A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments

2004 ◽  
Author(s):  
R. Fernandes de Mello ◽  
L.J. Senger
Keyword(s):  
Heterogeneous Computing ◽  
Migration Model ◽  
Model Based ◽  
Computing Environments

scholarly journals Developing reproducible bioinformatics analysis workflows for heterogeneous computing environments to support African genomics

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Shakuntala Baichoo ◽  
Yassine Souilmi ◽  
Sumir Panji ◽  
Gerrit Botha ◽  
Ayton Meintjes ◽  
...  
Keyword(s):  
Heterogeneous Computing ◽  
Bioinformatics Analysis ◽  
Computing Environments

Design of a simulator of heterogeneous computing environments

1996 ◽  
Vol 4 (2-3) ◽  
pp. 97-117 ◽  
Author(s):  
R. Aversa ◽  
N. Mazzocca ◽  
U. Villano
Keyword(s):  
Heterogeneous Computing ◽  
Computing Environments

IMPROVING SCHEDULING OF COMMUNICATION INTENSIVE PARALLEL APPLICATIONS ON HETEROGENEOUS COMPUTING ENVIRONMENTS

2005 ◽  
Vol 15 (04) ◽  
pp. 423-438
Author(s):  
RENATO P. ISHII ◽  
RODRIGO F. DE MELLO ◽  
LUCIANO J. SENGER ◽  
MARCOS J. SANTANA ◽  
REGINA H. C. SANTANA ◽  
...  
Keyword(s):  
Communication Network ◽  
Heterogeneous Computing ◽  
Performance Enhancement ◽  
Parallel Applications ◽  
Group Scheduling ◽  
Network Bandwidth ◽  
Proposed Model ◽  
Message Exchange ◽  
Network Operations ◽  
Computing Environments

This paper presents a new model for the evaluation of the impacts of processing operations resulting from the communication among processes. This model quantifies the traffic volume imposed on the communication network by means of the latency parameters and the overhead. Such parameters represent the load that each process imposes over the network and the delay on CPU, as a consequence of the network operations. This delay is represented on the model by means of metric measurements slowdown. The equations that quantify the costs involved in the processing operation and message exchange are defined. In the same way, equations to determine the maximum network bandwidth are used in the decision-making scheduling. The proposed model uses a constant that delimitates the communication network maximum allowed usage, this constant defines two possible scheduling techniques: group scheduling or through communication network. Such techniques are incorporated to the DPWP policy, generating an extension of this policy. Experimental and simulation results confirm the performance enhancement of parallel applications under supervision of the extended DPWP policy, compared to the executions supervised by the original DPWP.

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