B.E. (Computer Science Engineering) Eighth Semester (C.B.S.)
Elective - III : Clustering & Cloud Computing TKN/KS/16/7698
P. Pages : 2
*0710* Time : Three Hours Max. Marks : 80 _____________________________________________________________________
Notes : 1. 2. 3. 4. 5. 6. 7. 8. a)
What is cloud computing? Explain the essential characteristics of cloud computing.
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b)
Differentiate cloud computing and Grid computing.
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Solve Question 1 OR Questions No.2. Solve Question 3 OR Questions No.4. Solve Question 5 OR Questions No.6. Solve Question 7 OR Questions No.8. Solve Question 9 OR Questions No.10. Solve Question 11 OR Questions No.12. Assume suitable data whenever necessary. Illustrate your answers whenever necessary with the help of neat sketches.
b)
Explain the overview of mobile cloud.
a)
Explain using suitable example Infrastructure as a service and Platform as a service in cloud computing model.
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b)
Explain the need of virtualization in cloud computing. Also explain the pitfalls of virtualization. OR
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a)
Explain infrastructure as a service (Iaas) using openstack/ owncloud.
b)
Explain the role of Networks in cloud computing and also define the various protocols used in it.
a)
Explain the clustering Big data and also gives classification of Big data.
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b)
List the characteristics of HDFS. And explain HDFS operations.
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Explain legal issues when using cloud models and also specify various challenges in cloud computing.
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a)
Explain Hadoop Map Reduce job execution with the help of neat diagram.
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b)
Explain in steps starting & stopping Hadoop cluster.
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a)
Write short note on Infrastructure security in cloud Computing.
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b)
Explain Identity Access management.
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TKN/KS/16/7698
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OR 8.
9.
a)
Explain application security and virtual Machine security.
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b)
Describe in detail about cloud contracting model.
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a)
Explain object oriented concepts in C#. NET.
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b)
Explain step by step how web page can create using ASP-NET. Consider any example.
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OR 6
b)
Explain step by step how to create console application using ADO, NET? Consider any example.
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a)
Create simple cloud application using Azure.
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b)
Explain deployment of application to windows Azure cloud. OR
Write about worker role & web role while configuring an application in windows azure.
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Connect more apps... Try one of the apps below to open or edit this item. 25-clustering-and-kmeans-handout.pdf. 25-clustering-and-kmeans-handout.pdf. Open.
IJRIT International Journal of Research in Information Technology, Volume 2, ... Ms. Priya S.Yadav1, Ms. Pranali G. Wadighare2,Ms.Sneha L. Pise3 , Ms. ... cluster quality guide, and a new method of improving clusters by ranking the pages by.
Ap- plications of text-to-text generation include sum- marization (Knight and Marcu, 2002), question- answering (Lin and Pantel, 2001), and machine translation.
Clustering is one of the most important techniques in data mining. ..... of data and more complex data, such as multimedia data, semi-structured/unstructured.
2.1 Fuzzy C-Means . ... It means we can discriminate clearly whether an object belongs to .... Sonali A., P.R.Deshmukh, Categorization of Unstructured Web Data.
Jan 23, 2009 - 5. 3 Strengths and weaknesses. 6. 3.1 Spherical, well separated clusters . ..... Step into the extracted folder âxvdm spectralâ by typing.
Key words: Parallel spectral clustering, distributed computing. 1 Introduction. Clustering is one of the most important subroutine in tasks of machine learning.
common technique for statistical data analysis used in many fields, including machine ... The clustering process may result in different partitioning of a data set, ...
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relevant to the domain of application. Moreover ..... the support of hidden topics. If λ = 1, we ..... Táo (Apple, Constipation, Kitchen God), Chuô. t (Mouse), Ciju'a s.
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cast News segmentation systems([7]), in order to be able to index the data. 2 ... to the meeting or be videoconferencing. Two main ... news clustering technology.
Dec 30, 2009 - ing neurons are observed to âfireâ spikes at regular intervals with a particular ... degree of synchronization, a global order parameter, r, is defined as rei t = 1 ..... Color online The time evolution of the two-cluster order par
