Serverless Computation with OpenLambda

By Scott Hendrickson, Stephen Sturdevant, T. Harter, V. Venkataramani, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau. USENIX Workshop on Hot Topics in Cloud Computing, 2016

417 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b877cbbfaf99d98218a7c6ebcab76743632611b5

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Citations in the corpus

The rise of serverless computing (2019, background): “While there are many immediate innovation needs for serverless [4, 19, 24], there are significant challenges that need to be addressed to realize full potential to serverless computing.”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “are characterized as Infrastructure, Platform, or Software asa-Service (IaaS, PaaS, and SaaS, respectively) [47], with further variations such as Function-as-a-Service (also dubbed “Serverless Computing” [48]).”
SAND: Towards High-Performance Serverless Computing (2018, background): “Hendrickson et al. [24] proposed OpenLambda after identifying problems in AWS Lambda [1], including long function startup latency and little locality consideration.”
Serverless Computing: Design, Implementation, and Performance (2017, background): “A common pattern in serverless platform implementations is pausing containers when idle to prevent resource consumption, and then unpausing them before execution resumes [10], [32].”
SOCK: Rapid Task Provisioning with Serverless-Optimized Containers (2018, methodology): “We integrate SOCK with the OpenLambda [20] serverless platform, replacing Docker as the primary sandboxing mechanism.”
Occupy the cloud: distributed computing for the 99% (2017, background): “, OpenLambda [16], OpenWhisk [30]) have developed infrastructure to run event-driven, stateless functions as microservices.”
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, unknown): “Thames and Schaefer [28] Field Kehoe et al. [112] Process Control Givehchi et al. [113], Gold-schmidt et al. [25] Enterprise Management and Colombo et al. [29], de Souza et al. [114], Chofreh et al. [115], Xu [23] most common services are characterized as Infrastructure, Platform, or Software as-a-S”
Computation Offloading Toward Edge Computing (2019, methodology): “Other platforms include Google Cloud Functions [145], Microsoft Azure Functions [146], IBM Cloud Functions [147], and the open-source OpenLambda [148].”
Serverless Computing: Current Trends and Open Problems (2017, background): “In particular, they force application developers to carefully think about the cost of their code when modularizing their applications, rather than latency, scalability, and elasticity, which is where signiﬁcant development effort has traditionally been spent.”
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (2020, background): “There are strategies to reduce the time taken by each cold start, such as keeping pre-allocated VMs or containers, instantiated virtual network interfaces [32], or pre-loaded runtimes that can be specialized on-demand [18].”
FaasCache: keeping serverless computing alive with greedy-dual caching (2021, methodology): “Functions as a Service (FaaS) can also be realized on private clouds and dedicated clusters using frameworks such as OpenWhisk [9], OpenFaas [14], OpenLambda [34], etc.”
Next generation cloud computing: New trends and research directions (2017, background): “25 The open source project OpenLambda aims to achieve serverless computing [62].”
Peeking Behind the Curtains of Serverless Platforms (2018, result): “[18] measured request latency and found it had higher latency than AWS Elastic Beanstalk (a platform-as-a-service system).”