Process Migration: Controlling Application and Resource Dynamics by Combining Computation, Communication and Memory Metrics
Lucas Graebin, Rodrigo da Rosa Righi, Philippe O. A. Navaux
Abstract
Open-access reader
Lucas Graebin, Rodrigo da Rosa Righi, Philippe O. A. Navaux
Abstract
Open-access reader
In this paper we present MigBSP, a rescheduling model that acts on Bulk Synchronous Parallel applications. It combines the metrics Computation, Communication and Memory to make migration decisions on Computation Grids. MigBSP also offers efficient adaptations to reduce its own overhead. Additionally, MigBSP is infrastructure and application independent and tries to handle dynamicity on both levels. MigBSP’s results show performance gains of up to 16% on dynamic environments while maintaining a small overhead when migrations do not take place.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper we present MigBSP, a rescheduling model that acts on Bulk Synchronous Parallel applications. It combines the metrics Computation, Communication and Memory to make migration decisions on Computation Grids. MigBSP also offers efficient adaptations to reduce its own overhead. Additionally, MigBSP is infrastructure and application independent and tries to handle dynamicity on both levels. MigBSP’s results show performance gains of up to 16% on dynamic environments while maintaining a small overhead when migrations do not take place.
Key concepts: Computer science, Overhead (engineering), Computation, Distributed computing, Process (computing), Process migration, Resource (disambiguation), Parallel computing