Title:
On Adaptive Resource Allocation for Complex Real-Time Applications

dc.contributor.author Ivan-Roşu, Daniela en_US
dc.contributor.author Schwan, Karsten
dc.contributor.author Yalamanchili, Sudhakar
dc.contributor.author Jha, Rakesh
dc.date.accessioned 2005-06-17T18:26:00Z
dc.date.available 2005-06-17T18:26:00Z
dc.date.issued 1997 en_US
dc.description.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. en_US
dc.format.extent 214631 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6799
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries CC Technical Report; GIT-CC-97-26 en_US
dc.subject Dynamic resource allocation
dc.subject Real-time environments
dc.subject Performance metrics
dc.title On Adaptive Resource Allocation for Complex Real-Time Applications en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Schwan, Karsten
local.contributor.corporatename College of Computing
local.relation.ispartofseries College of Computing Technical Report Series
relation.isAuthorOfPublication a89a7e85-7f70-4eee-a49a-5090d7e88ce6
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 35c9e8fc-dd67-4201-b1d5-016381ef65b8
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