TY - GEN
T1 - Evaluating container-based virtualization overhead on the general-purpose IoT platform
AU - Marques, Wagner dos Santos
AU - Souza, Paulo Silas Severo de
AU - Rossi, Fábio Diniz
AU - Rodrigues, Guilherme da Cunha
AU - Calheiros, Rodrigo N.
AU - Conterato, Marcelo da Silva
AU - Ferreto, Tiago Coelho
PY - 2018
Y1 - 2018
N2 - ![CDATA[Virtualization has become a key technology that provides several advantages (e.g., flexibility, migration, isolation) for a plethora of computing infrastructures. However, traditional virtualization models are not suitable for embedded IoT platforms due to the virtualization layer verhead. New virtualization proposals such as container-based approaches arise as an option where performance is not impacted. However, when working on general-purpose embedded platforms, some studies have demonstrated that applications on container-based virtualization on embedded devices present considerable performance overhead. Since most performance evaluations on platforms using containers were run on servers, this study expands the testbed scenario by analyzing several metrics that measure the overhead of container-based virtualization layer on embedded IoT devices. Results demonstrated improvements up to 23% in terms of performance and up to 32% in terms of EDP.]]
AB - ![CDATA[Virtualization has become a key technology that provides several advantages (e.g., flexibility, migration, isolation) for a plethora of computing infrastructures. However, traditional virtualization models are not suitable for embedded IoT platforms due to the virtualization layer verhead. New virtualization proposals such as container-based approaches arise as an option where performance is not impacted. However, when working on general-purpose embedded platforms, some studies have demonstrated that applications on container-based virtualization on embedded devices present considerable performance overhead. Since most performance evaluations on platforms using containers were run on servers, this study expands the testbed scenario by analyzing several metrics that measure the overhead of container-based virtualization layer on embedded IoT devices. Results demonstrated improvements up to 23% in terms of performance and up to 32% in terms of EDP.]]
KW - electric power transmission
KW - embedded computer systems
KW - overhead costs
KW - virtual computer systems
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:48771
U2 - 10.1109/ISCC.2018.8538602
DO - 10.1109/ISCC.2018.8538602
M3 - Conference Paper
SN - 9781538669501
SP - 8
EP - 13
BT - Proceedings of 2018 IEEE Symposium on Computers and Communications (ISCC), June 25-28, 2018, Natal, Brazil
PB - IEEE
T2 - IEEE Symposium on Computers and Communications
Y2 - 25 June 2018
ER -