"What's in a name?" going beyond allocation site names in heap analysis

Kanvar, Vini; Khedker, Uday P.

doi:10.1145/3092255.3092267

Cited by 1 publication

(1 citation statement)

References 26 publications

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“…Reconstructing a class that implements a fraction of the functionality of another class such that it introduces no new errors is an undecidable problem [27] due to presence of pointers [26]. Our approach focuses on identifying disconnected components (direct field and method calls) that can be moved with minimal side effects.…”

Section: A Intuitionmentioning

confidence: 99%

Handling Memory Pointers in Communication between Microservices

Kanvar

Tamilselvam

Komondoor

2022

2022 IEEE International Conference on Web Services (ICWS)

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Enterprises in their journey to the cloud, want to decompose their monolith applications into microservices to maximize cloud benefits. Current research focuses a lot on how to partition the monolith into smaller clusters that perform well across standard metrics like coupling, cohesion, etc. However, there is little research done on taking the partitions, identifying their dependencies between the microservices, exploring ways to further reduce the dependencies, and making appropriate code changes to enable robust communication without modifying the application behaviour.In this work, we discuss the challenges with the conventional techniques of communication using JSON and propose an alternative way of ID-passing via APIs. We also devise an algorithm to reduce the number of APIs. For this, we construct subgraphs of methods and their associated variables in each class and relocate them to their more functionally aligned microservices. Our quantitative and qualitative studies on five public Java applications clearly demonstrate that our refactored microservices using ID have decidedly better time and memory complexities than JSON. Our automation reduces 40-60% of the manual refactoring efforts. 1

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Section: A Intuitionmentioning

confidence: 99%