?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Survey+on+Job+and+Task+Scheduling+in+Big+Data&rft.creator=ALEXANDER%2C+Mr.+MALCOM+MARSHALL&rft.subject=Artificial+Intelligence&rft.subject=Dynamical+Systems&rft.description=Bigdata+handles+the+datasets+which+exceeds+the+ability+of+commonly+used+software+tools+for+storing%2C+sharing+and+processing+the+data.+Classification+of+workload+is+a+major+issue+to+the+Big+Data+community+namely+job+type+evolution+and+job+size+evolution.+On+the+basis+of+job+type%2C++job+size+and+disk+performance%2C+clusters+are+been+formed+with+data+node%2C+name+node+and+secondary+name+node.+To+classify+the+workload+and+to+perform+the+job+scheduling%2C+mapreduce+algorithm+is+going+to+be+applied.+Based+on+the+performance+of+individual+machine%2C+workload+has+been+allocated.+Mapreduce+has+two+phases+for+processing+the+data%3A+map+and+reduce+phases.+In+map+phase%2C+the+input+dataset+taken+is+splitted+into+keyvalue+pairs+and+an+intermediate+output+is+obtained+and+in+reduce+phase+that+key+value+pair+undergoes+shuffle+and+sort+operation.+Intermediate+files+are+created+from+map+tasks+are+written+to+local+disk+and+output+files+are+written+to+distributed+file+system+of+Hadoop.+Scheduling+of+different++jobs+to+different+disks+are+identified+after+completing+mapreduce+tasks.+Johnson+algorithm+is+used+to+schedule+the+jobs+and+used+to+find+out+the+optimal+solution+of+different+jobs.+It+schedules+the+jobs+into+different+pools+and+performs+the+scheduling.+The+main+task+to+be+carried+out+is+to+minimize+the+computation+time+for+entire+jobs+and+analyze+the+performance+using+response+time+factors+in+hadoop+distributed+file+system.+Based+on+the+dataset+size+and+number+of+nodes+which+is+formed+in+hadoop+cluster%2C+the+performance+of+individual+jobs+are+identified%0D%0AKeywords+%E2%80%94+%0D%0Ahadoop%3B+mapreduce%3B+johnson+algorithm&rft.date=2014-06-01&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F9814%2F1%2Fbigdata.pdf&rft.identifier=++ALEXANDER%2C+Mr.+MALCOM+MARSHALL++(2014)+A+Survey+on+Job+and+Task+Scheduling+in+Big+Data.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F9814%2F