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EdgeBench: Benchmarking Edge Computing Platforms [article]

Anirban Das, Stacy Patterson, Mike P. Wittie
2018 arXiv   pre-print
The emerging trend of edge computing has led several cloud providers to release their own platforms for performing computation at the 'edge' of the network.  ...  We compare two such platforms, Amazon AWS Greengrass and Microsoft Azure IoT Edge, using a new benchmark comprising a suite of performance metrics.  ...  We present EdgeBench 1 -an open-source benchmark suite for serverless edge computing platforms.  ... 
arXiv:1811.05948v1 fatcat:vcakdecnifatdmnxuinz3t3flm

A Survey on Edge Performance Benchmarking [article]

Blesson Varghese and Nan Wang and David Bermbach and Cheol-Ho Hong and Eyal de Lara and Weisong Shi and Christopher Stewart
2020 arXiv   pre-print
Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services.  ...  It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.  ...  Software Platforms. Orchestrators, cloud services, schedulers, and AI platforms are examples of software platforms that are benchmarked on edge computing systems.  ... 
arXiv:2004.11725v2 fatcat:gyqqgfqf5fe2jk2ntlnd2itmli

A Survey on Edge Performance Benchmarking

Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal De Lara, Weisong Shi, Christopher Stewart
2021 ACM Computing Surveys  
Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services.  ...  It then systematically classifies previous research to identify the system under test, techniques analyzed, and benchmark runtime in edge performance benchmarking.  ...  Software Platforms. Orchestrators, cloud services, schedulers, and AI platforms are examples of software platforms that are benchmarked on edge computing systems.  ... 
doi:10.1145/3444692 fatcat:75kmnweazzeppefekfyrxmemze

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking [article]

Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
2019 arXiv   pre-print
So for edge computing benchmarking, we must take an end-to-end view, considering all three layers: client-side devices, edge computing layer, and cloud servers.  ...  This paper presents the BenchCouncil's coordinated e ort on edge AI benchmarks, named Edge AIBench.  ...  EdgeBench [11] compares two edge computing platforms-Amazon AWS Greengrass and Microsoft Azure IoT Edge. And it includes two AI applications: speech-to-text and image recognition.  ... 
arXiv:1908.01924v1 fatcat:bopkwri2qnhxbnxhkq72ply3ca

DeFog

Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2019 Proceedings of the 4th ACM/IEEE Symposium on Edge Computing - SEC '19  
However, there are currently no benchmarks that can directly compare the performance of the application across the cloud-only, edgeonly and cloud-edge deployment platform to obtain any insight on performance  ...  The current portfolio of DeFog benchmarks comprises six relevant applications conducive to using the edge.  ...  applications, 22 https://github.com/Picovoice/stt-benchmark 23 https://github.com/akaanirban/edgebench (2) Computational performance metrics, include the time taken to execute a computational task,  ... 
doi:10.1145/3318216.3363299 dblp:conf/edge/McChesney0TLV19 fatcat:3cichpci2bci5gi3v25bzhiqsa

OpenRTiST: End-to-End Benchmarking for Edge Computing

Shilpa George, Thomas Eiszler, Roger Iyengar, Haithem Turki, Ziqiang Feng, Junjue Wang, Padmanabhan Pillai, Mahadev Satyanarayanan
2020 IEEE pervasive computing  
The growth of edge computing depends on large-scale deployments of edge infrastructure.  ...  We compare end-to-end application latency over varying network conditions and measure performance across a variety of edge platforms.  ...  These attributes make it an excellent application to perform end-to-end benchmarking of edge platforms.  ... 
doi:10.1109/mprv.2020.3028781 fatcat:w63esar2gvdwzf3dc3cftcra2q

SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing [article]

Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler
2021 arXiv   pre-print
To address this challenge, we propose the Serverless Benchmark Suite: the first benchmark for FaaS computing that systematically covers a wide spectrum of cloud resources and applications.  ...  facilities experimental evaluation of serverless systems, and delivers a standardized, reliable and evolving evaluation methodology of performance, efficiency, scalability and reliability of middleware FaaS platforms  ...  programme (grant agreement DAPP, No. 678880), and from the German Research Foundation (DFG) and the Swiss National Science Foundation (SNF) through the DFG Priority Programme 1648 Software for Exascale Computing  ... 
arXiv:2012.14132v2 fatcat:i6hehq4zqfht3f6ovuljvkzvsu

Secure FaaS orchestration in the fog: how far are we?

Alessandro Bocci, Stefano Forti, Gian-Luigi Ferrari, Antonio Brogi
2021 Computing  
Our analysis identify trends and gaps in the literature, paving the way to further research on securing FaaS orchestrations in Fog computing landscapes.  ...  offering an overview of the existing literature in the field of next-gen FaaS from three different perspectives: (i) the definition of FaaS orchestrations, (ii) the execution of FaaS orchestrations in Fog computing  ...  testbed for research & education", funded by the Department of Computer Science of the University of Pisa, Italy.  ... 
doi:10.1007/s00607-021-00924-y fatcat:k7nlvcrfcncgzfqeb2lnsdjizm

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
The deliverable starts with an overview of AI applications and edge computing market trends.  ...  The aim of the AI-SPRINT "Artificial intelligence in Secure PRIvacy-preserving computing coNTinuum" project is to develop a platform composed of design and runtime management tools to seamlessly design  ...  EdgeBench [Das2018] has a specific focus on Cloud providers edge solution and compares AWS Greengrass and Microsoft Azure IoT Edge while AI Benchmark [Ignatov2018] is a benchmark suite specific for  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty

Serverless edge analytics : Investigation on the strenghts and drawbacks of serverless edge analytics with current tools and frameworks

Michael Pazourek, Schahram Dustdar
2020
to tackle the challenges of analyzing data within serverless edge computing and edge computing in the future.  ...  Serverless Computing ist zudem eine Neuerung welche vorangig im Cloud Computing entstanden ist, aber auch auf Edge Geräten sinnvoll erscheint.  ...  EdgeBench: Benchmarking Edge Computing Platforms Das, Patterson and Wittie compared two of the newly available edge computing platforms, AWS Greengrass and Microsoft Azure IoT Edge by benchmarking them  ... 
doi:10.34726/hss.2019.59322 fatcat:sjcnvsoj2faxpa7wfaclzas2na

Improving Serverless Edge Computing for Network Bound Workloads

Jacob Palecek, Schahram Dustdar, Philipp Alexander Raith
2022
Edge computing offers an attractive computing paradigm to address these needs but brings with it several challenges.  ...  serverless frameworks are not build for the unique requirements of edge computing.  ...  While there is effort to develop systematic benchmarks for edge computing, for example EdgeBench [DPW18] , there is much to be done in terms of modelling network topologies and dynamically changing environments  ... 
doi:10.34726/hss.2022.84900 fatcat:ltc6jwqtjnen3ihfjt6iglwh6m