TY - GEN
T1 - Efficient Partitioning of On-Cloud Remote Executable Code and On-Chip Software for Complex-Connected IoT
AU - Lee, Dongkyu
AU - Cho, Jeonghun
AU - Park, Daejin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - A program running on one processor can easily model the system and analyze power consumption and execution time. However, complex systems in which multiple processors interact are very difficult to model. Creating and simulating a simulation model would be effective for analyzing a complex system. However, the simulation model changes as the connection structure of the system changes. In this paper, we propose a framework that takes a connection structure and creates a simulation model automatically. This framework allows developers to easily create a simulation model by inserting the connection structures between the IoT systems. And we can find efficient part of on-cloud remote executable code and on-chip software in terms of power consumption or execution time.
AB - A program running on one processor can easily model the system and analyze power consumption and execution time. However, complex systems in which multiple processors interact are very difficult to model. Creating and simulating a simulation model would be effective for analyzing a complex system. However, the simulation model changes as the connection structure of the system changes. In this paper, we propose a framework that takes a connection structure and creates a simulation model automatically. This framework allows developers to easily create a simulation model by inserting the connection structures between the IoT systems. And we can find efficient part of on-cloud remote executable code and on-chip software in terms of power consumption or execution time.
UR - http://www.scopus.com/inward/record.url?scp=85064706407&partnerID=8YFLogxK
U2 - 10.1109/BIGCOMP.2019.8679228
DO - 10.1109/BIGCOMP.2019.8679228
M3 - Conference contribution
AN - SCOPUS:85064706407
T3 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
BT - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Y2 - 27 February 2019 through 2 March 2019
ER -