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Seattle: a platform for educational cloud computing
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Technical Symposium on Computer Science Education archive
Proceedings of the 40th ACM technical symposium on Computer science education table of contents
Chattanooga, TN, USA
SESSION: Distributed computing for the classroom table of contents
Pages 111-115  
Year of Publication: 2009
ISBN:978-1-60558-183-5
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Authors
Justin Cappos  University of Washington, Seattle, WA, USA
Ivan Beschastnikh  University of Washington, Seattle, WA, USA
Arvind Krishnamurthy  University of Washington, Seattle, WA, USA
Tom Anderson  University of Washington, Seattle, WA, USA
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Cloud computing is rapidly increasing in popularity. Companies such as RedHat, Microsoft, Amazon, Google, and IBM are increasingly funding cloud computing infrastructure and research, making it important for students to gain the necessary skills to work with cloud-based resources. This paper presents a free, educational research platform called Seattle that is community-driven, a common denominator for diverse platform types, and is broadly deployed.

Seattle is community-driven -- universities donate available compute resources on multi-user machines to the platform. These donations can come from systems with a wide variety of operating systems and architectures, removing the need for a dedicated infrastructure.

Seattle is also surprisingly flexible and supports a variety of pedagogical uses because as a platform it represents a common denominator for cloud computing, grid computing, peer-to-peer networking, distributed systems, and networking. Seattle programs are portable. Students' code can run across different operating systems and architectures without change, while the Seattle programming language is expressive enough for experimentation at a fine-grained level. Our current deployment of Seattle consists of about one thousand computers that are distributed around the world. We invite the computer science education community to employ Seattle in their courses.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Justin Cappos: colleagues
Ivan Beschastnikh: colleagues
Arvind Krishnamurthy: colleagues
Tom Anderson: colleagues