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Benchmarking Low Latency Kernel and Xenomai for A Network Gateway Encryption Application
Marieska M.D.a, Kistijantoro A.I.b
a Faculty of Computer Science, Sriwijaya University, Palembang, Indonesia
b School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.In past years, development of Real Time Operating System (RTOS) has been growing rapidly. What makes RTOS different with General Purpose Operating System (GPOS) is its ability to interrupt and take over CPU instantly using a high priority task. While GPOS focuses on promotes fairness and high throughput. Every RTOS has different characteristics. We need data to decide which RTOS most suitable to support network application with set of its characteristics. To gather this data, we compare performance of two free and open source RTOS: Low Latency Kernel and Xenomai for processing a real time application. RTOS performance assessed through performance of a network gateway encryption application. There are three metrics used for performance measurements; processing time, jitter, and throughput. Test result shows that in overload condition, low latency kernel is able to perform better than Xenomai by delivering higher throughput and more predictable processing time. In low load condition, Xenomai is able to process packet faster than low latency kernel.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]High throughput,Low latency,Overload condition,Performance measurements,Real time operating system,Real-time application,Support networks,Xenomai[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]benchmark,low latency kernel,real time application,Real Time Operating System,Xenomai[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICECOS.2018.8605255[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]