ECHO: An adaptive orchestration platform for hybrid dataflows across cloud and edge

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10601 LNCS, Issue , 2017, Pages 395-410

  Ravindra, Pushkara ^a   Khochare, Aakash ^a   Reddy, Siva Prakash ^a   Sharma, Sarthak ^a   Varshney, Prateeksha ^a   Simmhan, Yogesh ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FLOW ANALYSIS; DISTRIBUTED COMPUTER SYSTEMS; GATEWAYS (COMPUTER NETWORKS); MOBILE TELECOMMUNICATION SYSTEMS; PLATFORM AS A SERVICE (PAAS); SMART CITY;

DISTRIBUTED RESOURCES; EDGE COMPUTING; GATEWAY DEVICES; INTERNET OF THING (IOT); OBSERVATIONAL DATA; REAL-TIME DATA; STATE MANAGEMENT; VIDEO ANALYTICS;

INTERNET OF THINGS;

EID: 85034088330     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-69035-3_28     Document Type: Conference Paper

References (22)

1. Simmhan, Y., Aman, S., Kumbhare, A., Liu, R., Stevens, S., Zhou, Q., Prasanna, V.: Cloud-based software platform for big data analytics in smart grids. IEEE/AIP Comput. Sci. Eng. (2013)
2. Amrutur, B., Rajaraman, V., Acharya, S., Ramesh, R., Joglekar, A., Sharma, A., Simmhan, Y., Lele, A., Mahesh, A., Sankaran, S.: An open smart city IoT test bed: street light poles as smart city spines. In: ACM/IEEE International Conference on Internet of Things Design and Implementation (2017)
3. Simmhan, Y.: IoT analytics across edge and cloud platforms. IEEE IoT Newsl., May 2017
4. Garcia Lopez, P., Montresor, A., Epema, D., Datta, A., Higashino, T., Iamnitchi, A., Barcellos, M., Felber, P., Riviere, E.: Edge-centric computing: vision and challenges. ACM Comput. Comm. Rev. (2015)
5. Ghosh, R., Simmhan, Y.: Distributed scheduling of event analytics across edge and cloud, CoRR, no. 1608.01537 (2016)
6. Varshney, P., Simmhan, Y.: Demystifying fog computing: Characterizing architectures, applications and abstractions. In: IEEE International Conference on Fog and Edge Computing (2017)
7. Mineraud, J., Mazhelis, O., Su, X., Tarkoma, S.: A gap analysis of internet-of-things platforms. Comput. Commun. 89, 5–16 (2016)
8. Eclipse Kura, http://www.eclipse.org/kura/. Accessed 21 June 2017
9. VMware Liota, https://github.com/vmware/liota. Accessed 21 June 2017
10. Apache Edgent, v1.1.0, http://edgent.apache.org/. Accessed 21 June 2017
11. Abadi, M., et al.: Tensorflow: large-scale machine learning on heterogeneous distributed systems. In: USENIX Symposium on Operating Systems Design and Implementation (2016)
12. Beart, P.: Automatic resource discovery for the internet of things - specification, The British Standards Institution. Tech. Rep. PAS 212:2016 (2016)
13. Ess, A., Leibe, B., Schindler, K., van Gool, L.: A mobile vision system for robust multi-person tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2008)
14. Shukla, A., Chaturvedi, S., Simmhan, Y.: RIoTBench: a real-time IoT benchmark for distributed stream processing platforms, CoRR, no. 1701.08530 (2017)
15. Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger, CoRR, no. 1612.08242 (2016)
16. Georgantas, N., Billet, B.: Revisiting service-oriented architecture for the IoT: a middleware perspective. In: International Conference on Service Oriented Computing (2016)
17. Billet, B., Issarny, V.: From task graphs to concrete actions: a new task mapping algorithm for the future internet of things. In: IEEE International Conference on Mobile Ad Hoc Sensor Systems (2014)
18. Hong, K., Lillethun, D., Ramachandran, U., Ottenwälder, B., Koldehofe, B.: Mobile fog: a programming model for large-scale applications on the internet of things. In: ACM SIGCOMM Workshop on Mobile Cloud Computing (2013)
19. Yang, L., Cao, J., Yuan, Y., Li, T., Han, A., Chan, A.: A framework for partitioning and execution of data stream applications in mobile cloud computing. ACM SIGMETRICS Performance Eval. Rev. 40(4) (2013)
20. Reiter, A., Prünster, B., Zefferer, T.: Hybrid mobile edge computing: Unleashing the full potential of edge computing in mobile device use cases. In: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (2017)
21. Chun, B.-G., Ihm, S., Maniatis, P., Naik, M., Patti, A.: Clonecloud: elastic execution between mobile device and cloud. In: Conference on Computer Systems (2011)
22. Anderson, D.P., Cobb, J., Korpela, E., Lebofsky, M., Werthimer, D.: Seti@ home: an experiment in public-resource computing. CACM 45(11) (2002)