Course: Fall 2012 B534 Distributed Systems Graduate Course


Fall 2012 CSCI-B534 is a course for young computer scientists working in the field of software and systems. It is offered to a class of 34 students (PhD, Masters) and two AIs covering core Computer Science distributed systems curricula ( Distributed systems form a rapidly changing field of computer science. We study
the evolutional changes in computing landscape characterized by parallel, distributed, and cloud computing systems. We use FutureGrid testbed to build our prototype systems and have an in-depth study the essential issues in practice such as scalability, performance, availability, security, energy-efficiency, and workload balancing.

Intellectual Merit

The Internet has greatly expanded the scope and importance of distributed systems to include Web 2.0 sites, Information retrieval (search), Utility (cloud) computing, P2P systems and the Internet of things. Further science is facing an unprecedented data deluge and the emergence of data oriented analysis as a fourth paradigm of scientific methodology after theory, experiment and simulation. This class will use these modern systems to introduce core technologies including communication, concurrency/parallelism, security, fault tolerance and programming models. In particular the course will cover systems and tools to support data intensive science applications. Students will get to know the latest research topics through paper readings and have the opportunity to understand some commercial cloud systems through projects using FutureGrid resources.

Scope and topics
The content of B534 will cover the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. These include massively parallel processors (MPP), supercomputing clusters, service-orient architecture (SOA), computational grids, P2P (peer-to-peer) networks, virtualized datacenters, cloud platforms, Internet of Things (IOT), and Cyber-Physical Systems (CPS). We will cover MapReduce (originated from functional languages) and associated languages but it will focus more on the principles and practice of building distributed systems than on languages.

Broader Impact

The curricula and tutorials can be re-used in other cloud computing/distributed system educational activities

Use of FutureGrid

HPC, VMs and Bare Metal provisioning setting similar to Spring 2012 B534 class

Scale Of Use

Each student will need modest resources


Judy Qiu
Tak-Lon Wu
Indiana University

Project Members

Abhimanyu Jha
Abhyodaya Padiyar
Ajay Chaitanya Veluvolu
Chen Jiang
harish chidire
Ila Jogaikar
Jayesh Kawli
Jesun Firoz
Kai Song
Kailash Nagarkoti
Kang Zhao
Karthik Mallekav Nagaraj
Kartik Mathur
Lakshmi Nookala
Lokesh Chaudhari
Monisha Thakur
Munir Khabibullaev
Muthu Chidambaram
Ninad Faterpekar
Pallavi Pudakalakatti
Patrick McChesney
Pranoy Khara
Prithvi Raj Jampana
Priyanka Jaganathan
Puneet Singh
Ramesh Prasad
Sachin Joshi
Shantanu Govindjiwala
Shiva Ray
Shubhada Karavinkoppa
Siddhardh Changavalli
Sneha Shekatkar
Srikanth Iyer
Supun Kamburugamuva
Viknes Balasubramanee


1 year 19 weeks ago
1 year 13 weeks ago