@inproceedings{771d7573b98c42d18a74a3e991df40ea,
title = "Optimizing Cloud Computing Task Schedules Through Advanced Intelligent Optimization Methods",
abstract = "The number of Distributed Green Cloud Datacenters (DGCDs) is globally increasing. Such DGCDs deploy different types of renewable sources to generate clean energy and save money. They are located in different regions depending on the availability of renewable energy sources, costs of bandwidth and grid electricity prices. This paper focuses on applications within them, which are sensitive to delay and looks into a way to schedule different applications with respect to time constraint. The paper uses the Firefly algorithm, bat algorithm and simulated annealing-bat algorithms as optimization techniques to minimize total operational cost of such DGCDs. These algorithms have been compared through data-driven experiments carried out in this study. Of particular note is the Firefly algorithm's superior performance when compared with others.",
keywords = "Bat algorithms, Firefly, Minimizing operational cost, Optimizing task scheduling, Renewable energy, Simulated annealing",
author = "Ammari, {Ahmed Chiheb} and {Al Hmouz}, Rami and Lazhar Khriji and Zhou, {Meng Chu}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International IoT, Electronics and Mechatronics Conference, IEMTRONICS 2024 ; Conference date: 03-04-2024 Through 05-04-2024",
year = "2025",
doi = "10.1007/978-981-97-4784-9_32",
language = "English (US)",
isbn = "9789819747832",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "443--456",
editor = "Bradford, {Phillip G.} and Gadsden, {S. Andrew} and Koul, {Shiban K.} and Ghatak, {Kamakhya Prasad}",
booktitle = "Proceedings of IEMTRONICS 2024 - International IoT, Electronics and Mechatronics Conference",
address = "Germany",
}