Jumpgate

Mustard, Craig; Goswami, Swati; Gharavi, Niloofar; Nider, Joel; Beschastnikh, Ivan; Fedorova, Alexandra

doi:10.1145/3456727.3463770

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Processamento de Dados. Propostas recentes introduzem o conceito de processamento na rede como um serviço, onde a implementação de operações no plano de dados fica disponível para uso por estruturas de alto nível de ML ou análise de dados [Mustard et al 2019, Sapio et al 2017. Outras propostas introduzem a noção de consultas que acionam a coleta e a análise preliminar de dados para produzir estatísticas que podem ser posteriormente entregues a mecanismos de processamento de alto nível [Gupta et al 2018].…”

Section: Inteligência Artificial E Segurançaunclassified

Segurança Cibernética 2030: Experiências, Desafios e Oportunidades

Schaeffer-Filho,

Nobre,

Wickboldt

et al. 2023

Escola De Computação PPGC/UFRGS 50 Anos: Transformando Desafios Em Oportunidades Para O Futuro

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Cybersecurity has assumed an increasingly critical role as a fundamental pillar of a digital society, deeply interconnected and increasingly dependent on services provisioned via consolidated (e.g., 4G/5G) and emerging (such as artificial intelligence) technologies and concepts. In this context, expectations have increased that computing can contribute to solving emerging challenges in cybersecurity, especially those challenges intrinsically influenced by the particularities of Brazilian society. In this sense, there is great expectation about how computational solutions can support cybersecurity professionals and researchers in solving the challenges that plague our digital society, such as fake news, cyber scams, identity theft, data theft, privacy violations, etc. This chapter will address the cybersecurity research landscape, highlighting the opportunities and challenges that are relevant for the next decade: People-centric security, Artificial intelligence and security and Security in the era of programmable networks. ResumoA cibersegurança tem assumido um papel cada vez mais crítico como pilar fundamental de uma sociedade digital, profundamente interconectada e cada vez mais dependente de serviços provisionados via tecnologias e conceitos consolidados (por ex., 4G/5G) e emergentes (como inteligência artificial). Neste contexto, aumentaram as expectativas de que a computação possa contribuir na solução dos desafios emergentes em segurança cibernética, em especial àqueles desafios intrinsecamente influenciados pelas Vídeo com a apresentação do capítulo: https://youtu.be/uEyOldWYauI

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Section: Inteligência Artificial E Segurançaunclassified

Segurança Cibernética 2030: Experiências, Desafios e Oportunidades

Schaeffer-Filho,

Nobre,

Wickboldt

et al. 2023

Escola De Computação PPGC/UFRGS 50 Anos: Transformando Desafios Em Oportunidades Para O Futuro

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Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs

Lin

Hao

et al. 2023

Proc. ACM Meas. Anal. Comput. Syst.

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The wide adoption of the emerging SmartNIC technology creates new opportunities to offload application-level computation into the networking layer, which frees the burden of host CPUs, leading to performance improvement. Shuffle, the all-to-all data exchange process, is a critical building block for network communication in distributed data-intensive applications and can potentially benefit from SmartNICs. In this paper, we develop SmartShuffle, which accelerates the data-intensive application's shuffle process by offloading various computation tasks into the SmartNIC devices. SmartShuffle supports offloading both low-level network functions, including data partitioning and network transport, and high-level computation tasks, including filtering, aggregation, and sorting. SmartShuffle adopts a coordinated offload architecture to make sender-side and receiver-side SmartNICs jointly contribute to the benefits of shuffle computation offload. SmartShuffle carefully manages the tight and time-varying computation and memory constraints on the device. We propose a liquid offloading approach, which dynamically migrates operators between the host CPU and the SmartNIC at runtime such that resources in both devices are fully utilized. We prototype SmartShuffle on the Stingray SoC SmartNICs and plug it into Spark. Our evaluation shows that SmartShuffle improves host CPU efficiency and I/O efficiency with lower job completion time. SmartShuffle outperforms Spark, and Spark RDMA by up to 40% on TPC-H.

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Jumpgate

Cited by 2 publications

References 30 publications

Segurança Cibernética 2030: Experiências, Desafios e Oportunidades

Segurança Cibernética 2030: Experiências, Desafios e Oportunidades

Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs

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