Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

QUELLE – A Framework for Accelerating the Development of Elastic Systems

Type de record:

papersoftware
Créateur:
MolCopTruDus
Éditeur:
VieMasWolKun
Éditeur:
CCSDSpringer
Hôte:avatar
International audience A large number of cloud providers offer diverse types of cloud services for constructing complex ”cloud-native” software. However, there is a lack of supporting tools and mechanisms for accelerating the development of cloud-native software-defined elastic systems (SESs) based on elasticity capabilities of cloud services. In this paper we introduce QUELLE – a framework for evaluating and recommending SES deployment configurations. QUELLE presents models for describing the elasticity capabilities of cloud services and capturing elasticity requirements of SESs. Based on that QUELLE introduces novel functions and algorithms for quantifying the elasticity capabilities of cloud services. QUELLE’s algorithms can recommend SES deployment configurations from cloud services that both provide the required elasticity, and fulfill cost, quality, and resource requirements, and thus can be incorporated into different phases of the development of SESs. We present several experiments based on real-world cloud services for the development of an elastic machine-to-machine data-as-a-service system.

Visit

inria.hal.science

Tags

elasticity quantificationelasticity capabilitysoftware-definedcloud service[INFO]Computer Science [cs]

Licenses

http://creativecommons.org/licenses/by/info:eu-repo/semantics/OpenAccess

Similaires

Leveraging 5G, artificial intelligence and blockchain integration for accelerating digital economic outcomes in Botswana: A strategic framework for leapfrogging developmentAccelerating African neuroscience as an equitable framework for the brain sciencesDevelopment of a Conceptual Framework for Linking mHealth Applications to eRecord Systems in BotswanaZanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog SystemsAccelerating progress towards the sustainable development goals for adolescents in Ghana: a cross-sectional studyA Framework for the Development of a Manufacturing Resources Planning System

Leveraging 5G, artificial intelligence and blockchain integration for accelerating digital economic outcomes in Botswana: A strategic framework for leapfrogging development

This study is concerned with the possible accelerated development of Botswana through the incorporat

Accelerating African neuroscience as an equitable framework for the brain sciences

This comment provides a critical analysis of the current state of neuroscience progress in Africa, o

Development of a Conceptual Framework for Linking mHealth Applications to eRecord Systems in Botswana

Abstract Background: The proliferation of mHealth solutions and eRecord systems is inevi

Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems

Accelerating progress towards the sustainable development goals for adolescents in Ghana: a cross-sectional study

Since the adoption of the sustainable development goals (SDGs) by the United Nations (UN), the searc

A Framework for the Development of a Manufacturing Resources Planning System

Many Small and medium scale enterprises (SMEs), because of the limited scope and size of their opera