JOB SCHEDULING AND MONITORING
데이터 변환 작업의 뷰는 사용자 인터페이스에 의해 제시될 수 있다. 후속하여 작업 사이의 데이터 의존성에 기초하여 작업이 선택된 이후에 관련 작업이 자동으로 식별될 수 있다. 실행 상태가 또한 결정되고 제시되어서 예를 들어, 작업의 성공적인 실행 및 실패한 실행이 구분될 수 있다. 또한, 성공적으로 실행하는데 실패한 작업 실행의 선택은 실패한 또는 성공적으로 실행하는데 실패할 것이라고 예측되는 관련 작업 실행의 식별을 트리거할 수 있다. Job execution can be scheduled and monitored. Executi...
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| creator | FLASKO MICHAEL J BACH PAULA M PEACOCK ANDREW J NETZ AMIR CHEUNG CHIU YING GREALISH KEVIN HENINGER MARK W CARLSON SONIA P COURIS CHERYL DELLA LIBERA GIOVANNI M NETTLETON DAVID J STORM CHRISTINA |
| description | 데이터 변환 작업의 뷰는 사용자 인터페이스에 의해 제시될 수 있다. 후속하여 작업 사이의 데이터 의존성에 기초하여 작업이 선택된 이후에 관련 작업이 자동으로 식별될 수 있다. 실행 상태가 또한 결정되고 제시되어서 예를 들어, 작업의 성공적인 실행 및 실패한 실행이 구분될 수 있다. 또한, 성공적으로 실행하는데 실패한 작업 실행의 선택은 실패한 또는 성공적으로 실행하는데 실패할 것이라고 예측되는 관련 작업 실행의 식별을 트리거할 수 있다.
Job execution can be scheduled and monitored. Execution of a job results in generation of one or more data slices, which can be consumed as input by one or more related jobs. Data slices can be presented in an interactive view. Selection of a data slice in the view can trigger automatic identification of related data slices based on dependencies between data slices. Each data slice can also include and be presented with a status indicating the availability of corresponding data, such as pending, ready, or failed. Furthermore, selection of a data slice that failed to generate successfully can trigger identification of related data slices that failed or are predicted to fail to generate successfully. |
| format | Patent |
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Job execution can be scheduled and monitored. Execution of a job results in generation of one or more data slices, which can be consumed as input by one or more related jobs. Data slices can be presented in an interactive view. Selection of a data slice in the view can trigger automatic identification of related data slices based on dependencies between data slices. Each data slice can also include and be presented with a status indicating the availability of corresponding data, such as pending, ready, or failed. Furthermore, selection of a data slice that failed to generate successfully can trigger identification of related data slices that failed or are predicted to fail to generate successfully.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230214&DB=EPODOC&CC=KR&NR=20230022272A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230214&DB=EPODOC&CC=KR&NR=20230022272A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FLASKO MICHAEL J</creatorcontrib><creatorcontrib>BACH PAULA M</creatorcontrib><creatorcontrib>PEACOCK ANDREW J</creatorcontrib><creatorcontrib>NETZ AMIR</creatorcontrib><creatorcontrib>CHEUNG CHIU YING</creatorcontrib><creatorcontrib>GREALISH KEVIN</creatorcontrib><creatorcontrib>HENINGER MARK W</creatorcontrib><creatorcontrib>CARLSON SONIA P</creatorcontrib><creatorcontrib>COURIS CHERYL</creatorcontrib><creatorcontrib>DELLA LIBERA GIOVANNI M</creatorcontrib><creatorcontrib>NETTLETON DAVID J</creatorcontrib><creatorcontrib>STORM CHRISTINA</creatorcontrib><title>JOB SCHEDULING AND MONITORING</title><description>데이터 변환 작업의 뷰는 사용자 인터페이스에 의해 제시될 수 있다. 후속하여 작업 사이의 데이터 의존성에 기초하여 작업이 선택된 이후에 관련 작업이 자동으로 식별될 수 있다. 실행 상태가 또한 결정되고 제시되어서 예를 들어, 작업의 성공적인 실행 및 실패한 실행이 구분될 수 있다. 또한, 성공적으로 실행하는데 실패한 작업 실행의 선택은 실패한 또는 성공적으로 실행하는데 실패할 것이라고 예측되는 관련 작업 실행의 식별을 트리거할 수 있다.
