云計(jì)算環(huán)境下煤礦應(yīng)急管理關(guān)鍵技術(shù)研究.pdf

1、論文題目：云計(jì)算環(huán)境下煤礦應(yīng)急管理關(guān)鍵技術(shù)研究專業(yè)：安全技術(shù)及工程博士生：馬莉（簽名）指導(dǎo)教師：李樹(shù)剛（簽名）摘要隨著煤礦應(yīng)急管理信息化建設(shè)的不斷深入，煤礦應(yīng)急管理信息系統(tǒng)也將隨著云計(jì)算技術(shù)朝智能化、服務(wù)化方向發(fā)展。本文采用云計(jì)算―按需服務(wù)‖的計(jì)算思想和面向服務(wù)的架構(gòu)，以云計(jì)算環(huán)境下的煤礦應(yīng)急管理信息技術(shù)為研究對(duì)象，以云服務(wù)的方式為煤礦用戶提供應(yīng)急信息資源服務(wù)，從煤礦應(yīng)急管理的新模式、云作業(yè)調(diào)度、云存儲(chǔ)副本布局、云服務(wù)語(yǔ)義描述、海量數(shù)據(jù)

2、管理五個(gè)方面來(lái)開(kāi)展研究。主要研究?jī)?nèi)容如下：研究了云計(jì)算環(huán)境下的煤礦應(yīng)急管理新模式。結(jié)合應(yīng)急管理理論、―情景應(yīng)對(duì)‖范式和權(quán)變理論，構(gòu)建煤礦安全事故動(dòng)態(tài)應(yīng)急管理模式；基于面向服務(wù)構(gòu)架和云計(jì)算的思想，提出云計(jì)算環(huán)境下煤礦應(yīng)急管理的新模式——基于SOA的煤礦應(yīng)急云CECloud，并提出基于―情景應(yīng)對(duì)權(quán)變‖模式的煤礦應(yīng)急云運(yùn)作機(jī)制；結(jié)合信息服務(wù)理論，提出煤礦應(yīng)急信息資源云及云服務(wù)的概念。研究了煤礦應(yīng)急云的動(dòng)態(tài)反饋?zhàn)鳂I(yè)調(diào)度算法。針對(duì)現(xiàn)有Hadoop

3、作業(yè)調(diào)度算法在多用戶、異構(gòu)環(huán)境下不具備反饋機(jī)制的問(wèn)題，結(jié)合煤礦應(yīng)急云的用戶作業(yè)特征提出一種云計(jì)算環(huán)境下具備反饋機(jī)制的動(dòng)態(tài)作業(yè)調(diào)度算法(CECloudMMSScheduler)。該算法引入排隊(duì)論模型，采用單隊(duì)列多資源池服務(wù)窗口的設(shè)計(jì)思路，將所有作業(yè)統(tǒng)一提交到一個(gè)支持優(yōu)先級(jí)的排隊(duì)隊(duì)列，作業(yè)分發(fā)控制模塊選擇優(yōu)先級(jí)最高的作業(yè)分發(fā)到空閑的資源池窗口執(zhí)行；煤礦應(yīng)急云通過(guò)自身的心跳機(jī)制將作業(yè)運(yùn)行的初始化時(shí)間、運(yùn)行時(shí)間等信息傳遞給參數(shù)統(tǒng)計(jì)模塊進(jìn)行統(tǒng)計(jì)，

4、將獲得的平均到達(dá)率和平均服務(wù)率這兩個(gè)核心參數(shù)的實(shí)際值傳遞給反饋機(jī)制模塊，根據(jù)調(diào)度算法模型計(jì)算出平均逗留時(shí)間和平均隊(duì)長(zhǎng)的理論值并與實(shí)際值進(jìn)行對(duì)比，當(dāng)差值大于閾值時(shí)對(duì)該調(diào)度算法的核心參數(shù)進(jìn)行適當(dāng)調(diào)節(jié)使差值收斂于閾值，則將具有較大平均逗留時(shí)間和平均隊(duì)長(zhǎng)的作業(yè)調(diào)度到有槽位數(shù)的空閑資源池服務(wù)窗口執(zhí)行。實(shí)驗(yàn)結(jié)果表明，與經(jīng)典算法相比，CECloudMMSScheduler具有較高的調(diào)度效率和負(fù)載平衡能力。研究了煤礦應(yīng)急云存儲(chǔ)低代價(jià)副本布局技術(shù)。提出云

5、計(jì)算環(huán)境下的煤礦應(yīng)急管理數(shù)據(jù)存儲(chǔ)方式及煤礦應(yīng)急管理信息系統(tǒng)應(yīng)用體系，提出基于低訪問(wèn)代價(jià)的煤礦應(yīng)急云存儲(chǔ)副本布局策略，采用TOPSIS分析方法進(jìn)行實(shí)例計(jì)算，將副本分布在煤礦應(yīng)急云平臺(tái)中訪問(wèn)代價(jià)最低的2個(gè)服務(wù)器節(jié)點(diǎn)上，在節(jié)點(diǎn)存儲(chǔ)負(fù)載、節(jié)點(diǎn)網(wǎng)絡(luò)帶寬、節(jié)點(diǎn)響應(yīng)率、節(jié)Subject：StudyonKeyTechniqueofCoalmineEmergencyManagementinCloudComputingSpecialty：SafetyTec

6、hnologyEngineeringName：MaLi（Signature）Instruct：LiShugang（Signature）ABSTRACTWiththedevelopmentofinfmatizationconstructionofcoalmineemergencymanagementtheemergencyinfmationsystemwilltowardintelligentserviceienteddirection.

7、Thepaperadopts―Serviceondem‖computationalthinkingofcloudcomputingserviceientedarchitecturetostudyemergencytechniqueincloudcomputingprovideemergencyinfmationresourceservicewithtypeofcloudservicefcoalmineusers.Fiveaspectso

8、fnewmodecloudjobschedulingcloudstagecopylayoutdeionofcloudservicemassivedataprocessingarestudiedincoalmineemergencymanagement.Themainresearchcontentsareasfollows.Studyoncoalmineemergencynewmodeincloudcomputing.Conbinedwi

9、themergencymanagementthey―scenariorespond‖paradigmcontingencytheythecoalmineaccidentsdynamicemergencymanagementmodeisconstructed.Basedon―Serviceondem‖computationalthinkingofcloudcomputinganewmodeofcoalmineemergencymanage

10、mentisproposedwith―CoalmineEmergencyCloud(CECloud)basedonSOA‖aswellasoperatingmechanismof―scenariorespondcontingency‖mode.Withinfmationservicestheytheconceptofcoalmineemergencyinfmationresourcescloudcloudserviceareputfwa

11、rd.Studyondynamicfeedbackjobschedulingalgithmofcoalmineemergencycloud.AimingatdefectivenessinthefeedbackmechanismofcurrentHadoopschedulingalgithmsinamultiuserheterogeneousenvironmentadynamicjobschedulingalgithmCECloudMMS

12、Schedulerwithfeedbackmechanismisproposed.InthisalgithmakindofQueuesTheymodeldesignofsinglequeuemultipleresourcepoolservicewindowsareadopted.Alljobsaresubmittedtoasinglequeuewhichsupptspriitythenthejobwiththehighestpriity