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Dynamic Scaling of Video Analytics for Wide-area Tracking in Urban Spaces

, , , and . IEEE International Scalable Computing Challenge (SCALE), Co-located with IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), page 76--81. (2019)SCALE Challenge Winner.
DOI: 10.1109/CCGRID.2019.00018

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Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources., , , , and . CCGRID, page 473-483. IEEE, (2022)Distributed Video Analytics across Edge and Cloud using ECHO, , , and . International Conference on Service-Oriented Computing (ICSOC) Demo, page 1--6. (2017)Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces., , , and . CCGRID, page 76-81. IEEE, (2019)Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for UAV Fleet Missions., , , and . IEEE/ACM Trans. Netw., 32 (1): 17-33 (February 2024)A scalable and composable analytics platform for distributed wide-area tracking., and . ICDCN, page 506. ACM, (2019)XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds., , , and . CCGrid, page 498-512. IEEE, (2023)c: Privacy Respecting Contact Tracing for COVID-19 Management, , , , , , , , , and 2 other author(s). Journal of the Indian Institute of Science, (2020)To Appear.Distributed Video Analytics Across Edge and Cloud Using ECHO., , , and . ICSOC Workshops, volume 10797 of Lecture Notes in Computer Science, page 402-407. Springer, (2017)ECHO : An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge., , , , , and . ICSOC, volume 10601 of Lecture Notes in Computer Science, page 395-410. Springer, (2017)Don't Miss the Train: A Case for Systems Research into Training on the Edge., , , , and . IPDPS Workshops, page 985-986. IEEE, (2022)