◽  
Alexander Arkadyevich Safronov ◽  
Alexey Ivanovich Sazonov

The idea of cloud computing is not a new one, it has been developed and discussed for many years. Cloud computing is a model which allows to get access to the network upon request from the set of adjustable computing services, such as infrastructure, applications and storages. Cloud services and data storage products allow their users to store and share any type of document and file from any device connected to Internet. There are several types of cloud services, which can be subdivided into: SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service). Besides, there are several deployment models, such as public, residential, hybrid or community cloud. Cloud computing models are based on modern process paradigm, which offers new alternatives to the companies of various ranges for implementation of innovative business models. With the help of these new business models small companies will be able to use cloud computing platforms and to increase gradually their computation capacities and data storage capacities depending on the requirements in real time mode, which creates a unique opportunity for market competition. Keywords— cloud computing, IaaS, OpenStack, PaaS, SaaS.


MAUSAM ◽  
2022 ◽  
Vol 53 (2) ◽  
pp. 119-126
Author(s):  
R. K. MALL ◽  
B. R. D. GUPTA

Actual evapotranspiration of wheat crop during different year from 1978-79 to 1992-93 was measured daily in Varanasi, Uttar Pradesh using lysimeter. In this study three evapotranspiration computing models namely Doorenbos and Pruitt, Thornthwaite and Soil Plant Atmosphere Water (SPAW) have been used. Comparisons of these three methods show that the SPAW model is better than the other two methods for evapotraspiration estimation. In the present study the MBE (Mean-Bias-Error), RMSE (Root Mean Square Error) and t-statistic have also been obtained for better evaluations of a model performance.


Author(s):  
Miriam Leeser ◽  
Suranga Handagala ◽  
Michael Zink

As cloud computing grows,  the types of computational hardware available in the cloud are diversifying. Field Programmable Gate Arrays (FPGAs) are a relatively new addition to high-performance computing in the cloud, with the ability to accelerate a range of different applications, and the flexibility to offer different cloud computing models. A new and growing configuration is to have the FPGAs directly connected to the network and thus reduce the latency in delivering data to processing elements. We survey the state-of-the-art in FPGAs in the cloud and present the Open Cloud Testbed (OCT), a testbed for research and experimentation into new cloud platforms, which includes network-attached FPGAs in the cloud.


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