Harindu Korala
ABSTRACT
The Internet of Things (IoT) is growing fast and is gaining significant adoption in areas such as smart cities and manufacturing. The variety and low-cost of IoT devices with excellent audio/visual sensors is fueling the growth of multimedia IoT applications, many of which are bandwidth-hungry and time-sensitive (i.e., must produce their results within an application specific time-sensitive requirement). While a large body of related work has studied distribution of such Time Sensitive Multimedia IoT (TS-MIoT) applications in simulated environments, there is lack of a platform that can be used to experiment with techniques for meeting their time-sensitive and computing resource requirements on real-world IoT infrastructure, i.e., a combination of IoT devices, close by computers and a cloud data centre connected by a variety of networks. This paper proposes APOLLO, a platform for experimental analysis of TS-MIoT applications. APOLLO provides mechanisms to load TS-MIoT application execution plans and execute the plans on available IoT infrastructure. We describe a proof-of-concept implementation using Orleans and present experimental evaluations to validate APOLLO's ability to support the experimental analysis of TS-MIoT applications.
- Ala Al-Fuqaha, Mohsen Guizani, Mehdi Mohammadi, Mohammed Aledhari, and Moussa Ayyash. 2015. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials 17, 4 (2015), 2347--2376.Google Scholar
Digital Library
- Flavio Bonomi, Rodolfo Milito, Preethi Natarajan, and Jiang Zhu. 2014. Fog computing: A platform for internet of things and analytics. Springer, 169--186.Google Scholar
- Gary Bradski and Adrian Kaehler. 2000. OpenCV. Dr. Dobb's journal of software tools 3 (2000).Google Scholar
- Sergey Bykov, Alan Geller, Gabriel Kliot, James R Larus, Ravi Pandya, and Jorgen Thelin. 2011. Orleans: cloud computing for everyone. In Proceedings of the 2nd ACM Symposium on Cloud Computing. ACM, 16. Google ScholarDigital Library
- Rodrigo N Calheiros, Rajiv Ranjan, Anton Beloglazov, César AF De Rose, and Rajkumar Buyya. 2011. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and experience 41, 1 (2011), 23--50. Google ScholarDigital Library
- Bin Cheng, Gürkan Solmaz, Flavio Cirillo, Ernö Kovacs, Kazuyuki Terasawa, and Atsushi Kitazawa. 2017. FogFlow: Easy programming of IoT services over cloud and edges for smart cities. IEEE Internet of Things Journal 5, 2 (2017), 696--707.Google ScholarCross Ref
- Cisco. 2019. https://www.cisco.com/c/en/us/products/collateral/routers/800-series-industrial-routers/datasheet-c78-739643.htmlGoogle Scholar
- Jon Galloway, Phil Haack, Brad Wilson, and K Scott Allen. 2012. Professional ASP. NET MVC 4. John Wiley and Sons. Google ScholarDigital Library
- Dimitrios Georgakopoulos and Prem Prakash Jayaraman. 2016. Internet of things: from internet scale sensing to smart services. Computing 98, 10 (2016), 1041--1058. Google ScholarDigital Library
- Harshit Gupta, Amir Vahid Dastjerdi, Soumya K Ghosh, and Rajkumar Buyya. 2017. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments. Software: Practice and Experience 47, 9 (2017), 1275--1296.Google ScholarCross Ref
- Hua-Jun Hong, Pei-Hsuan Tsai, and Cheng-Hsin Hsu. 2016. Dynamic module deployment in a fog computing platform. In 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 1--6.Google ScholarCross Ref
- Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, and Umakishore Ramachandran. 2017. Emufog: Extensible and scalable emulation of large-scale fog computing infrastructures. In 2017 IEEE Fog World Congress (FWC). IEEE, 1--6.Google ScholarCross Ref
- Irene et al. Moser. 2019. A Methodology for Empirically Evaluating Passenger Counting Technologies in Public Transport.Google Scholar
- Pushkara Ravindra, Aakash Khochare, Siva Prakash Reddy, Sarthak Sharma, Prateeksha Varshney, and Yogesh Simmhan. 2017. ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge. In International Conference on Service-Oriented Computing. Springer, 395--410.Google ScholarDigital Library
- Ola Salman, Imad Elhajj, Ayman Kayssi, and Ali Chehab. 2015. Edge computing enabling the Internet of Things. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). IEEE, 603--608. Google ScholarDigital Library
- Mohit Taneja and Alan Davy. 2017. Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm. In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). IEEE, 1222--1228.Google ScholarCross Ref
- Michael Vögler, Johannes M Schleicher, Christian Inzinger, and Schahram Dustdar. 2015. DIANE-dynamic IoT application deployment. In 2015 IEEE International Conference on Mobile Services. IEEE, 298--305. Google ScholarDigital Library
- Barry Watson. 2016. Stopping distances: speed and braking. Retrieved 20/10/2020 from https://www.qld.gov.au/transport/safety/road-safety/driving-safely/stopping-distancesGoogle Scholar
- Wikipedia. 2020. Actor model. https://en.wikipedia.org/wiki/Actor_modelGoogle Scholar
- Wikipedia. 2020. Business Process Model and Notation. https://en.wikipedia.org/wiki/Business_Process_Model_and_NotationGoogle Scholar
- Xuezhi Zeng, Saurabh Kumar Garg, Peter Strazdins, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, and Rajiv Ranjan. 2017. IOTSim: A simulator for analysing IoT applications. Journal of Systems Architecture 72 (2017), 93--107. Google ScholarDigital Library
Index Terms
- APOLLO: a platform for experimental analysis of time sensitive multimedia IoT applications
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