{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:58:18Z","timestamp":1775199498778,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":19,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation","award":["CNS-1527262, CNS-1718637"],"award-info":[{"award-number":["CNS-1527262, CNS-1718637"]}]},{"name":"Northrop Grumman Corporation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1145\/3366614.3368103","type":"proceedings-article","created":{"date-parts":[[2019,11,19]],"date-time":"2019-11-19T13:46:52Z","timestamp":1574171212000},"page":"10-15","source":"Crossref","is-referenced-by-count":13,"title":["Tango of edge and cloud execution for reliability"],"prefix":"10.1145","author":[{"given":"Shikhar","family":"Suryavansh","sequence":"first","affiliation":[{"name":"Purdue University"}]},{"given":"Chandan","family":"Bothra","sequence":"additional","affiliation":[{"name":"Purdue University"}]},{"given":"Mung","family":"Chiang","sequence":"additional","affiliation":[{"name":"Purdue University"}]},{"given":"Chunyi","family":"Peng","sequence":"additional","affiliation":[{"name":"Purdue University"}]},{"given":"Saurabh","family":"Bagchi","sequence":"additional","affiliation":[{"name":"Purdue University"}]}],"member":"320","reference":[{"key":"key-10.1145\/3366614.3368103-1","unstructured":"[n.d.]. AWS IoT Greengrass. https:\/\/aws.amazon.com\/greengrass\/."},{"key":"key-10.1145\/3366614.3368103-2","unstructured":"[n.d.]. AWS IoT Greengrass Usage. https:\/\/discovery.hgdata.com\/product\/aws-iot-greengrass."},{"key":"key-10.1145\/3366614.3368103-3","unstructured":"[n.d.]. CloudFront. https:\/\/aws.amazon.com\/cloudfront\/."},{"key":"key-10.1145\/3366614.3368103-4","unstructured":"[n.d.]. Lambda@Edge. https:\/\/aws.amazon.com\/lambda\/edge\/."},{"key":"key-10.1145\/3366614.3368103-5","unstructured":"Rodrigo N. Calheiros, Rajiv Ranjan, C&#233;sar A. F. De Rose, and Rajkumar Buyya. 2009. CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services. CoRR abs\/0903.2525 (2009)."},{"key":"key-10.1145\/3366614.3368103-6","unstructured":"Eduardo Cuervo, Aruna Balasubramanian, Dae-ki Cho, Alec Wolman, Stefan Saroiu, Ranveer Chandra, and Paramvir Bahl. 2010. MAUI: Making Smartphones Last Longer with Code Offload. In Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (MobiSys '10). ACM, New York, NY, USA, 49--62."},{"key":"key-10.1145\/3366614.3368103-7","doi-asserted-by":"crossref","unstructured":"M. T. Diallo, F. Fieau, and J. Hennequin. 2014. Impacts of video Quality of Experience on User Engagement in a live event. In 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). 1--7.","DOI":"10.1109\/ICMEW.2014.6890652"},{"key":"key-10.1145\/3366614.3368103-8","unstructured":"Hoang T. Dinh, Chonho Lee, Dusit Niyato, and Ping Wang. 2013. A survey of mobile cloud computing: architecture, applications, and approaches. Wireless Communications and Mobile Computing 13, 18 (2013), 1587--1611. arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/wcm.1203"},{"key":"key-10.1145\/3366614.3368103-9","unstructured":"Wenlu Hu, Ying Gao, Kiryong Ha, Junjue Wang, Brandon Amos, Zhuo Chen, Padmanabhan Pillai, and Mahadev Satyanarayanan. 2016. Quantifying the Impact of Edge Computing on Mobile Applications. In Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '16). ACM, New York, NY, USA, Article 5, 8 pages."},{"key":"key-10.1145\/3366614.3368103-10","doi-asserted-by":"crossref","unstructured":"Y. Jararweh, A. Doulat, O. AlQudah, E. Ahmed, M. Al-Ayyoub, and E. Benkhelifa. 