{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T09:10:08Z","timestamp":1745572208696,"version":"3.40.4"},"publisher-location":"Singapore","reference-count":36,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819650316","type":"print"},{"value":"9789819650323","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-5032-3_4","type":"book-chapter","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T08:34:24Z","timestamp":1745570064000},"page":"54-69","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Benchmarking Edge Computing Systems for\u00a0Autonomous Vehicles via\u00a0CAV Motifs"],"prefix":"10.1007","author":[{"given":"Yifan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qisong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xizi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohui","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"4_CR1","unstructured":"Asanovic, K., et al.: The landscape of parallel computing research: a view from Berkeley. EECS Department, University of California, Oakland, CA, Technical Report (2006)"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Bienia, C., Kumar, S., Singh, J.P., Li, K.: The PARSEC benchmark suite: characterization and architectural implications. In: Proceedings of the 17th International Conference on Parallel Architectures and Compilation Techniques (PACT), pp. 72\u201381. ACM (2008)","DOI":"10.1145\/1454115.1454128"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Boroujerdian, B., Genc, H., Krishnan, S., Cui, W., Faust, A., Reddi, V.: MAVBench: micro aerial vehicle benchmarking. In: Proceedings of the 51st Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO), pp. 894\u2013907. IEEE (2018)","DOI":"10.1109\/MICRO.2018.00077"},{"issue":"6","key":"4_CR4","doi-asserted-by":"publisher","first-page":"1874","DOI":"10.1109\/TRO.2021.3075644","volume":"37","author":"C Campos","year":"2021","unstructured":"Campos, C., Elvira, R., Rodr\u00edguez, J., Montiel, J.M., Tard\u00f3s, J.D.: Orb-slam3: an accurate open-source library for visual, visual-inertial, and multimap slam. IEEE Trans. Rob. 37(6), 1874\u20131890 (2021)","journal-title":"IEEE Trans. Rob."},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Che, S., et al.: Rodinia: a benchmark suite for heterogeneous computing. In: Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC), pp. 44\u201354. IEEE (2009)","DOI":"10.1109\/IISWC.2009.5306797"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Chen, T., et al.: BenchNN: on the broad potential application scope of hardware neural network accelerators. In: Proceedings of the 2012 IEEE International Symposium on Workload Characterization (IISWC), pp. 36\u201345. IEEE (2012)","DOI":"10.1109\/IISWC.2012.6402898"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Clemons, J., Zhu, H., Savarese, S., Austin, T.: MEVBench: a mobile computer vision benchmarking suite. In: Proceedings of the 2011 IEEE International Symposium on Workload Characterization (IISWC), pp. 91\u2013102. IEEE (2011)","DOI":"10.1109\/IISWC.2011.6114206"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Denby, B., Lucia, B.: Orbital edge computing: nanosatellite constellations as a new class of computer system. In: Proceedings of the 25th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 939\u2013954. ACM (2020)","DOI":"10.1145\/3373376.3378473"},{"issue":"10\u201311","key":"4_CR9","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1016\/S0167-8191(05)80033-X","volume":"17","author":"KM Dixit","year":"1991","unstructured":"Dixit, K.M.: The spec benchmarks. Parall. Comput. 17(10\u201311), 1195\u20131209 (1991)","journal-title":"Parall. Comput."},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Gan, Y., et\u00a0al.: An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems. In: Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 3\u201318. ACM (2019)","DOI":"10.1145\/3297858.3304013"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Gao, W., et\u00a0al.: AIBench: towards scalable and comprehensive datacenter AI benchmarking. In: Proceedings of the 2018 International Symposium on Benchmarking, Measuring and Optimization (Bench), pp.\u00a03\u20139. Springer (2018)","DOI":"10.1007\/978-3-030-32813-9_1"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Gao, W., et\u00a0al.: Data motifs: a lens towards fully understanding big data and AI workloads. In: Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, pp. 1\u201314 (2018)","DOI":"10.1145\/3243176.3243190"},{"key":"4_CR13","unstructured":"Gao, et\u00a0al.: BigDataBench: a scalable and unified big data and AI benchmark suite. arXiv preprint arXiv:1802.08254 (2018)"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the KITTI vision benchmark suite. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3354\u20133361. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Janai, J., G\u00fcney, F., Behl, A., Geiger, A., et\u00a0al.: Computer vision for autonomous vehicles: problems, datasets and state of the art. Found. Trends\u00ae Comput. Graph. Vis. 12(1\u20133), 1\u2013308 (2020)","DOI":"10.1561\/0600000079"},{"issue":"10","key":"4_CR16","doi-asserted-by":"publisher","first-page":"6180","DOI":"10.1109\/TCOMM.2023.3296584","volume":"71","author":"I Leyva-Mayorga","year":"2023","unstructured":"Leyva-Mayorga, I., et al.: Satellite edge computing for real-time and very-high resolution earth observation. IEEE Trans. Commun. 71(10), 6180\u20136194 (2023)","journal-title":"IEEE Trans. Commun."