电子技术
電子技術
전자기술
ELECTRONIC TECHNOLOGY
2014年
6期
35-39
,共5页
辛波%郑烇%高正九%王嵩
辛波%鄭烇%高正九%王嵩
신파%정전%고정구%왕숭
云环境%异构资源%资源分配%任务组合
雲環境%異構資源%資源分配%任務組閤
운배경%이구자원%자원분배%임무조합
cloud environment%heterogeneous resource%resource allocation%task combination
随着“云计算”的出现和快速发展,“云”作为一种新型的资源形式被越来越多的用户所使用。云环境中的资源分配问题成为了云计算中不可忽略的问题。在云资源管理平台中,如何既满足用户的任务需求,又节省云资源成本,是云运营商尽快希望解决的问题之一。实际上云用户对云资源的请求是有差异的,而且用户任务的完成通常由多个异构的云资源来实现。文中作者考虑了异构云资源间的差异,提出了一种基于异构资源的资源分配算法。该算法先从任务的全局角度考虑,将用户提交的云任务划成不同的组合,再根据云资源间的差异,为相应的组合分配相应的资源。实验仿真表明,在异构云环境中,该算法能在满足用户需求的前提下,在节省云资源使用上有较好的表现。
隨著“雲計算”的齣現和快速髮展,“雲”作為一種新型的資源形式被越來越多的用戶所使用。雲環境中的資源分配問題成為瞭雲計算中不可忽略的問題。在雲資源管理平檯中,如何既滿足用戶的任務需求,又節省雲資源成本,是雲運營商儘快希望解決的問題之一。實際上雲用戶對雲資源的請求是有差異的,而且用戶任務的完成通常由多箇異構的雲資源來實現。文中作者攷慮瞭異構雲資源間的差異,提齣瞭一種基于異構資源的資源分配算法。該算法先從任務的全跼角度攷慮,將用戶提交的雲任務劃成不同的組閤,再根據雲資源間的差異,為相應的組閤分配相應的資源。實驗倣真錶明,在異構雲環境中,該算法能在滿足用戶需求的前提下,在節省雲資源使用上有較好的錶現。
수착“운계산”적출현화쾌속발전,“운”작위일충신형적자원형식피월래월다적용호소사용。운배경중적자원분배문제성위료운계산중불가홀략적문제。재운자원관리평태중,여하기만족용호적임무수구,우절성운자원성본,시운운영상진쾌희망해결적문제지일。실제상운용호대운자원적청구시유차이적,이차용호임무적완성통상유다개이구적운자원래실현。문중작자고필료이구운자원간적차이,제출료일충기우이구자원적자원분배산법。해산법선종임무적전국각도고필,장용호제교적운임무화성불동적조합,재근거운자원간적차이,위상응적조합분배상응적자원。실험방진표명,재이구운배경중,해산법능재만족용호수구적전제하,재절성운자원사용상유교호적표현。
With the emergence and vigorous development of“cloud computing”, the “cloud” is being used as a new resource by more and more users. The resource allocation problem in cloud environment has become a negligible problem. In the resource management platform in the cloud, the question how to not only meet the needs of the user's task, but also save the cost of cloud resources, is one of the issues for cloud operators to solve as soon as possible. In fact, the tasks submitted to the cloud platform by cloud users have difference, and the completion of the tasks is usually realized with multiple heterogeneous cloud resources. In this paper the authors take the difference among heterogeneous resources into account, and propose the RA-HR algorithm. The algorithm divides cloud tasks submitted by users into different combinations considering from the global view of the tasks, and then according to the difference among the cloud resources, allocates appropriate resources to the appropriate combinations. The simulation results show that the algorithm can offer better performance in saving cloud resource under the premise of meeting user's needs in heterogeneous cloud environment.