Dai, M., Xia, Y., Wang, X., Yu, L., Zhong, X., Liu, H., Xia, Q., Peng, Q. L., Sun, X., & Su, J. (2024). A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing. In R. N. Chang, C. K. Chang, Z. Jiang, J. Yang, Z. Jin, M. Sheng, J. Fan, K. K. Fletcher, Q. He, Q. He, C. Ardagna, J. Yang, J. Yin, Z. Wang, A. Beheshti, S. Russo, N. Atukorala, J. Wu, P. S. Yu, H. Ludwig, S. Reiff-Marganiec, E. Zhang, A. Sailer, N. Bena, K. Li, Y. Watanabe, T. Zhao, S. Wang, Z. Tu, Y. Wang, ... K. Wei (Eds.), Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024 (pp. 778-787). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICWS62655.2024.00097
Dai, Mengxuan ; Xia, Yunni ; Wang, Xu et al. / A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing. Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. editor / Rong N. Chang ; Carl K. Chang ; Zigui Jiang ; Jingwei Yang ; Zhi Jin ; Michael Sheng ; Jing Fan ; Kenneth K. Fletcher ; Qiang He ; Qiang He ; Claudio Ardagna ; Jian Yang ; Jianwei Yin ; Zhongjie Wang ; Amin Beheshti ; Stefano Russo ; Nimanthi Atukorala ; Jia Wu ; Philip S. Yu ; Heiko Ludwig ; Stephan Reiff-Marganiec ; Emma Zhang ; Anca Sailer ; Nicola Bena ; Kuang Li ; Yuji Watanabe ; Tiancheng Zhao ; Shangguang Wang ; Zhiying Tu ; Yingjie Wang ; Kang Wei. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 778-787
@inproceedings{140c91d8c7c744bd8c2de2892fc1e638,
title = "A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing",
abstract = "Mobile edge computing(MEC) is an innovative technology that deploys computing resources around the demand side to provide near-request and responsiveness-guaranteed computing and storage services. A major attention paid by related works in this direction is mobility, where mobile traces of both edge users and servers are analyzed and exploited for accommodating offloading and migration requests for computation resources in a highly dynamic MEC environment. Our research in this work suggests that information of user interests, in terms of points of interest (POI), can be exploited in conjunction with mobility as well and proposes a hybrid method for for interest-informed and mobility-aware service migration path selection(HIMS). It synthesizes a trajectory prediction model and user interests prediction one for selecting target servers and reliable service migration paths. Experimental results demonstrate that our approach outperforms traditional methods across multiple performance metrics, especially those with sole input of mobility.",
keywords = "Mobile Edge Computing, Position of Interest (POI), Service Migration, Trajectory Prediction",
author = "Mengxuan Dai and Yunni Xia and Xu Wang and Lei Yu and Xingli Zhong and Hui Liu and Qing Xia and Peng, {Qing Lan} and Xiaoning Sun and Jiajun Su",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Web Services, ICWS 2024 ; Conference date: 07-07-2024 Through 13-07-2024",
year = "2024",
doi = "10.1109/ICWS62655.2024.00097",
language = "English",
pages = "778--787",
editor = "Chang, {Rong N.} and Chang, {Carl K.} and Zigui Jiang and Jingwei Yang and Zhi Jin and Michael Sheng and Jing Fan and Fletcher, {Kenneth K.} and Qiang He and Qiang He and Claudio Ardagna and Jian Yang and Jianwei Yin and Zhongjie Wang and Amin Beheshti and Stefano Russo and Nimanthi Atukorala and Jia Wu and Yu, {Philip S.} and Heiko Ludwig and Stephan Reiff-Marganiec and Emma Zhang and Anca Sailer and Nicola Bena and Kuang Li and Yuji Watanabe and Tiancheng Zhao and Shangguang Wang and Zhiying Tu and Yingjie Wang and Kang Wei",
booktitle = "Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
}
Dai, M, Xia, Y, Wang, X, Yu, L, Zhong, X, Liu, H, Xia, Q, Peng, QL, Sun, X & Su, J 2024, A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing. in RN Chang, CK Chang, Z Jiang, J Yang, Z Jin, M Sheng, J Fan, KK Fletcher, Q He, Q He, C Ardagna, J Yang, J Yin, Z Wang, A Beheshti, S Russo, N Atukorala, J Wu, PS Yu, H Ludwig, S Reiff-Marganiec, E Zhang, A Sailer, N Bena, K Li, Y Watanabe, T Zhao, S Wang, Z Tu, Y Wang & K Wei (eds), Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. Institute of Electrical and Electronics Engineers Inc., pp. 778-787, 2024 IEEE International Conference on Web Services, ICWS 2024, Shenzhen, China, 7/07/24. https://doi.org/10.1109/ICWS62655.2024.00097
A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing. / Dai, Mengxuan; Xia, Yunni; Wang, Xu et al.
Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. ed. / Rong N. Chang; Carl K. Chang; Zigui Jiang; Jingwei Yang; Zhi Jin; Michael Sheng; Jing Fan; Kenneth K. Fletcher; Qiang He; Qiang He; Claudio Ardagna; Jian Yang; Jianwei Yin; Zhongjie Wang; Amin Beheshti; Stefano Russo; Nimanthi Atukorala; Jia Wu; Philip S. Yu; Heiko Ludwig; Stephan Reiff-Marganiec; Emma Zhang; Anca Sailer; Nicola Bena; Kuang Li; Yuji Watanabe; Tiancheng Zhao; Shangguang Wang; Zhiying Tu; Yingjie Wang; Kang Wei. Institute of Electrical and Electronics Engineers Inc., 2024. p. 778-787.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
TY - GEN
T1 - A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing
AU - Dai, Mengxuan
AU - Xia, Yunni
AU - Wang, Xu
AU - Yu, Lei
AU - Zhong, Xingli
AU - Liu, Hui
AU - Xia, Qing
AU - Peng, Qing Lan
AU - Sun, Xiaoning
AU - Su, Jiajun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Mobile edge computing(MEC) is an innovative technology that deploys computing resources around the demand side to provide near-request and responsiveness-guaranteed computing and storage services. A major attention paid by related works in this direction is mobility, where mobile traces of both edge users and servers are analyzed and exploited for accommodating offloading and migration requests for computation resources in a highly dynamic MEC environment. Our research in this work suggests that information of user interests, in terms of points of interest (POI), can be exploited in conjunction with mobility as well and proposes a hybrid method for for interest-informed and mobility-aware service migration path selection(HIMS). It synthesizes a trajectory prediction model and user interests prediction one for selecting target servers and reliable service migration paths. Experimental results demonstrate that our approach outperforms traditional methods across multiple performance metrics, especially those with sole input of mobility.
AB - Mobile edge computing(MEC) is an innovative technology that deploys computing resources around the demand side to provide near-request and responsiveness-guaranteed computing and storage services. A major attention paid by related works in this direction is mobility, where mobile traces of both edge users and servers are analyzed and exploited for accommodating offloading and migration requests for computation resources in a highly dynamic MEC environment. Our research in this work suggests that information of user interests, in terms of points of interest (POI), can be exploited in conjunction with mobility as well and proposes a hybrid method for for interest-informed and mobility-aware service migration path selection(HIMS). It synthesizes a trajectory prediction model and user interests prediction one for selecting target servers and reliable service migration paths. Experimental results demonstrate that our approach outperforms traditional methods across multiple performance metrics, especially those with sole input of mobility.
KW - Mobile Edge Computing
KW - Position of Interest (POI)
KW - Service Migration
KW - Trajectory Prediction
UR - http://www.scopus.com/inward/record.url?scp=85210261978&partnerID=8YFLogxK
U2 - 10.1109/ICWS62655.2024.00097
DO - 10.1109/ICWS62655.2024.00097
M3 - Conference contribution
AN - SCOPUS:85210261978
SP - 778
EP - 787
BT - Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024
A2 - Chang, Rong N.
A2 - Chang, Carl K.
A2 - Jiang, Zigui
A2 - Yang, Jingwei
A2 - Jin, Zhi
A2 - Sheng, Michael
A2 - Fan, Jing
A2 - Fletcher, Kenneth K.
A2 - He, Qiang
A2 - He, Qiang
A2 - Ardagna, Claudio
A2 - Yang, Jian
A2 - Yin, Jianwei
A2 - Wang, Zhongjie
A2 - Beheshti, Amin
A2 - Russo, Stefano
A2 - Atukorala, Nimanthi
A2 - Wu, Jia
A2 - Yu, Philip S.
A2 - Ludwig, Heiko
A2 - Reiff-Marganiec, Stephan
A2 - Zhang, Emma
A2 - Sailer, Anca
A2 - Bena, Nicola
A2 - Li, Kuang
A2 - Watanabe, Yuji
A2 - Zhao, Tiancheng
A2 - Wang, Shangguang
A2 - Tu, Zhiying
A2 - Wang, Yingjie
A2 - Wei, Kang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Web Services, ICWS 2024
Y2 - 7 July 2024 through 13 July 2024
ER -
Dai M, Xia Y, Wang X, Yu L, Zhong X, Liu H et al. A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing. In Chang RN, Chang CK, Jiang Z, Yang J, Jin Z, Sheng M, Fan J, Fletcher KK, He Q, He Q, Ardagna C, Yang J, Yin J, Wang Z, Beheshti A, Russo S, Atukorala N, Wu J, Yu PS, Ludwig H, Reiff-Marganiec S, Zhang E, Sailer A, Bena N, Li K, Watanabe Y, Zhao T, Wang S, Tu Z, Wang Y, Wei K, editors, Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 778-787 doi: 10.1109/ICWS62655.2024.00097