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COOTS 2001 Abstract
An Adaptive Data Object Service
for Pervasive Computing Environments
Christopher K. Hess, University of Illinois at Urbana-Champaign; Francisco Ballesteros, Rey Juan Carlos, University of Madrid; Roy H. Campbell and M. Dennis Mickunas, University of Illinois at Urbana-Champaign
Abstract
Workstations and PCs typically are rich in resources, in contrast to
palmtop devices, which are generally quite limited. This disparity
offers challenges to integrating these heterogeneous devices into a
single distributed system. Services must be available to each device,
but it may be necessary to modify certain services if the connected
device does not have the desired resources.
A key component of many distributed systems is remote access to data.
Traditional distributed file systems are typically rather static and
are not able to adapt to the current available resources of the
devices involved. Data files are treated as continuous streams of
bytes and the interfaces to access them are designed for unstructured
data; they simply transfer buffers of contiguous data. Providing
modality and adapting content using these interfaces proves difficult.
In this paper, we present an adaptive data object service for
pervasive computing environments using distributed objects. Data is
manipulated through an object-oriented interface based on containers
and iterators. The interface is also used to model data operations,
conversions, and proxies. The system is aware of its environment and
can instantiate objects in the proper locations to optimize
performance.
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