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Fabric: a platform for secure distributed computation and storage

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ACM Symposium on Operating Systems Principles archive
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles table of contents

Big Sky, Montana, USA

SESSION: Security table of contents

Pages 321-334

Year of Publication: 2009

ISBN:978-1-60558-752-3

Authors

Jed Liu	Cornell University, Ithaca, NY, USA
Michael D. George	Cornell University, Ithaca, NY, USA
K. Vikram	Cornell University, Ithaca, NY, USA
Xin Qi	Cornell University, Ithaca, NY, USA
Lucas Waye	Cornell University, Ithaca, NY, USA
Andrew C. Myers	Cornell University, Ithaca, NY, USA

Sponsors

ACM: Association for Computing Machinery
SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

ACM New York, NY, USA

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ABSTRACT

Fabric is a new system and language for building secure distributed information systems. It is a decentralized system that allows heterogeneous network nodes to securely share both information and computation resources despite mutual distrust. Its high-level programming language makes distribution and persistence largely transparent to programmers. Fabric supports data-shipping and function-shipping styles of computation: both computation and information can move between nodes to meet security requirements or to improve performance. Fabric provides a rich, Java-like object model, but data resources are labeled with confidentiality and integrity policies that are enforced through a combination of compile-time and run-time mechanisms. Optimistic, nested transactions ensure consistency across all objects and nodes. A peer-to-peer dissemination layer helps to increase availability and to balance load. Results from applications built using Fabric suggest that Fabric has a clean, concise programming model, offers good performance, and enforces security.

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