Title:
On Adaptive Resource Allocation for Complex Real-Time Applications
On Adaptive Resource Allocation for Complex Real-Time Applications
Author(s)
Ivan-Roşu, Daniela
Schwan, Karsten
Yalamanchili, Sudhakar
Jha, Rakesh
Schwan, Karsten
Yalamanchili, Sudhakar
Jha, Rakesh
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Abstract
Resource allocation for high-performance real-time applications is
challenging due to the applications' data-dependent nature, dynamic
changes in their external environment, and limited resource
availability in their target embedded system platforms. These
challenges may be met by use of Adaptive Resource Allocation (ARA)
mechanisms that can promptly adjust resource allocation to changes in
an application's resource needs, whenever there is a risk of failing
to satisfy its timing constraints. By taking advantage of an
application's adaptation capabilities, ARA eliminates the need for
over-sizing real-time systems to meet worst-case application
needs. This paper proposes a model for describing an application's
adaptation capabilities and the runtime variation of its resource
needs. The paper also proposes a satisfiability-driven set of
performance metrics for capturing the impact of ARA mechanisms on the
performance of adaptable real-time applications. The relevance of the
proposed set of metrics is demonstrated experimentally, using a
synthetic application designed to represent time-critical applications
in C3I systems.
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Date Issued
1997
Extent
214631 bytes
Resource Type
Text
Resource Subtype
Technical Report