Course Name: Distributed Systems

Course abstract

A distributed system is a software system in which components located on networked computers communicate and coordinate their actions by passing messages. The components interact with each other in order to achieve a common goal. Distributed applications (distributed apps) are applications or software that runs on multiple computers within a network at the same time and can be stored on servers or with cloud computing. This course provides an in-depth understanding of fundamental principles and models underlying the theory, algorithms, and systems aspects of distributed computing. Few Emerging topics such as Peer-to-Peer computing, Distributed Hash Table, Google File System, HDFS, Spark, Sensor Networks and Security in Distributed Systems will also be covered for significant impact. Upon completing this course, students will have intimate knowledge about how things work in a distributed environment.


Course Instructor

Media Object

Dr. Rajiv Misra

Dr. Rajiv Misra is an Associate Professor in Department of Computer Science and Engineering at Indian Institute of Technology Patna. He earned his Ph.D degree from IIT Kharagpur, M.Tech degree in Computer Science and Engineering from the Indian Institute of Technology(IIT), Bombay, and Bachelor's of engineering degree in Computer Science from MNIT Allahabad. He has published more than 50 papers in various Conferences and Journals with his h-index is 8. He has authored papers in IEEE Transactions on Mobile Computing, IEEE Transaction on Parallel and Distributed Systems. He has been elevated to Senior member of the IEEE recently. His current research interests include Large Scale Distributed Computing, Big Data, Hadoop and Spark. Recently, he has been awarded IMPRINT-MHRD Sponsored Research Project title Smart Weather : Location based Deep weather event prediction using spatial big data computing. Currently, he is supervising two Phd students and has graduated three Phd students. His graduated Phd students are currently working as Assistant Professors in BITs-Goa, NIIT-University and JIIT-University. Recently, he has conducted a workshop titled Big Data Analytics using Hadoop at IIT Patna.


More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Sep 2021

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 Syllabus

 Enrollment : 20-May-2021 to 02-Aug-2021

 Exam registration : 17-Jun-2021 to 20-Aug-2021

 Exam Date : 26-Sep-2021

Enrolled

1055

Registered

75

Certificate Eligible

60

Certified Category Count

Gold

1

Silver

29

Elite

23

Successfully completed

7

Participation

7

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Distributed Systems - Toppers list

AMAN KUMAR 91%

KATIHAR ENGINEERING COLLEGE

SUNNY RAJ 87%

KATIHAR ENGINEERING COLLEGE

P NEELAKANTAN 86%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

VADUGANATHAN D 85%

KARPAGAM INSTITUTE OF TECHNOLOGY

ANURAG SEWAK 84%

RAJKIYA ENGINEERING COLLEGE, SONBHADRA

JAYNA DONGA 84%

MADHUBEN & BHANUBHAI PATEL INSTITUTE OF TECHNOLOGY

MANISHA SINGH 84%

KATIHAR ENGINEERING COLLEGE

JERO JENISHA 84%

KONGU ENGINEERING COLLEGE

MURARI KUMAR SINGH 84%

SHARDA UNIVERSITY

M FATHIMA KADHOON 84%

KONGU ENGINEERING COLLEGE

NIKHIL KUMAR JHA 84%

KATIHAR ENGINEERING COLLEGE

AMAN CHANDE 84%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

Enrollment Statistics

Total Enrollment: 1055

Registration Statistics

Total Registration : 75

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.