Evaluating Apache OpenWhisk - FaaS

Quevedo, Sebastian; Merchan, Freddy; Rivadeneira, Rafael E.; Domínguez, Federico

doi:10.1109/etcm48019.2019.9014867

Cited by 14 publications

(3 citation statements)

References 5 publications

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“…The literature gives special attention to the case of serverless computing to the edge for IoT [12,65]. It is possible to ind tools for serverless computing on the edge, such as OpenWhisk [103]. Nevertheless, it is still necessary to integrate serverless computing into the MEC implementations.…”

Section: Implementations and Tools Fine-tuningmentioning

confidence: 99%

On the Edge of the Deployment: A Survey on Multi-access Edge Computing

2022

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Multi-Access Edge Computing (MEC) attracts much attention from the scientific community due to its scientific, technical, and commercial implications. In particular, the ETSI standard convergence consolidates the discussions around MEC. Still, the existing MEC practical initiatives are incomplete in their majority, hardening or invalidating their effective deployment. To fill this gap, it is essential to understand a series of experimental prototypes, implementations, and deployments. The early implementations can reveal the potential, the limitations, the related technologies, and the development tools for MEC adoption. In this context, this work first brings a discussion on existing MEC initiatives regarding the use cases they target and their vision (i.e., whether they are more network-related or more distributed systems). Second, we survey MEC practical initiatives according to their strategies, including the ETSI MEC standard. Besides, we compare the strategies according to related limitations, impact, and deployment efforts. We also survey the existing tools making MEC systems a reality. Finally, we give hints to issues yet to be addressed in practice. By bringing a better comprehension of MEC initiatives, we believe this survey will help researchers and developers design their own MEC systems or improve and simplify the usability of existing ones.

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Section: Implementations and Tools Fine-tuningmentioning

confidence: 99%

On the Edge of the Deployment: A Survey on Multi-access Edge Computing

2022

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“…IBM Cloud has built their IBM Cloud Functions on top of Apache Open-Whisk utilizing the power of OpenWhisk's services. OpenWhisk has multiple components and relatively consumes more resources due to the added components [26]. For the purposes of this research, we will be utilizing the Lean Lean OpenWhisk supports the same number of languages as its master branch but is not natively compatible with the ARM architecture.…”

Section: Apache Openwhiskmentioning

confidence: 99%

Serverless Platforms on the Edge: A Performance Analysis

Javed¹,

Toosi²,

Aslanpour³

2021

Preprint

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The exponential growth of Internet of Things (IoT) has given rise to a new wave of edge computing due to the need to process data on the edge, closer to where it is being produced and attempting to move away from a cloud-centric architecture. This provides its own opportunity to decrease latency and address data privacy concerns along with the ability to reduce public cloud costs. The serverless computing model provides a potential solution with its event-driven architecture to reduce the need for ever-running servers and convert the backend services to an as-used model. This model is an attractive prospect in edge computing environments with varying workloads and limited resources. Furthermore, its setup on the edge of the network promises reduced latency to the edge devices communicating with it and eliminates the need to manage the underlying infrastructure. In this book chapter, first, we introduce the novel concept of serverless edge computing, then, we analyze the performance of multiple serverless platforms, namely, OpenFaaS, AWS Greengrass, Apache OpenWhisk, when set up on the single-board computers (SBCs) on the edge and compare it with public cloud serverless offerings, namely, AWS Lambda and Azure Functions, to deduce the suitability of serverless architectures on the network edge. These serverless platforms are set up on a cluster of Raspberry Pis and we evaluate their performance by simulating different types of edge workloads. The evaluation results show that OpenFaaS achieves the lowest response time on the SBC edge computing infrastructure while serverless cloud offerings are the most reliable with the highest success rate.

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“…Це спонукає постачальників Рис 12. Тривалість холодного старту Apache OpenWhisk для мови JavaScript для стандартних та оптимізованих параметрів функції[8] Тривалість холодного старту Apache OpenWhisk для мови Java для стандартних та оптимізованих параметрів функції[8]…”

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Comparison of using Apache OpenWhisk and Google Cloud Functions for development of serverless applications on Google Cloud Platform

Kondratiuk¹,

Naumenko²

2021

SRIT

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A comparison of using proprietary cloud platform Google Cloud Functions and open source platform Apache OpenWhisk for writing serverless applications based on the Google Cloud Platform was made. The following criteria were chosen for comparison: supported programming languages, convenience and speed of development and deployment of functions, possible ways to pass parameters to functions, options for monitoring the status of functions, speed of the cold start. As a result, main advantages and disadvantages of each platform were identified. Recommendations for use cases are given based on the features of the platforms. The results of the study can be used for further studies in the field of FaaS technologies, as there are a lot of solutions in this area that also need to be compared.

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Evaluating Apache OpenWhisk - FaaS

Cited by 14 publications

References 5 publications

On the Edge of the Deployment: A Survey on Multi-access Edge Computing

On the Edge of the Deployment: A Survey on Multi-access Edge Computing

Serverless Platforms on the Edge: A Performance Analysis

Comparison of using Apache OpenWhisk and Google Cloud Functions for development of serverless applications on Google Cloud Platform

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