Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

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

Adaptive Cloud Resource Scheduling Model Based on Improved Ant Colony Algorithm

Qingbin Nie1、*, 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
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (3)
    Equations (0)
    References (15)
    Tools
    Paper Information
    Topics
    Figures & Tables(3)
    Load balance comparison

    Fig. 1. Load balance comparison

    Download full size
    Task execution cost comparison

    Fig. 2. Task execution cost comparison

    Download full size
    Task execution time comparison

    Fig. 3. Task execution time comparison

    Download full size
    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 14, 2019

    Accepted: Jul. 11, 2019

    Published Online: Jan. 3, 2020

    The Author Email: Nie Qingbin (3398108124@qq.com)

    DOI:10.3788/LOP57.010603

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology