Palette Load Balancing: Locality Hints for Serverless Functions

Abdi, Mania; Ginzburg, Samuel; Lin, Xiayue Charles; Faleiro, Jose M.; Chaudhry, Gohar Irfan; Goiri, Íñigo; Bianchini, Ricardo; Berger, Daniel; Fonseca, Rodrigo

doi:10.1145/3552326.3567496

Cited by 18 publications

(1 citation statement)

References 28 publications

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“…One of the current industrial trends includes applying heuristics and hints to a running system according to one or more locality principles and applying them to improve (in a best-effort fashion) the application performance. 6,7,8,9,10,11,12 These approaches, however, are not geared toward providing guarantees of the satisfaction of data locality constraints.…”

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confidence: 99%

Formally Verifying Function Scheduling Properties in Serverless Applications

Palma,

Giallorenzo,

Mauro

et al. 2023

IT Prof.

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Function as a service (FaaS) is a serverless cloud execution model offering costefficiency, scalability, and simplified development by enabling developers to focus on code and delegate server management and application scaling to the serverless platform. Early FaaS implementations provided no control to users over function placement, but raising data locality-bound scenarios motivated new implementations with user-defined constraints over function allocations, e.g., to keep functions accessing a database close to the latter, with the aim of reducing latency, enhancing security, or complying with regulations. In this article, we show how, by leveraging the Allocation Priority Policies language-used for controlling function scheduling-and state-of-theart planning tools, it is possible to enforce security properties and data-locality constraints, thereby guiding the definition of fine-grained serverless scheduling policies.

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confidence: 99%