CAJ | 학술논문

随着高速网络的发展，多站点的资源选择和任务调度在云平台环境下受到越来越多的关注。多站点的资源选择和调度可以显著减少有限的通信需求中应用的平均执行时间，尤其是在数字取证的云平台中。文章提出了一种新的多站点同步迭代应用程序的基于聚类的云平台资源选择（CGRS）算法。通过分析和实验结果验证了该方法在聚类计算中能有效降低计算资源占用，有效降低计算时间，在处理云数据的过程中能发挥较大的优势。充分证明了资源选择算法的有效性和正确性。
수착고속망락적발전，다참점적자원선택화임무조도재운평태배경하수도월래월다적관주。다참점적자원선택화조도가이현저감소유한적통신수구중응용적평균집행시간，우기시재수자취증적운평태중。문장제출료일충신적다참점동보질대응용정서적기우취류적운평태자원선택（CGRS）산법。통과분석화실험결과험증료해방법재취류계산중능유효강저계산자원점용，유효강저계산시간，재처리운수거적과정중능발휘교대적우세。충분증명료자원선택산법적유효성화정학성。
With the development of high-speed networks, multi-site resource selection and task scheduling in the cloud platform environment are more and more considered. Multi-site resource selection and scheduling can signiifcantly reduce the average execution time of huge communication needs in the limited application, especially in the digital forensics cloud platform. Therefore, a new algorithms of clustering resource selection (CGRS) for multi-site simultaneous iterative application based on cloud platform are proposed. The analysis and experimental results show that the method can effectively reduce the computing cluster computing resource consumption and reduce computing time in dealing with the process of cloud data.