Course: Fall 2013 P434 Distributed Systems Undergraduate Course


Fall 2013 CSCI-P434 is a course for young computer scientists working in the field of software and systems. It is offered to a class of 34 undergraduate 31 students 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 P434 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 and VMs on Euca or OpenStack similar to Fall 2012 B534 class

Scale Of Use

Each student will need modest resources


Judy Qiu
Tak-Lon Wu
Indiana University

Project Members

Adam Pendleton
Alex Frost
Anthony Weber
Braden Kern
Bradley Ringel
Brice Elder
Charles Pedersen
Daniel Freiburger
David Brokaw
David Chiang
enze zhuang
Evan Schnaitman
Geralyn Dierfeldt
Ivan Malopinsky
Jonathan Gingerich
Josh Cox
Julie Byers
Jun Yin
Justin Webb
Maria Khokhar
Martin Cox
Micah Fitzgerald
Michael DeWitt
Patrick Kozub
Paul Whalen
Rachel Lowden
Raven McIninch
Riley Todd
Supun Kamburugamuva


50 weeks 6 days ago