CAJ | 학술논문

针对云计算平台多资源分配公平性问题，文中在 DRF 算法基础上，提出了云计算动态资源需求公平分配模型，并提出了基于信誉因子的增强公平性分配算法。算法引入信誉因子，对云中计算节点资源使用情况进行实时评估，对恶意长时间侵占资源行为进行惩罚性分配，刺激节点在任务结束后释放占用资源，确保了平台中其他节点资源配额不受影响。与现有方案相比，基于信誉的增强公平性分配算法在保证分配公平的前提下，增强了对公平性的保障，有效地确保了云计算平台资源调度的公平性、可靠性。
침대운계산평태다자원분배공평성문제，문중재 DRF 산법기출상，제출료운계산동태자원수구공평분배모형，병제출료기우신예인자적증강공평성분배산법。산법인입신예인자，대운중계산절점자원사용정황진행실시평고，대악의장시간침점자원행위진행징벌성분배，자격절점재임무결속후석방점용자원，학보료평태중기타절점자원배액불수영향。여현유방안상비，기우신예적증강공평성분배산법재보증분배공평적전제하，증강료대공평성적보장，유효지학보료운계산평태자원조도적공평성、가고성。
To address the issue of faimess in resource allocation under cloud computing , this paper proposes a dynamic-resource-demand oriented model of fair allocation for the cloud platform based on DRF (Dominant Resource Faimess ) . Then , a credit factor based allocation algorithm of enhanced faimess , named cbDRF , is proposed . A credit factor is introduced to cbDRF to evaluate the resource utilization of the computing nodes on the clud platform . Thus , with the credit factor , the nodes which are maliciously occupying resources for a long time will be imposed with Punitive Allocation . Besides , this mechanism can also encourage the node to release its occupied allocations after its task( Release incentive) to guarantee other nodes' share not to be influenced . Compared to the existing approaches , cbDRF strengthens the protection for faimess under the premise of ensuring fair allocation , which effectively guarantees the faimess and reliablilty for the resource scheduling of the cloud platform .