BlastFunction: an FPGA-as-a-Service system for Accelerated Serverless Computing

Bacis, Marco; Brondolin, Rolando; Santambrogio, Marco D.

doi:10.23919/date48585.2020.9116333

Cited by 21 publications

(7 citation statements)

References 16 publications

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“…Ringlein et al propose a system architecture involving disaggregated FPGAs within a FaaS ofering [102]. A distributed FPGA sharing system which realizes multi-tenancy for FPGAs in a cloud serverless environment is presented in the works of Bacis et al [14]. For certain application scenarios, serving all the queries using expensive hardware accelerators may not be economically viable (e.g., ML inference queries).…”

Section: Runtime Resource Limitationsmentioning

confidence: 99%

A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions

2022

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Serverless computing has emerged as an attractive deployment option for cloud applications in recent times. The unique features of this computing model include rapid auto-scaling, strong isolation, fine-grained billing options and access to a massive service ecosystem which autonomously handles resource management decisions. This model is increasingly being explored for deployments in geographically distributed edge and fog computing networks as well, due to these characteristics. Effective management of computing resources has always gained a lot of attention among researchers. The need to automate the entire process of resource provisioning, allocation, scheduling, monitoring and scaling, has resulted in the need for specialized focus on resource management under the serverless model. In this article, we identify the major aspects covering the broader concept of resource management in serverless environments and propose a taxonomy of elements which influence these aspects, encompassing characteristics of system design, workload attributes and stakeholder expectations. We take a holistic view on serverless environments deployed across edge, fog and cloud computing networks. We also analyse existing works discussing aspects of serverless resource management using this taxonomy. This article further identifies gaps in literature and highlights future research directions for improving capabilities of this computing model.

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Section: Runtime Resource Limitationsmentioning

confidence: 99%

A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions

2022

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“…We think a multiplexing accelerator in serverless is the key to solving these obstacles. For example, some works [98,150] integrate GPUs into serverless systems, and BlastFunction [14] makes FPGAs available in serverless. However, the current works are still insuicient.…”

Section: Accelerators In Serverlessmentioning

confidence: 99%

The Serverless Computing Survey: A Technical Primer for Design Architecture

et al. 2022

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The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has recently attracted more and more attention in both industry and academia. Due to its inherent scalability and flexibility, serverless computing becomes attractive and more pervasive for ever-growing Internet services. Despite the momentum in the cloud-native community, the existing challenges and compromises still wait for more advanced research and solutions to further explore the potentials of the serverless computing model. As a contribution to this knowledge, this article surveys and elaborates the research domains in the serverless context by decoupling the architecture into four stack layers: Virtualization, Encapsule, System Orchestration, and System Coordination. Inspired by the security model, we highlight the key implications and limitations of these works in each layer, and make suggestions for potential challenges to the field of future serverless computing.

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Section: Accelerators In Serverlessmentioning

confidence: 99%

The Serverless Computing Survey: A Technical Primer for Design Architecture

Li,

Guo,

Cheng

et al. 2021

Preprint

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The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has recently attracted more and more attention in both industry and academia. Due to its inherent scalability and flexibility, serverless computing becomes attractive and more pervasive for ever-growing Internet services. Despite the momentum in the cloud-native community, the existing challenges and compromises still wait for more advanced research and solutions to further explore the potentials of the serverless computing model. As a contribution to this knowledge, this article surveys and elaborates the research domains in the serverless context by decoupling the architecture into four stack layers: Virtualization, Encapsule, System Orchestration, and System Coordination. We highlight the key implications and limitations of these works in each layer, and make suggestions for potential challenges to the field of future serverless computing.Note: This paper has been accepted by ACM Computing Surveys (CSUR), and the current e-print version is our major revision. For a complete view, please visit ACM CSUR.

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BlastFunction: an FPGA-as-a-Service system for Accelerated Serverless Computing

Cited by 21 publications

References 16 publications

A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions

A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions

The Serverless Computing Survey: A Technical Primer for Design Architecture

The Serverless Computing Survey: A Technical Primer for Design Architecture

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