2016. The future of mobile cloud computing: Integrating cloudlets and Mobile Edge Computing. In 2016 23rd International Conference on Telecommunications (ICT). 1--5.","DOI":"10.1109\/ICT.2016.7500486"},{"key":"key-10.1145\/3366614.3368103-11","unstructured":"Michael Nelson, Beng-Hong Lim, and Greg Hutchins. 2005. Fast Transparent Migration for Virtual Machines. In Proceedings of the Annual Conference on USENIX Annual Technical Conference (ATEC '05). USENIX Association, Berkeley, CA, USA, 25--25. http:\/\/dl.acm.org\/citation.cfm?id=1247360.1247385"},{"key":"key-10.1145\/3366614.3368103-12","unstructured":"M. Satyanarayanan. 2017. The Emergence of Edge Computing. Computer 50, 1 (Jan 2017), 30--39."},{"key":"key-10.1145\/3366614.3368103-13","unstructured":"Mahadev Satyanarayanan, Paramvir Bahl, Ram&#243;n Caceres, and Nigel Davies. 2009. The Case for VM-Based Cloudlets in Mobile Computing. IEEE Pervasive Computing 8, 4 (Oct. 2009), 14--23."},{"key":"key-10.1145\/3366614.3368103-14","unstructured":"W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu. 2016. Edge Computing: Vision and Challenges. IEEE Internet of Things Journal 3, 5 (Oct 2016), 637--646."},{"key":"key-10.1145\/3366614.3368103-15","doi-asserted-by":"crossref","unstructured":"C. Sonmez, A. Ozgovde, and C. Ersoy. 2017. EdgeCloudSim: An environment for performance evaluation of Edge Computing systems. In 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC). 39--44.","DOI":"10.1109\/FMEC.2017.7946405"},{"key":"key-10.1145\/3366614.3368103-16","unstructured":"Tim Verbelen, Pieter Simoens, Filip De Turck, and Bart Dhoedt. 2012. Cloudlets: Bringing the Cloud to the Mobile User. In Proceedings of the Third ACM Workshop on Mobile Cloud Computing and Services (MCS '12). ACM, New York, NY, USA, 29--36."},{"key":"key-10.1145\/3366614.3368103-17","unstructured":"Paul Wood, Heng Zhang, Muhammad-Bilal Siddiqui, and Saurabh Bagchi. 2017. Dependability in Edge Computing. CoRR abs\/1710.11222 (2017). arXiv:1710.11222 http:\/\/arxiv.org\/abs\/1710.11222"},{"key":"key-10.1145\/3366614.3368103-18","unstructured":"Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Sasa Misailovic, and Saurabh Bagchi. 2018. VideoChef: Efficient Approximation for Streaming Video Processing Pipelines. In 2018 USENIX Annual Technical Conference (USENIX ATC 18). USENIX Association, Boston, MA, 43--56. https:\/\/www.usenix.org\/conference\/atc18\/presentation\/xu-ran"},{"key":"key-10.1145\/3366614.3368103-19","unstructured":"Y. Yu. 2016. Mobile edge computing towards 5G: Vision, recent progress, and open challenges. China Communications 13, Supplement2 (N 2016), 89--99."}],"event":{"name":"the 4th Workshop","location":"Davis, California","acronym":"MECC '19","number":"4","sponsor":["ACM, Association for Computing Machinery","IFIP","USENIX Assoc"],"start":{"date-parts":[[2019,12,9]]},"end":{"date-parts":[[2019,12,13]]}},"container-title":["Proceedings of the 4th Workshop on Middleware for Edge Clouds &amp; Cloudlets  - MECC '19"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366614.3368103","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3368103&ftid=2097603&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:33Z","timestamp":1750202013000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3366614.3368103"}},"subtitle":[],"proceedings-subject":"Middleware for Edge Clouds & Cloudlets","short-title":[],"issued":{"date-parts":[[2019]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1145\/3366614.3368103","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}