计算机科学与探索2024，Vol.18Issue(10)：2551-2572,22.DOI:10.3778/j.issn.1673-9418.2312034
分布式服务资源自适应弹性伸缩研究综述
Survey of Adaptive Elastic Scaling Studies on Distributed Service Resources
摘要
Abstract
In distributed service resource environments,a large number of service resources are underutilized or even idle for a long time due to the narrow percentage of peak load.Adaptive elastic scaling of resources can signifi-cantly improve system energy efficiency and reduce operation overhead:on the one hand,service resources can be expanded to cope with high demand during high load;and on the other hand,they can be scaled down to reduce the overhead during low load.However,the actual load is usually highly volatile,and the service resources required to satisfy the quality of service are constantly varying,which poses a great challenge to the adaptive elastic scaling of service resources.Although existing commercial distributed platforms generally have some resource elastic scaling capability,they suffer from limited adaptive ability and poor precision,and there exists a considerable improvement space.In order to promote the research and application development in this field,this paper analyzes the studies on adaptive elastic scaling of service resources in this environment.Firstly,the corresponding research background and main challenges in demand evaluation and resource adjustment are analyzed.Secondly,a categorized survey of domestic and international studies in this field is conducted,by dividing these studies into three categories based on the resource objects they adjust.The similarities and differences of these studies are compared,and their respective characteristics and usefulness are summarized.Finally,these study efforts are summarily analyzed,then a compre-hensive realization is outlined based on the analysis,and besides,the current application status,research challenges and future research trends are discussed.关键词
并行与分布式计算/分布式服务资源/资源管理与分配/自适应弹性伸缩Key words
parallel and distributed computing/distributed service resources/resource management and allocation/adaptive elastic scaling分类
信息技术与安全科学引用本文复制引用
胡程,陈仕鸿..分布式服务资源自适应弹性伸缩研究综述[J].计算机科学与探索,2024,18(10):2551-2572,22.基金项目
国家自然科学基金(62202111) （62202111）
广东省基础与应用基础研究基金(2021A1515110754) （2021A1515110754）
国家留学基金(202307150168).This work was supported by the National Natural Science Foundation of China(62202111),the Basic and Applied Basic Research Foun-dation of Guangdong Province(2021A1515110754),and the State Scholarship Fund of China(202307150168). （202307150168）
