Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds

Daniel Temp, Daniel Temp, Igor Capeletti, Ariel Goes de Castro, Paulo Silas Severo de Souza, Arthur Lorenzon, Marcelo Luizelli, Fábio Rossi, Fábio Rossi

2023

Abstract

Composite applications have the versatility of maintaining several functions and services geographically distributed but being part of the same application. This particular software architecture fits in very easily with the model of distributed regions present in most cloud players. In this way, the search for leasing applications at the lowest cost becomes a reality, given that the application services can be in different players at a lower cost, as long as the performance metrics of the application as a whole are met. Performing provisioning decisions considering the allocation cost of different providers and the latency requirements of applications is not trivial, as these requirements are often conflicting, and finding good trade-offs involves the analysis of a large-scale combinatorial problem. Accordingly, this paper presents Clover, a placement algorithm that employs score-based heuristic procedures to find the best provisioning plan for hosting composite applications in geographically distributed cloud environments. Simulated experiments using real latency traces from Amazon Web Services indicate that Clover can achieve near-optimal results, reducing latency issues and allocation cost by up to 74.47% and 21.2%, respectively, compared to baseline strategies.

Paper Citation

in Harvard Style

Temp D., Capeletti I., Goes de Castro A., Silas Severo de Souza P., Lorenzon A., Luizelli M. and Rossi F. (2023). Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-650-7, SciTePress, pages 297-305. DOI: 10.5220/0011995600003488

in Bibtex Style

@conference{closer23,
author={Daniel Temp and Igor Capeletti and Ariel Goes de Castro and Paulo Silas Severo de Souza and Arthur Lorenzon and Marcelo Luizelli and Fábio Rossi},
title={Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2023},
pages={297-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011995600003488},
isbn={978-989-758-650-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Latency-Aware Cost-Efficient Provisioning of Composite Applications in Multi-Provider Clouds
SN - 978-989-758-650-7
AU - Temp D.
AU - Capeletti I.
AU - Goes de Castro A.
AU - Silas Severo de Souza P.
AU - Lorenzon A.
AU - Luizelli M.
AU - Rossi F.
PY - 2023
SP - 297
EP - 305
DO - 10.5220/0011995600003488
PB - SciTePress