Fourth Semester MSc Computer Science Model Question Paper

M Sc Computer Science (CCSS)
PATTERN OF QUESTIONS
Question paper for end semester theory examination shall
consists of :
i.
Short answer type : 10 questions ( two from each module) x 2 marks
ii.
Essay type : 5 questions (one either –or question from each module) x 8 marks
FOURTH SEMESTER M Sc Computer Science (CCSS) DEGREE
EXAMINATION, June 2015
MCSE41 SYSTEM SIMULATION AND MODELING
Time: 3 Hrs
Max Marks: 60
PART A
Answer any ten questions each carry 2 marks
1. Define Simulation. What are the advantages of simulation?
2. Write Event Scheduling /time advance algorithm.
3. Outline a procedure to generate inter arrival pattern of an M/M/1 queue when the mean
arrival rate is λ.
4. What are the Characteristics of queuing systems?
5. What are pseudo random numbers? Explain the factors to be considered while selecting a
random number generator.
6. Explain inverse transformation technique with exponential distribution.
7. What is a model? Discuss various types of models with suitable examples
8. Explain briefly selecting the input model without specific data.
9. Differentiate point and interval estimation.
10. Use multiplicative congruential method to generate the first five random numbers for the
case where a = 17, m =100, and the seed is 37.
PART B
Answer all questions each carry 10 marks
13. a) Briefly explain the steps in simulation study.
OR
b) With a flow chart explain the single server queue simulation in JAVA.
14. a) The average response time for http requests at a web server is 2 minutes. The system busy time
was measured to be 50 seconds during a one minute observation interval. Use an M/M/1 model
for the system to determine the following.
i.) What is the average service time per transaction?
ii.) What is the probability there are more than one http request in the system?
iii.) On average, how many requests are in the system
iv.) What is the average time a request spends in the queue?
OR
b) Discuss the steady state behavior of M/M/c/œ/œ.
15. a) Test for uniformity using KS test at 5% level of significance. Dα=0.375
0.23, 0.62, 0.18, 0.47, 0.53, 0.91, 0.03, 0.36, 0.85, 0.75, 0.14, 0.53
OR
b) Explain acceptance Rejection technique.
16. a) What are the steps in developing an input model? Explain.
OR
b) Briefly explain verification and validation of simulation model.
17. a) Explain the types of simulation with respect to output analysis.
OR
b) Explain the method of reducing initialization bias in steady state simulation.
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FOURTH SEMESTER M Sc Computer Science (CCSS) DEGREE
EXAMINATION, June 2015
MCSE42 CLOUD COMPUTING
Time: 3 Hrs
Max Marks: 60
PART A
Answer any ten questions each carry 2 marks
1. Differentiate between public and private cloud.
2. List any two issues in cloud security.
3. What do you mean by virtualization?
4. Give any two advantages of server virtualization.
5. List any four OpenSaas services.
6. List the benefits of PaaS.
7. Give the purpose of Load balancing?
8. What is Hadoop?
9. Compare the merits of cloud applications with traditional applications.
10. Differentiate between web service and Cloud.
PART B
Answer all questions each carry 10 marks
13. a) Describe Cloud deployment models.
OR
b) Define Cloud computing. Discuss in detail merits and limitations of cloud computing.
14. a) Discuss in detail aspects of memory virtualization.
OR
b) What do you mean by storage virtualization? Discuss the tools and products available for
storage virtualization.
15. a) Discuss in detail Service Oriented Architecture.
OR
b) What are the key characteristics of SAAS . Give suitable examples each of popular SAAS
and give a brief overview of their features.
16. a) Discuss in detail Cloud based Database solutions.
OR
b) Give the characteristics of IAAS. Discuss how Cloud based NAS devices can be utilized.
17. a) Discuss Client Server Distributed architecture for Cloud.
OR
b) i. Give the features of JSON that are exploited in cloud computing.
ii. Write notes on Design patterns for Cloud applications.