Skip to content

CNASIM: A Customizable Simulation Library for Cloud-Native Application Performance Modeling

2026 · International Conference on Conceptual Structures · pp. 214-227 · 0 citations · 12 references
Computer Science

TL;DR

Experimental results demonstrate that the proposed CNASIM approach achieves good performance in terms of modeling flexibility, simulation accuracy, and applicability to complex scenarios, making it a practical aid for system designers and researchers to evaluate and optimize cloud-native applications efficiently.

View source

Similar papers

Open access 2026

Cloud-Native Architectures for Scalable Enterprise Applications

The paper addresses the transformation of enterprise application infrastructure out of on-premise legacy resource setting into service-based cloud environments properly configured to scale horizontally, and presents experimental evaluations of the response time, throughput, service resiliency, and infrastructure utiliz...

Kanya Mohammed, Naree Thongchai · 0 citations

Mobile GUI Testing Fragility: A Study on Open-Source Android Applications

A framework that integrates existing tools that individually address the aforementioned needs by blending them in a unified manner is proposed, and preliminary experiments conducted on a software prototype demonstrate the feasibility of the proposed approach.

Elisa Drudi, Giuseppe Di Modica, Luca Foschini et al. · 0 citations
Review Open access Aug 2026

Practical Engineering Approaches to Scalable Cloud Architecture and Computational Resource Optimization

The engineering of scalable cloud systems has matured from empirical practice into a discipline grounded in formal scalability theory, distributed systems research, and production-derived architectural principles. Existing treatments address load scalability, microservices consistency, autoscaling, and production ML re...

Antonov Sergey Viktorovich · 0 citations
Review Open access Jul 2026

Enhancing the Kubernetes Scheduler: A State-of-the-Art Review from Cloud to Edge

A comprehensive review of Kubernetes scheduling strategies published between January 2023 and January 2026 is presented and a multi-dimensional taxonomy is established that categorizes scheduling approaches based on common objectives, modification methods, optimization methodologies, targeted workloads, evaluation meth...

Mohammed Alhakimi, R. Latip · 0 citations
Jul 2026

WASP: A Configurable Framework for Portable Stateful Serverless Applications

This work introduces WASP, a configurable framework that brings stateful serverless execution to the edge-cloud continuum by abandoning monolithic architectures in favor of strictly decoupled, pluggable components, and lets system administrators swap the WASM runtime and the datastore to fit available resources and app...

Matteo Cenzato, Dario d'Abate, Arianna Dragoni et al. · 1 citation
Aug 2026

OMBench: Taming Data Management Requirements in Cloud-Native Applications

This work presents OMBench through a decision-and-evaluation toolkit with rich visualization features so that users can navigate a set of candidate platforms to meet data management requirements and make informed decisions about their guarantees and resource implications.

R. Laigner, Xikun Jiang, Boris Düdder et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.