SAMi: Self-aware migration approach for congestion reduction in NoC-based MCSoC
2016 (English)In: International System on Chip Conference, IEEE Computer Society, 2016, p. 145-150Conference paper, Published paper (Refereed)
Abstract [en]
Many-Core System-on-Chips (MCSoCs) require efficient task migration approach in order to reach system performance objectives such as load balancing, communication optimization, fault tolerance, and temperature control. In this paper an efficient self-aware migration approach is introduced for NoC-based MCSoCs using a centralized feedback controller in order to control the congestion over the system. The proposed approach is divided into four main steps: predicting behavior of the application, defining reliable triggers to initiate task migration, introducing cost comparison functions, and presenting a streamlined controlling mechanism to migrate tasks. The experimental results affirm that the proposed self-aware migration approach can help achieving significant throughput and system utilization while efficiently controlling system congestion.
Place, publisher, year, edition, pages
IEEE Computer Society, 2016. p. 145-150
Keywords [en]
Congestion, Feedback Controller, MCSoC, NoC, Performance, Task Migration, Controllers, Distributed computer systems, Fault tolerance, Feedback, Feedback control, Functions, Programmable logic controllers, Semiconductor device manufacture, System-on-chip, Traffic congestion, Network-on-chip
National Category
Embedded Systems Control Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35527DOI: 10.1109/SOCC.2016.7905455ISI: 000403576000026Scopus ID: 2-s2.0-85019114536ISBN: 9781509013661 (print)OAI: oai:DiVA.org:mdh-35527DiVA, id: diva2:1104492
Conference
29th IEEE International System on Chip Conference, SOCC 2016; Seattle; United States; 6-9 September 2016.
2017-06-012017-06-012019-06-25Bibliographically approved