Skynet: Performance-driven Resource Management for Dynamic Workloads

Sfakianakis, Yannis; Marazakis, Manolis; Bilas, Angelos

doi:10.1109/cloud53861.2021.00069

Cited by 10 publications

(2 citation statements)

References 33 publications

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“…Stratus deploys the three types of nodes, uses VMs to allocate tenant applications, and provides monitoring and partitioning capabilities of the main system resources. As it can be seen in the table, only the testbed used to evaluate Skynet [25] includes the three types of nodes that Stratus deploys. All the approaches support the typical latency-critical (LC) workloads that run in cloud systems (e.g., Tailbench [16]) and follow the client-server model.…”

Section: Related Workmentioning

confidence: 99%

A Modular Approach to Design an Experimental Framework for Resource Management Research

Pons,

Petit,

Pons

et al. 2023

Preprint

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Research on resource management focuses on optimizing system performance and energy efficiency by distributing shared resources like processor cores, caches, and main memory among competing applications. This research spans a wide range of applications, including those from high-performance computing, machine learning, and mobile computing. Existing research frameworks often simplify research by concentrating on specific characteristics, such as the architecture of the computing nodes, resource monitoring, and representative workloads. For instance, this is typically the case with cloud systems, which introduce additional complexity regarding hardware and software requirements. To avoid this complexity during research, experimental frameworks are being developed. Nevertheless, proposed frameworks often fail regarding the types of nodes included, virtualization support, and management of critical shared resources. This paper presents Stratus, an experimental framework that overcomes these limitations. Stratus includes different types of nodes, a comprehensive virtualization stack, and the ability to partition the major shared resources of the system. Even though Stratus was originally conceived to perform cloud research, its modular design allows Stratus to be extended, broadening its research use on different computing domains and platforms, matching the complexity of nowadays cloud environments.

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Section: Related Workmentioning

confidence: 99%

A Modular Approach to Design an Experimental Framework for Resource Management Research

Pons,

Petit,

Pons

et al. 2023

Preprint

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“…Consequently, research works simplify the experimental framework. Unfortunately, existing studies omit important system components [28,29,30,31,32,33] or do not consider virtualization with VMs [34,30,31,33], which results in losses of representativeness.…”

Section: Issues and Particularities Of Public Cloud Systemsmentioning

confidence: 99%

Interference Analysis and Resource Management in Server Processors: from HPC to Cloud Computing

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Finalmente, quiero agradecer a las personas más importantes de mi vida, mi familia. A mis padres, gracias por inculcarme el valor del esfuerzo y enseñarme a sobreponerme a las adversidades. Pero sobretodo, por apoyarme en cada paso que doy y animarme en los momentos más difíciles. Vuestra sonrisa de orgullo es la mejor recompensa. A mis abuelos, por su amor infinito que siempre me da fuerzas. A mis hermanos mayores, con los que puedo contar siempre. A Julio y Miljana, por su apoyo y cariño, y al pequeño Julio que ha llenado la familia de felicidad. A Alfonso, por ser mi fiel compañero y estar siempre a mi lado. Y también a mi novio, Mario, por sacarme una sonrisa cuando más lo necesito. Gracias por motivarme a ser mejor cada día y perseguir mis sueños.

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