Pipsqueak: Lean Lambdas with Large Libraries

Oakes, Edward; Yang, Leon; Houck, Kevin; Harter, Tyler; Arpaci-Dusseau, Andrea C.; Arpaci-Dusseau, Remzi H.

doi:10.1109/icdcsw.2017.32

Cited by 47 publications

(20 citation statements)

References 5 publications

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“…Kratzke and Quint proposed ppbench to analyze the effects of decisions taken in the design phase, on the overall performance level of the microservice system. Oakes et al proposed pipsqueak to manage small‐scale microservice applications with several dependencies. Some other research tools are as follows.…”

Section: Research Tools Testbed Applications and Language Support Fmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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Microservice architecture style has been gaining wide impetus in the software engineering industry. Researchers and practitioners have adopted the microservices concepts into several application domains such as the internet of things, cloud computing, service computing, and healthcare. Applications developed in alignment with the microservices principles require an underlying platform with management capabilities to coordinate the different microservice units and ensure that the application functionalities are delivered to the user. A multitude of approaches has been proposed for the various tasks in microservices-based systems. However, since the field is relatively young, there is a need to organize the different research works. In this study, we present a comprehensive review of the research approaches directed toward microservice architectures and propose a multilevel taxonomy to categorize the existing research. The study also discusses the different distributed computing paradigms employing microservices and identifies the open research challenges in the domain.

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Section: Research Tools Testbed Applications and Language Support Fmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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“…Once the event passes validation, the platform the event is queued to be processed. A worker fetches the request, allocates the appropriate container, copies over 24 In typical serverless cloud offerings, the only resource configuration customers are allowed to configure is the size of main memory allocated to a function. The system will allocate other computational resources (for example, CPU) in proportion to the main memory size.…”

Section: Architecturementioning

confidence: 99%

The rise of serverless computing

et al. 2019

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The server is dead, long live the server. BY PAUL CASTRO, VATCHE ISHAKIAN, VINOD MUTHUSAMY, AND ALEKSANDER SLOMINSKI key insights ˽ Serverless computing takes the original promises of cloud computing and delivers true pay only for resources used with almost infinite scalability while hiding the details of how servers are used and maintained. ˽ Serverless computing is a new cloud computing paradigm with enormous economic growth potential. ˽ Serverless computing allows the developer to focus on developing business logic and gives the cloud provider additional control over optimizing resources. ˽ There are many technical challenges and opportunities for research.

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“…Furthermore, it is unclear how SEUSS performs when dealing with more complex functions as the work describes only the evaluation of the NOOP function. SOCK proposes to cache application loaders with preimported packages and clone them to avoid runtime startup [18,19]. However, SOCK service implementation is languagespecific, and it does not deal with other application aspects that influence the start-up time, for instance, I/O heavy initialization.…”

Section: Related Workmentioning

confidence: 99%