典型文献
                GCSS:a global collaborative scheduling strategy for wide-area high-performance computing
            文献摘要:
                    Wide-area high-performance computing is widely used for large-scale parallel computing applications owing to its high computing and storage resources.However,the geogra-phical distribution of computing and storage resources makes efficient task distribution and data placement more challenging.To achieve a higher system performance,this study proposes a two-level global collaborative scheduling strategy for wide-area high-performance computing environments.The collaborative scheduling strategy integrates lightweight solution selection,redundant data placement and task stealing mechanisms,optimizing task distribution and data placement to achieve efficient computing in wide-area environments.The experi-mental results indicate that compared with the state-of-the-art collaborative scheduling algorithm HPS+,the proposed scheduling strategy reduces the makespan by 23.24%,improves computing and storage resource utilization by 8.28%and 21.73%respectively,and achieves similar global data migration costs.
                文献关键词:
                    
                中图分类号:
                    作者姓名:
                    
                        Yao SONG;Limin XIAO;Liang WANG;Guangjun QIN;Bing WEI;Baicheng YAN;Chenhao ZHANG
                    
                作者机构:
                    State Key Laboratory of Software Development Environment,Beihang University,Beijing 100191,China;School of Computer Science and Engineering,Beihang University,Beijing 100191,China;Smart City College,Beijing Union University,Beijing 100101,China
                文献出处:
                    
                引用格式:
                    
                        [1]Yao SONG;Limin XIAO;Liang WANG;Guangjun QIN;Bing WEI;Baicheng YAN;Chenhao ZHANG-.GCSS:a global collaborative scheduling strategy for wide-area high-performance computing)[J].计算机科学前沿,2022(05):1-15
                    
                A类:
                GCSS,geogra,phical,stealing,HPS+
                B类:
                    global,collaborative,scheduling,strategy,area,performance,computing,Wide,widely,used,large,scale,parallel,applications,owing,its,storage,resources,However,distribution,efficient,task,data,placement,more,challenging,To,higher,system,this,study,proposes,two,level,environments,integrates,lightweight,solution,selection,redundant,mechanisms,optimizing,experi,mental,results,indicate,that,compared,state,art,algorithm,proposed,reduces,makespan,by,improves,utilization,respectively,achieves,similar,migration,costs
                AB值:
                    0.457128
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