Self-Adaptive Containers: Functionality Extensions and Further Case Study

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Provided by: Imperial College London
Topic: Big Data
Format: PDF
As the number of execution environments and application contexts rises exponentially, ever-changing non-functional requirements can lead to repeated code refactoring. In addition, scaling up software to support large input sizes may require major modification of code. To address these challenges, the authors have previously proposed a framework of self-adaptive containers which can automatically adjust their resource usage to meet service level objectives and dynamically deploy the techniques of out-of-core storage and probabilistic data structures. A prototype with limited functionalities was implemented and applied to explicit state space exploration to prove the viability of their framework.
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