Leveraging the Serverless Architecture for Securing Linux Containers

Bila, Nilton; Dettori, Paolo; Kanso, Ali; Watanabe, Yousuke; Youssef, Alaa

doi:10.1109/icdcsw.2017.66

Cited by 40 publications

(21 citation statements)

References 4 publications

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“…AWS Lambda is being used to support a wider range of applications and use cases [2], [3], [4], [5], [6]. Yan [6]. While using Virtual Machines or containers for serving models is the norm, the use of serverless for model inferencing has been previously proposed [22], [23].…”

Section: Related Workmentioning

confidence: 99%

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Serving Deep Learning Models in a Serverless Platform

Ishakian

Muthusamy

Slominski

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

119

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Serverless computing has emerged as a compelling paradigm for the development and deployment of a wide range of event based cloud applications. At the same time, cloud providers and enterprise companies are heavily adopting machine learning and Artificial Intelligence to either differentiate themselves, or provide their customers with value added services. In this work we evaluate the suitability of a serverless computing environment for the inferencing of large neural network models. Our experimental evaluations are executed on the AWS Lambda environment using the MxNet deep learning framework. Our experimental results show that while the inferencing latency can be within an acceptable range, longer delays due to cold starts can skew the latency distribution and hence risk violating more stringent SLAs.

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Section: Related Workmentioning

confidence: 99%

“…Serverless platforms promise new capabilities that make writing scalable microservices easier and cost effective, positioning themselves as the next step in the evolution of cloud computing architectures. It has been utilized to support a wider range of applications [2], [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Serving Deep Learning Models in a Serverless Platform

Ishakian

Muthusamy

Slominski

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

119

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“…The power of serverless computing has been leveraged for providing security for various systems and infrastructures. A mechanism for securing Linux containers has been proposed in [39]. Serverless services have also been utilized for intrusion detection.…”

Section: Securitymentioning

confidence: 99%

Serverless Computing: A Survey of Opportunities, Challenges and Applications

Shafiei¹,

Khonsari²,

Mousavi³

2020

Preprint

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The topic of serverless computing has proved to be a controversial subject both within academic and industrial communities. Many have praised the approach to be a platform for a new era of computing and some have argued that it is in fact a step backward. Though, both sides agree that there exist challenges that must be addressed in order to better utilize its potentials. This paper surveys existing challenges toward vast adoption of serverless services and also explores some of the challenges that have not been thoroughly discussed in the previous studies. Each challenge is discussed thoroughly and a number of possible directions for future studies is proposed. Moreover, the paper reviews some of the unique opportunities and potentials that the serverless computing presents.

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“…Regarding serverless and FaaS security, some initial works are starting to provide isolation at microservices and Serverless computing. Recently, Bila et al [32] propose a policy-based improvement in the serverless architecture to guarantying and rebuilding vulnerable containers, that can be included as part of the security orchestration. Containers might have built-in vulnerabilities because of wrong configurations or just by the fact of including executable binaries with security flaws.…”

Section: Security and Privacymentioning

confidence: 99%

Research challenges in nextgen service orchestration

Vaquero

Cuadrado

Elkhatib

et al. 2019

Future Generation Computer Systems

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Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in modern Information Technology infrastructures. These technologies change the characteristics and capabilities of the underlying computational substrate where services run (e.g. higher volatility, scarcer computational power, or programmability). As a consequence, the nature of the services that can be run on them changes too (smaller codebases, more fragmented state, etc.). These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver a seamless user experience. Here, we present the challenges brought forward by this new breed of technologies and where current orchestration techniques stand with regards to the new challenges. We also present a set of promising technologies that can help tame this brave new world.

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Leveraging the Serverless Architecture for Securing Linux Containers

Cited by 40 publications

References 4 publications

Serving Deep Learning Models in a Serverless Platform

Serving Deep Learning Models in a Serverless Platform

Serverless Computing: A Survey of Opportunities, Challenges and Applications

Research challenges in nextgen service orchestration

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