},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Li, H., Mei, J., Zhou, J., Hu, Y.: Zero-shot object detection based on dynamic semantic vectors. In: Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 9267\u20139273. IEEE (2023)","DOI":"10.1109\/ICRA48891.2023.10160870"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Lin, S.C., et al.: The architectural implications of autonomous driving: constraints and acceleration. In: Proceedings of the 23rd International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp. 751\u2013766. ACM (2018)","DOI":"10.1145\/3173162.3173191"},{"issue":"8","key":"4_CR19","doi-asserted-by":"publisher","first-page":"1697","DOI":"10.1109\/JPROC.2019.2915983","volume":"107","author":"S Liu","year":"2019","unstructured":"Liu, S., Liu, L., Tang, J., Yu, B., Wang, Y., Shi, W.: Edge computing for autonomous driving: opportunities and challenges. Proc. IEEE 107(8), 1697\u20131716 (2019)","journal-title":"Proc. IEEE"},{"issue":"8","key":"4_CR20","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MC.2017.3001256","volume":"50","author":"S Liu","year":"2017","unstructured":"Liu, S., Tang, J., Zhang, Z., Gaudiot, J.L.: Computer architectures for autonomous driving. Computer 50(8), 18\u201325 (2017)","journal-title":"Computer"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Liu, W., et al.: Archytas: a framework for synthesizing and dynamically optimizing accelerators for robotic localization. In: Proceedings of the 54th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO), pp. 479\u2013493 (2021)","DOI":"10.1145\/3466752.3480077"},{"issue":"3","key":"4_CR22","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MIC.2021.3066076","volume":"25","author":"S Lu","year":"2021","unstructured":"Lu, S., Shi, W.: The emergence of vehicle computing. IEEE Internet Comput. 25(3), 18\u201322 (2021)","journal-title":"IEEE Internet Comput."},{"key":"4_CR23","unstructured":"Narang, S.: DeepBench. https:\/\/svail.github.io\/DeepBench\/, 26 Sep 2016"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Nardi, L., et\u00a0al.: Introducing SLAMBench, a performance and accuracy benchmarking methodology for slam. In: Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 5783\u20135790. IEEE (2015)","DOI":"10.1109\/ICRA.2015.7140009"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Newcombe, R.A., et al.: KinectFusion: real-time dense surface mapping and tracking. In: Proceedings of the 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 127\u2013136. IEEE (2011)","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"4_CR26","doi-asserted-by":"crossref","unstructured":"Pan, X., Shi, J., Luo, P., Wang, X., Tang, X.: Spatial as deep: Spatial cnn for traffic scene understanding. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.12301"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Patterson, L., et al.: Hivemind: a hardware-software system stack for serverless edge swarms. In: Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA), pp. 800\u2013816 (2022)","DOI":"10.1145\/3470496.3527407"},{"issue":"5","key":"4_CR28","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MM.2009.74","volume":"29","author":"JA Poovey","year":"2009","unstructured":"Poovey, J.A., Conte, T.M., Levy, M., Gal-On, S.: A benchmark characterization of the eembc benchmark suite. IEEE Micro 29(5), 18\u201329 (2009)","journal-title":"IEEE Micro"},{"issue":"5","key":"4_CR29","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637\u2013646 (2016)","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"4_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11390-018-1805-8","volume":"33","author":"JH Tao","year":"2018","unstructured":"Tao, J.H., et al.: BenchIP: benchmarking intelligence processors. J. Comput. Sci. Technol. 33(1), 1\u201323 (2018)","journal-title":"J. Comput. Sci. Technol."},{"key":"4_CR31","doi-asserted-by":"crossref","unstructured":"Venkata, S.K., et al.: SD-VBS: the san diego vision benchmark suite. In: Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC), pp. 55\u201364. IEEE (2009)","DOI":"10.1109\/IISWC.2009.5306794"},{"key":"4_CR32","doi-asserted-by":"crossref","unstructured":"Wang, Y., Liu, S., Wu, X., Shi, W.: CAVBench: a benchmark suite for connected and autonomous vehicles. In: Proceedings of the 3rd IEEE\/ACM Symposium on Edge Computing (SEC), pp. 30\u201342. IEEE (2018)","DOI":"10.1109\/SEC.2018.00010"},{"issue":"1","key":"4_CR33","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s11390-024-4035-2","volume":"39","author":"B Wu","year":"2024","unstructured":"Wu, B., Zhong, R., Wang, Y., Wan, J., Zhang, J., Shi, W.: VPI: vehicle programming interface for vehicle computing. J. Comput. Sci. Technol. 39(1), 22\u201344 (2024)","journal-title":"J. Comput. Sci. Technol."},{"key":"4_CR34","doi-asserted-by":"crossref","unstructured":"Wu, T., et al.: Oops! it\u2019s too late. your autonomous driving system needs a faster middleware. IEEE Robot. Autom. Lett. 6(4), 7301\u20137308 (2021)","DOI":"10.1109\/LRA.2021.3097439"},{"issue":"1","key":"4_CR35","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/LCA.2019.2898196","volume":"18","author":"X Xie","year":"2019","unstructured":"Xie, X., Hu, X., Gu, P., Li, S., Ji, Y., Xie, Y.: NNBench-X: benchmarking and understanding neural network workloads for accelerator designs. IEEE Comput. Archit. Lett. 18(1), 38\u201342 (2019)","journal-title":"IEEE Comput. Archit. Lett."},{"key":"4_CR36","doi-asserted-by":"crossref","unstructured":"Zhang, Q., et al.: OpenVDAP: an open vehicular data analytics platform for CAVs. In: Proceedings of the 38th International Conference on Distributed Computing Systems (ICDCS), pp. 1310\u20131320. IEEE, Piscataway, NJ (2018)","DOI":"10.1109\/ICDCS.2018.00131"}],"container-title":["Lecture Notes in Computer Science","Benchmarking, Measuring, and Optimizing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-5032-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T08:34:44Z","timestamp":1745570084000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-5032-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819650316","9789819650323"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-5032-3_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Bench","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Benchmarking, Measuring and Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bench2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}