Job execution can be scheduled and monitored. Execution of a job results in generation of one or more data slices, which can be consumed as input by one or more related jobs. Data slices can be presented in an interactive view. Selection of a data slice in the view can trigger automatic identification of related data slices based on dependencies between data slices. Each data slice can also include and be presented with a status indicating the availability of corresponding data, such as pending, ready, or failed. Furthermore, selection of a data slice that failed to generate successfully can trigger identification of related data slices that failed or are predicted to fail to generate successfully.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJD18ndSCHb2cHUJ9fH0c1dw9HNR8PX38wzxDwJyeRhY0xJzilN5oTQ3g7Kba4izh25qQX58anFBYnJqXmpJvHeQkYGRsYGBkZGRuZGjMXGqAAiWIcY</recordid><startdate>20230214</startdate><enddate>20230214</enddate><creator>FLASKO MICHAEL J</creator><creator>BACH PAULA M</creator><creator>PEACOCK ANDREW J</creator><creator>NETZ AMIR</creator><creator>CHEUNG CHIU YING</creator><creator>GREALISH KEVIN</creator><creator>HENINGER MARK W</creator><creator>CARLSON SONIA P</creator><creator>COURIS CHERYL</creator><creator>DELLA LIBERA GIOVANNI M</creator><creator>NETTLETON DAVID J</creator><creator>STORM CHRISTINA</creator><scope>EVB</scope></search><sort><creationdate>20230214</creationdate><title>JOB SCHEDULING AND MONITORING</title><author>FLASKO MICHAEL J ; BACH PAULA M ; PEACOCK ANDREW J ; NETZ AMIR ; CHEUNG CHIU YING ; GREALISH KEVIN ; HENINGER MARK W ; CARLSON SONIA P ; COURIS CHERYL ; DELLA LIBERA GIOVANNI M ; NETTLETON DAVID J ; STORM CHRISTINA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230022272A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>FLASKO MICHAEL J</creatorcontrib><creatorcontrib>BACH PAULA M</creatorcontrib><creatorcontrib>PEACOCK ANDREW J</creatorcontrib><creatorcontrib>NETZ AMIR</creatorcontrib><creatorcontrib>CHEUNG CHIU YING</creatorcontrib><creatorcontrib>GREALISH KEVIN</creatorcontrib><creatorcontrib>HENINGER MARK W</creatorcontrib><creatorcontrib>CARLSON SONIA P</creatorcontrib><creatorcontrib>COURIS CHERYL</creatorcontrib><creatorcontrib>DELLA LIBERA GIOVANNI M</creatorcontrib><creatorcontrib>NETTLETON DAVID J</creatorcontrib><creatorcontrib>STORM CHRISTINA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FLASKO MICHAEL J</au><au>BACH PAULA M</au><au>PEACOCK ANDREW J</au><au>NETZ AMIR</au><au>CHEUNG CHIU YING</au><au>GREALISH KEVIN</au><au>HENINGER MARK W</au><au>CARLSON SONIA P</au><au>COURIS CHERYL</au><au>DELLA LIBERA GIOVANNI M</au><au>NETTLETON DAVID J</au><au>STORM CHRISTINA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>JOB SCHEDULING AND MONITORING</title><date>2023-02-14</date><risdate>2023</risdate><abstract>데이터 변환 작업의 뷰는 사용자 인터페이스에 의해 제시될 수 있다. 후속하여 작업 사이의 데이터 의존성에 기초하여 작업이 선택된 이후에 관련 작업이 자동으로 식별될 수 있다. 실행 상태가 또한 결정되고 제시되어서 예를 들어, 작업의 성공적인 실행 및 실패한 실행이 구분될 수 있다. 또한, 성공적으로 실행하는데 실패한 작업 실행의 선택은 실패한 또는 성공적으로 실행하는데 실패할 것이라고 예측되는 관련 작업 실행의 식별을 트리거할 수 있다.
Job execution can be scheduled and monitored. Execution of a job results in generation of one or more data slices, which can be consumed as input by one or more related jobs. Data slices can be presented in an interactive view. Selection of a data slice in the view can trigger automatic identification of related data slices based on dependencies between data slices. Each data slice can also include and be presented with a status indicating the availability of corresponding data, such as pending, ready, or failed. Furthermore, selection of a data slice that failed to generate successfully can trigger identification of related data slices that failed or are predicted to fail to generate successfully.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | JOB SCHEDULING AND MONITORING |
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