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[[meta copyright="Copyright © 2008 Free Software Foundation, Inc."]]
[[meta license="""[[toggle id="license" text="GFDL 1.2+"]][[toggleable
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document under the terms of the GNU Free Documentation License, Version 1.2 or
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The most up-to-date documentation is in the source code itself. The
second best are the header files. Look in particular in the hurd
directory to understand the Viengoos API.
There is a started but as-of-yet incomplete manual in the doc
directory, which documents the Viengoos API and the Hurd API.
Academic Papers:
* [Viengoos: A Framework for Stakeholder-Directed Resource
Allocation](http://walfield.org/papers/2009-walfield-viengoos-a-framework-for-stakeholder-directed-resource-allocation.pdf). By
Neal H. Walfield. Submitted to EuroSys 2009.
General-purpose operating systems not only fail to provide adaptive
applications the information they need to intelligently adapt, but
also schedule resources in such a way that were applications to
aggressively adapt, resources would be inappropriately scheduled. The
problem is that these systems use demand as the primary indicator of
utility, which is a poor indicator of utility for adaptive
applications.
We present a resource management framework appropriate for traditional
as well as adaptive applications. The primary difference from current
schedulers is the use of stakeholder preferences in addition to
demand. We also show how to revoke memory, compute the amount of
memory available to each principal, and account shared
memory. Finally, we introduce a prototype system, Viengoos, and
present some benchmarks that demonstrate that it can efficiently
support multiple aggressively adaptive applications simultaneously.
* [Improving Usability via Access Decomposition and Policy
Refinement with Marcus
Brinkmann](http://walfield.org/papers/20070104-walfield-access-decomposition-policy-refinement.pdf). By
Neal H. Walfield and Marcus Brinkmann. Technical report
(submitted to HotOS 2007).
Commodity operating systems fail to meet the security, resource
management and integration expectations of users. We propose a unified
solution based on a capability framework as it supports fine grained
objects, straightforward access propagation and virtualizable
interfaces and explore how to improve resource use via access
decomposition and policy refinement with minimum interposition. We
argue that only a small static number of scheduling policies are
needed in practice and advocate hierarchical policy specification and
central realization.
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