Paper Info
Title
PLASMA: programmable elasticity for stateful cloud computing applications
Abstract
Developers are always on the lookout for simple solutions to manage their applications on cloud platforms. Major cloud providers have already been offering automatic elasticity management solutions (e.g., AWS Lambda, Azure durable function) to users. However, many cloud applications are stateful --- while executing, functions need to share their state with others. Providing elasticity for such stateful functions is much more challenging, as a deployment/elasticity decision for a stateful entity can strongly affect others in ways which are hard to predict without any application knowledge. Existing solutions either only support stateless applications (e.g., AWS Lambda) or only provide limited elasticity management (e.g., Azure durable function) to stateful applications. PLASMA (<u>P</u>rogrammable E<u>la</u>sticity for <u>S</u>tateful Cloud Co<u>m</u>puting <u>A</u>pplications) is a programming framework for elastic stateful cloud applications. It includes (1) an elasticity programming language as a second "level" of programming (complementing the main application programming language) for describing elasticity behavior, and (2) a novel semantics-aware elasticity management runtime that tracks program execution and acts upon application features as suggested by elasticity behavior. We have implemented 10+ applications with PLASMA. Extensive evaluation on Amazon AWS shows that PLASMA significantly improves their efficiency, e.g., achieving same performance as a vanilla setup with 25% fewer resources, or improving performance by 40% compared to the default setup.
Year
DOI
Venue
2020
10.1145/3342195.3387553
EuroSys '20: Fifteenth EuroSys Conference 2020 Heraklion Greece April, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-6882-7
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Bo Sang122.80
Pierre-Louis Roman200.68
Patrick Eugster32644192.90
Hui Lu401.01
Srivatsan Ravi5225.38
Gustavo Petri6448.58