Course: Fall 2013 P434 Distributed Systems Undergraduate Course

Project Information

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Orientation
Research 
Abstract

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 (http://salsahpc.indiana.edu/csci-p434-fall-2013/). 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

Objectives 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 Impacts

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

Project Contact

Project Lead
Judy Qiu (xqiu) 
Project Manager
Tak-Lon Wu (taklwu) 
Project Members
Supun Kamburugamuva, David Brokaw, Julie Byers, Josh Cox, Martin Cox, Michael DeWitt, Geralyn Dierfeldt, Brice Elder, Micah Fitzgerald, Daniel Freiburger, Alex Frost, Jonathan Gingerich, Braden Kern, Maria Khokhar, Patrick Kozub, Raven McIninch, Charles Pedersen, Bradley Ringel, Evan Schnaitman, Riley Todd, Justin Webb, Anthony Weber, LILI WEN, Paul Whalen, enze zhuang, David Chiang, Rachel Lowden, Ivan Malopinsky, Adam Pendleton, Jun Yin  

Resource Requirements

Hardware System
  • india (IBM iDataPlex at IU)
 
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

Project Timeline

Submitted
08/29/2013 - 17:00 
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