Abstract
This paper accompanies a keynote speech given at the 8th International Conference on Cloud Computing and Services Science, CLOSER 2018. The keynote offered an overview of ‘traditional’ and ‘new’ Cloud Computing, and what we might appreciate of each. In respect to ‘traditional’, issues of performance and energy efficiency, and the potential conflict between these, were discussed, as well as how these were still relevant to ‘new’ Cloud. Key to the ‘new’ Cloud is the advent of so-called function-as-a-service and edge, to which these issues of performance and lessons learned from energy efficiency can be applied. Important to this is to establish what we mean by edge as distinct from other things as may be similarly referred to. The relevance of new Cloud, then, to Connected and Autonomous Vehicles offers for an industry vertical that could exploit such formulations, and attempts to do this will lead to a variety of technical and research questions. Also, with a person in America having been killed by a vehicle acting autonomously near to the timing of this talk, safety concerns should never be far from thinking in addressing such questions.
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Notes
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Viewable at: https://cdn-images-1.medium.com/max/1000/1*jBdZHhe_Ow6o5p9ZepVBMw.jpeg.
- 2.
Arbitrary applications cannot be ‘installed’ as root, but pre-built applications can be loaded into and run on the container’s file system provided that no further privileges are needed. As such, it is possible to find out more about the working environment.
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- 4.
This should also be distinguished from the notion of a cloudlet in the CloudSim simulator, where it is a task.
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For some, though, the large boxes with data centres in are called ‘containers’, not to be confused with those used in e.g. Docker - in case the current terminology is at risk of being in any way clear.
References
Mell, P., Grance, P.: NIST Definition of Cloud Computing. NIST (2011)
O’Loughlin, J., Gillam, L.: A performance brokerage for heterogeneous clouds. Future Gener. Comput. Syst. 87, 831–845 (2018)
O’Loughlin, J., Gillam, L.: Sibling virtual machine co-location confirmation and avoidance tactics for public infrastructure clouds. J. Supercomput. 72(3), 961–984 (2016)
O’Loughlin, J., Gillam, L.: Addressing issues of cloud resilience, security and performance through simple detection of co-locating sibling virtual machine instances. In: 5th International Conference on Cloud Computing and Services Science (CLOSER 2015) (2015)
O’Loughlin, J., Gillam, L.: Performance evaluation for cost-efficient public infrastructure cloud use. In: Altmann, J., Vanmechelen, K., Rana, O.F. (eds.) GECON 2014. LNCS, vol. 8914, pp. 133–145. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-14609-6_9
Zakarya, M., Gillam, L.: Managing energy, performance and cost in large scale heterogeneous datacenters using migrations. Future Gener. Comput. Syst. 93, 529–547 (2019)
Zakarya, M., Gillam, L.: Energy efficient computing, clusters, grids and clouds: a taxonomy and survey. J. Sustain. Comput. Inf. Syst. 14, 13–33 (2017)
Zakarya, M., Gillam, L.: An energy aware cost recovery approach for virtual machine migration. In: Bañares, J.Á., Tserpes, K., Altmann, J. (eds.) GECON 2016. LNCS, vol. 10382, pp. 175–190. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61920-0_13
Stevens, A., et al.: Cooperative automation through the cloud: the CARMA project. In: Proceedings of 12th ITS European Congress (2017)
Gillam, L., Katsaros, K., Dianati, M., Mouzakitis, A.: Exploring edges for connected and autonomous driving. In: IEEE INFOCOM Workshops: CCSNA 2018 (2018)
Morgan, T.P.: A rare Peek Intro The Massive Scale of AWS (2014). https://www.enterprisetech.com/2014/11/14/rare-peek-massive-scale-aws/
Greenpeace: Make IT Green: Cloud Computing and its Contribution to Climate Change, Greenpeace (2010)
O’Loughlin, J., Gillam, L.: Should infrastructure clouds be priced entirely on performance? An EC2 case study. Int. J. Big Data Intell. 1(4), 215–229 (2014)
ETSI. Mobile Edge Computing (MEC). Introductory Technical White Paper, ETSI (2014)
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC 2012, New York, USA, pp. 13–16 (2012)
Senior, S., Rec, C., Nishar, H., Horton, T.: AWS Connected Vehicle Solution: AWS Implementation Guide (2017). https://s3.amazonaws.com/solutions-reference/connected-vehicle-cloud/latest/connected-vehicle-solution.pdf
Acknowledgments
The author is grateful to the CLOSER organisers for the invitation to give a keynote, and to the audience for remaining for its duration. The author is additionally grateful to Drs. O’Loughlin and Zakarya for their significant contributions through doctoral research to performance evaluation and energy efficiency, respectively. Work on CARMA is supported by EPSRC and Jaguar Land through grant EP/N01300X/1 as part of the Towards Autonomy: Smart and Connected Control (TASCC) Programme.
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Gillam, L. (2019). Will Cloud Gain an Edge, or, CLOSER, to the Edge. In: Muñoz, V., Ferguson, D., Helfert, M., Pahl, C. (eds) Cloud Computing and Services Science. CLOSER 2018. Communications in Computer and Information Science, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-29193-8_2
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