research-article

Elasticity debt: a debt-aware approach to reason about elasticity decisions in the cloud

Authors:

Carlos Mera-Gómez,

Rajkumar Buyya,

Escuela Superior PolitécnicaAuthors Info & Claims

UCC '16: Proceedings of the 9th International Conference on Utility and Cloud Computing

Pages 79 - 88

https://doi.org/10.1145/2996890.2996904

Published: 06 December 2016 Publication History

Abstract

Cloud elasticity provides the underlying primitives to dynamically acquire and release shared computational resources on demand. Therefore, elasticity constantly takes adaptation decisions to adjust the resource provisioning constrained by quality of service and operating costs minimization. However, dynamic trade-offs for resource provisioning rarely consider the value of the adaptation decisions under uncertainty. Part of the problem stems from the lack of a utility-driven model to reason about it. In this paper, we introduce the concept of elasticity debt as an approach to reason about elasticity decisions from a utility-driven perspective, where we apply the technical debt metaphor in the context of cloud elasticity. Moreover, we extended CloudSim as a proof of concept to show that a debt-aware elasticity decision-making can achieve a higher utility over time. We provide an elasticity conceptual model that links the key factors to consider when adapting resource provisioning and the potential debts incurred by these decisions. We propose a new perspective to value elasticity decisions in the uncertain cloud environment by introducing a technical debt perspective.

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Cited By

Skourletopoulos GMavromoustakis CMastorakis GBatalla JSong HSahalos JPallis E(2019)Elasticity Debt Analytics Exploitation for Green Mobile Cloud Computing: An Equilibrium ModelIEEE Transactions on Green Communications and Networking10.1109/TGCN.2018.28900343:1(122-131)Online publication date: Mar-2019
https://doi.org/10.1109/TGCN.2018.2890034
Kumar SBahsoon RChen TBuyya R(2019)Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud2019 IEEE International Conference on Web Services (ICWS)10.1109/ICWS.2019.00030(121-125)Online publication date: Jul-2019
https://doi.org/10.1109/ICWS.2019.00030
Tsolkas DCharismiadis S(2019)Managing Computational Elasticity for 5G NetworksWiley 5G Ref10.1002/9781119471509.w5GRef109(1-18)Online publication date: 29-Dec-2019
https://doi.org/10.1002/9781119471509.w5GRef109
Show More Cited By

Index Terms

Elasticity debt: a debt-aware approach to reason about elasticity decisions in the cloud

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cover image ACM Other conferences

UCC '16: Proceedings of the 9th International Conference on Utility and Cloud Computing

December 2016

549 pages

ISBN:9781450346160

DOI:10.1145/2996890

General Chairs:
Changjun Jiang
Tongji University, China
,
Omer Rana
Cardiff University, UK
,
Nick Antonopoulos
University of Derby, UK

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 December 2016

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UCC '16

UCC '16: 9th International Conference on Utility and Cloud Computing

December 6 - 9, 2016

Shanghai, China

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Cited By

Skourletopoulos GMavromoustakis CMastorakis GBatalla JSong HSahalos JPallis E(2019)Elasticity Debt Analytics Exploitation for Green Mobile Cloud Computing: An Equilibrium ModelIEEE Transactions on Green Communications and Networking10.1109/TGCN.2018.28900343:1(122-131)Online publication date: Mar-2019
https://doi.org/10.1109/TGCN.2018.2890034
Kumar SBahsoon RChen TBuyya R(2019)Identifying and Estimating Technical Debt for Service Composition in SaaS Cloud2019 IEEE International Conference on Web Services (ICWS)10.1109/ICWS.2019.00030(121-125)Online publication date: Jul-2019
https://doi.org/10.1109/ICWS.2019.00030
Tsolkas DCharismiadis S(2019)Managing Computational Elasticity for 5G NetworksWiley 5G Ref10.1002/9781119471509.w5GRef109(1-18)Online publication date: 29-Dec-2019
https://doi.org/10.1002/9781119471509.w5GRef109
Mera-Gomez CRamirez FBahsoon RBuyya R(2018)A Multi-Agent Elasticity Management Based on Multi-Tenant Debt Exchanges2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)10.1109/SASO.2018.00014(30-39)Online publication date: Sep-2018
https://doi.org/10.1109/SASO.2018.00014
Hiba SBelguidoum M(2017)Toward a meta-model for elasticity management in cloud applications2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)10.1109/CloudTech.2017.8284721(1-6)Online publication date: Oct-2017
https://doi.org/10.1109/CloudTech.2017.8284721
Mera-Gómez CRamírez FBahsoon RBuyya R(2017)A Debt-Aware Learning Approach for Resource Adaptations in Cloud Elasticity ManagementService-Oriented Computing10.1007/978-3-319-69035-3_26(367-382)Online publication date: 18-Oct-2017
https://doi.org/10.1007/978-3-319-69035-3_26

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