NDLI: CPOL: high-performance policy evaluation

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CPOL: high-performance policy evaluation

Content Provider	ACM Digital Library
Author	Zhao, Xin Prakash, Atul Borders, Kevin
Abstract	Policy enforcement is an integral part of many applications. Policies are often used to control access to sensitive information. Current policy specification languages give users fine-grained control over when and how information can be accessed, and are flexible enough to be used in a variety of applications. Evaluation of these policies, however, is not optimized for performance. Emerging applications, such as real-time enforcement of privacy policies in a sensor network or location-aware computing environment, require high throughput. Our experiments indicate that current policy enforcement solutions are unable to deliver the level of performance needed for such systems, and limit their overall scalability. To deal with the need for high-throughput evaluation, we propose CPOL, a flexible C++ framework for policy evaluation. CPOL is designed to evaluate policies as efficiently as possible, and still maintain a level of expressiveness comparable to current policy languages. CPOL achieves its performance goals by efficiently evaluating policies and caching query results (while still preserving correctness). To evaluate CPOL, we ran a simulated workload of users making privacy queries in a location-sensing infrastructure. CPOL was able to handle policy evaluation requests two to six orders of magnitude faster than a MySql implementation and an existing policy evaluation system. We present the design and implementation of CPOL, a high-performance policy evaluation engine, along with our testing methodology and experimental results.
Starting Page	147
Ending Page	157
Page Count	11
File Format	PDF
ISBN	1595932267
DOI	10.1145/1102120.1102142
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy policy Policy evaluation Performance
Content Type	Text
Resource Type	Article

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