Parameter Analysis of Interfering Applications in Multi-Core Environment for Throughput Enhancement
Surendra Kumar Shukla1, P.K. Chande2
1Surendra Kumar Shukla*, Research Scholar, School of Computer Science & IT, Devi Ahilya University, Indore, India.
2Dr. P.K Chande, Ex-Director, MNIT Bhopal, SGSITS Indore, India.
Manuscript received on November 21, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1272-1286 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2922129219/2020©BEIESP | DOI: 10.35940/ijeat.B2922.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Multi-core systems the applications co-execute in Multi-programmed mode, have interfere with each other during execution, which creates resource bottleneck affecting the performance. To reduce the interference in a given set of resources some conventional approaches don’t give guarantee of performance in a conflicting application environment. In this paper, we make an in-depth analysis of benchmark applications interference for shared resources and find out application set which could be executed adopting a designated policy to mitigate the interference effects. In this work, we have performed profiling and analysis of applications on the state-of-the-art simulator gem5. Finally, we conclude the possibility of performance improvement through the designated policy. The simulation results show the scope to have a new scheduler for performance improvement in such systems.
Keywords: Interference, Multi-core, Analysis, Performance, Policy, Co-schedule.