Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/5218
Título: Autonomic Activities in the Execution of Scientific Workflows: Evaluation of the AWARD Framework
Autor: Assunção, Luís
Gonçalves, Carlos
Cunha, José C.
Palavras-chave: Scientific workflows
Parallel execution
Distributed processing
Cloud
Tuple space
Data: Set-2012
Editora: IEEE
Resumo: Workflows have been successfully applied to express the decomposition of complex scientific applications. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from tasks specification, decentralizing the control of workflow activities allowing their tasks to run in distributed infrastructures, and supporting dynamic workflow reconfigurations. We present the AWARD (Autonomic Workflow Activities Reconfigurable and Dynamic) model of computation, based on Process Networks, where the workflow activities (AWA) are autonomic processes with independent control that can run in parallel on distributed infrastructures. Each AWA executes a task developed as a Java class with a generic interface allowing end-users to code their applications without low-level details. The data-driven coordination of AWA interactions is based on a shared tuple space that also enables dynamic workflow reconfiguration. For evaluation we describe experimental results of AWARD workflow executions in several application scenarios, mapped to the Amazon (Elastic Computing EC2) Cloud.
Peer review: yes
URI: http://hdl.handle.net/10400.21/5218
DOI: 10.1109/UIC-ATC.2012.14
ISBN: 978-1-4673-3084-8
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6332031&tag=1
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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