Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm

Qingbin Nie; Feng Pan; Jiacheng Wu; Yaoqin Cao

doi:10.3788/LOP57.010603

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 1 >Page 010603 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 1, 010603 (2020)

Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm

Qingbin Nie^1、*, Feng Pan¹, Jiacheng Wu¹, and Yaoqin Cao²

Author Affiliations

¹Southwest Jiaotong University Hope College, Chengdu, Sichuan 610400, China

²Chongqing Institute of Engineering, Chongqing 400065, China

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DOI: 10.3788/LOP57.010603 Cite this Article Set citation alerts

Qingbin Nie, Feng Pan, Jiacheng Wu, Yaoqin Cao. Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(1): 010603 Copy Citation Text

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Fig. 1. Load balance comparison

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Fig. 2. Task execution cost comparison

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Fig. 3. Task execution time comparison

Qingbin Nie, Feng Pan, Jiacheng Wu, Yaoqin Cao. Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(1): 010603

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