IEEE Transactions on Cloud Computing, Journal Year: 2024, Volume and Issue: 12(4), P. 1145 - 1157
Published: Aug. 26, 2024
Language: Английский
IEEE Transactions on Cloud Computing, Journal Year: 2024, Volume and Issue: 12(4), P. 1145 - 1157
Published: Aug. 26, 2024
Language: Английский
IEEE Transactions on Parallel and Distributed Systems, Journal Year: 2023, Volume and Issue: 34(4), P. 1343 - 1361
Published: Feb. 23, 2023
With the development of cloud computing, multi-cloud systems have become common platforms for hosting and executing workflow applications in recent years. However, complexity scheduling increases exponentially because diversified billing mechanisms, heterogeneous virtual machines, reliability systems. This article focuses on a multi-objective problem (MOWSP-MCS). The makespan, cost, are considered optimization objectives from perspective users. Compared with classical environment, MOWSP-MCS allows users to apply backup technique improve reliability. To solve MOWSP-MCS, this proposes reliability-aware memetic algorithm (RA-MOMA) containing diversification strategy intensification strategy. In strategy, several problem-specific genetic operators introduced construct offspring individuals. four neighborhood designed based critical path resource utilization rate quality individuals archive set. A comprehensive numerical experiment is conducted evaluate effectiveness RA-MOMA. comparisons related algorithms demonstrate superiority RA-MOMA solving MOWSP-MCS.
Language: Английский
Citations
29Transactions on Emerging Telecommunications Technologies, Journal Year: 2023, Volume and Issue: 34(6)
Published: April 8, 2023
Abstract A new technology known as the Internet of Things (IoT) uses several sensor devices and communication protocols. By implementing cutting‐edge modern equipment, people use IoT to make their lives easier. Home automation is one them, it works with actuators sensors. However, increasing number in network could degrade Quality Service (QoS). Therefore, an appropriate framework software hardware can improve Experience (QoE) QoS for all users. One critical measures called Ultra Reliability Low Latency Communication (URLLC). URLLC essential released from third Generation Partnership Project (3GPP) cellular. a systematic comprehensive investigation practical procedures needs be done. This paper comprehensively investigates existing methodologies this subject. All chosen techniques are separated into four categories obtain complete picture topic: structure‐based, diversity‐based, metaheuristic algorithm‐based, channel state information. In paper, we also investigate more benefits drawbacks other when applied network. highlights challenges networks describes future open issues detail provide efficient way researchers field.
Language: Английский
Citations
28Cluster Computing, Journal Year: 2024, Volume and Issue: unknown
Published: June 17, 2024
Language: Английский
Citations
12The Journal of Supercomputing, Journal Year: 2023, Volume and Issue: 79(16), P. 18569 - 18604
Published: May 16, 2023
Language: Английский
Citations
17Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 47 - 68
Published: Jan. 1, 2024
Language: Английский
Citations
6Cluster Computing, Journal Year: 2024, Volume and Issue: 27(8), P. 10265 - 10298
Published: May 8, 2024
Language: Английский
Citations
4Symmetry, Journal Year: 2025, Volume and Issue: 17(2), P. 280 - 280
Published: Feb. 12, 2025
With the increasing volume of scientific computation data and advancement computer performance, is becoming more dependent on powerful computing capabilities cloud computing. On platforms, tasks in workflows are assigned to computational resources executed according specific strategies. Therefore, workflow scheduling has become a key factor affecting efficiency. This paper proposes hybrid algorithm, HICA, address problem symmetric homogeneous environments with optimization goals makespan cost. HICA combines Imperialist Competitive Algorithm (ICA) HEFT integrating into initial population ICA accelerate convergence ICA. Experimental results show that proposed approach outperforms other algorithms real-world applications. Specifically, when scale 100, average improvements cost 133.89 273.33, respectively; 1000, 371.62 9178.98. The for Earth System Model parameter tuning compared scenario without using were improved by 13% 21%, respectively.
Language: Английский
Citations
0Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(9-11)
Published: April 9, 2025
ABSTRACT Rising global dependence on cloud services has become crucial for enterprises, aiming to guarantee continuous data accessibility while pursuing enhanced energy efficiency and minimized carbon emissions from centers. However, the persistent challenge of high‐energy consumption in these facilities necessitates a concentrated approach toward reduction. This paper introduces an innovative multi‐objective scheduling strategy scientific workflows, tailored heterogeneous computing environments. Our method employs hybrid genetic algorithm, incorporating Hill Climbing generate initial population chromosomes. Subsequently, algorithm optimizes task assignments most suitable virtual machines, utilizing meticulously designed fitness function evaluate each chromosome's suitability solving problem. Through extensive experimentation, we demonstrate that our proposed outperforms other techniques terms solution quality, contributing reduced consumption, processing duration, cost. We contend this holds substantial potential mitigating footprint associated with centers, offering sustainable environmentally conscious workflow scheduling.
Language: Английский
Citations
0Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(7)
Published: April 11, 2025
Language: Английский
Citations
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