TY - GEN
T1 - Offloading System Based on Estimated Response Time in Multi-tier Environment
AU - Tani, Ryotaro
AU - Kobayashi, Yuki
AU - Shigeno, Hiroshi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/2/25
Y1 - 2019/2/25
N2 - Mobile devices such as smartphones have various restrictions in terms of resources such as batteries and processors. The load reduction on the mobile devices is possible by offloading, migrating application to the resource-rich environment such as cloud servers. However, further study is required on multi-tier environment which contains multiple resources composed of edge servers and cloud servers. This paper proposes an offloading system based on estimated response time (ERT) in multi-tier environment which contains multiple resources. The proposed offloading system calculates ERT based on the state of network and computation resources of each execution resource. Offloading is executed on execution resources with the minimum ERT. We implemented the prototype of the proposed offloading system and evaluated the performance.
AB - Mobile devices such as smartphones have various restrictions in terms of resources such as batteries and processors. The load reduction on the mobile devices is possible by offloading, migrating application to the resource-rich environment such as cloud servers. However, further study is required on multi-tier environment which contains multiple resources composed of edge servers and cloud servers. This paper proposes an offloading system based on estimated response time (ERT) in multi-tier environment which contains multiple resources. The proposed offloading system calculates ERT based on the state of network and computation resources of each execution resource. Offloading is executed on execution resources with the minimum ERT. We implemented the prototype of the proposed offloading system and evaluated the performance.
KW - Cloud Computing
KW - Edge Computing
KW - Offloading
UR - http://www.scopus.com/inward/record.url?scp=85063520237&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063520237&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2019.8651833
DO - 10.1109/CCNC.2019.8651833
M3 - Conference contribution
AN - SCOPUS:85063520237
T3 - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
BT - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Y2 - 11 January 2019 through 14 January 2019
ER -