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L.", "lastName": "Herman" }, { "creatorType": "author", "firstName": "C. J.", "lastName": "Kenna" }, { "creatorType": "author", "firstName": "M. S.", "lastName": "Mollison" }, { "creatorType": "author", "firstName": "J. H.", "lastName": "Anderson" }, { "creatorType": "author", "firstName": "D. M.", "lastName": "Johnson" } ], "abstractNote": "Mixed-criticality scheduling algorithms, which attempt to reclaim system capacity lost to worst-case execution time pessimism, seem to hold great promise for multi core real-time systems, where such loss is particularly severe. However, the unique nature of these algorithms gives rise to a number of major challenges for the would-be implementer. This paper describes the first implementation of a mixed-criticality scheduling framework on a multi core system. We experimentally evaluate design trade offs that arise when seeking to isolate tasks of different criticalities and to maintain overheads commensurate with a standard RTOS. We also evaluate a key property needed for such a system to be practical: that the system be robust to breaches of the optimistic execution-time assumptions used in mixed-criticality analysis.", "proceedingsTitle": "2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium", "conferenceName": "2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium", "publisher": "", "place": "", "date": "April 2012", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "197-208", "series": "", "seriesNumber": "", "DOI": "10.1109/RTAS.2012.24", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Containers", "type": 1 }, { "tag": "Multicore processing", "type": 1 }, { "tag": "Processor scheduling", "type": 1 }, { "tag": "RTOS support", "type": 1 }, { "tag": "Real time systems", "type": 1 }, { "tag": "Robustness", "type": 1 }, { "tag": "Scheduling", "type": 1 }, { "tag": "Synchronization", "type": 1 }, { "tag": "design trade off evaluation", "type": 1 }, { "tag": "lost system capacity reclaimation", "type": 1 }, { "tag": "mixed-criticality", "type": 1 }, { "tag": "mixed-criticality scheduling algorithm", "type": 1 }, { "tag": "multicore mixed-criticality systems", "type": 1 }, { "tag": "multicore real-time system", "type": 1 }, { "tag": "multiprocessing systems", "type": 1 }, { "tag": "operating systems (computers)", "type": 1 }, { "tag": "optimistic execution-time assumption", "type": 1 }, { "tag": "processor scheduling", "type": 1 }, { "tag": "scheduling", "type": 1 }, { "tag": "task isolation", "type": 1 }, { "tag": "worst-case execution time pessimism", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2019-01-04T17:48:57Z", "dateModified": "2019-01-04T17:48:57Z" } }, { "key": "S8FA5MKP", "version": 17, "library": { "type": "group", "id": 321659, "name": "Mixed Criticality", "links": { "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/321659/items/S8FA5MKP", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality/items/S8FA5MKP", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/321659/items/4WSJ9EHQ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 32828, "username": "indrusiak", "name": "Leandro Soares Indrusiak", "links": { "alternate": { "href": "https://www.zotero.org/indrusiak", "type": "text/html" } } } }, "data": { "key": "S8FA5MKP", "version": 17, "parentItem": "4WSJ9EHQ", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Abstract Record", "accessDate": "2019-01-04T17:48:56Z", "url": "https://ieeexplore.ieee.org/document/5578010", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "5578010.html", "md5": null, "mtime": null, "tags": [], "relations": {}, "dateAdded": "2019-01-04T17:48:56Z", "dateModified": "2019-01-04T17:48:56Z" } }, { "key": "27QB2FE3", "version": 17, "library": { "type": "group", "id": 321659, "name": "Mixed Criticality", "links": { "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/321659/items/27QB2FE3", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality/items/27QB2FE3", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/321659/items/4WSJ9EHQ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 32828, "username": "indrusiak", "name": "Leandro Soares Indrusiak", "links": { "alternate": { "href": "https://www.zotero.org/indrusiak", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "27QB2FE3", "version": 17, "parentItem": "4WSJ9EHQ", "itemType": "attachment", "linkMode": "imported_url", "title": "IEEE Xplore Full Text PDF", "accessDate": "2019-01-04T17:48:52Z", "url": "https://ieeexplore.ieee.org/ielx5/5575291/5577816/05578010.pdf?tp=&arnumber=5578010&isnumber=5577816", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Mollison et al. - 2010 - Mixed-Criticality Real-Time Scheduling for Multico.pdf", "md5": null, "mtime": null, "tags": [], "relations": {}, "dateAdded": "2019-01-04T17:48:52Z", "dateModified": "2019-01-04T17:48:52Z" } }, { "key": "4WSJ9EHQ", "version": 17, "library": { "type": "group", "id": 321659, "name": "Mixed Criticality", "links": { "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/321659/items/4WSJ9EHQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality/items/4WSJ9EHQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 32828, "username": "indrusiak", "name": "Leandro Soares Indrusiak", "links": { "alternate": { "href": "https://www.zotero.org/indrusiak", "type": "text/html" } } }, "creatorSummary": "Mollison et al.", "parsedDate": "2010-06", "numChildren": 2 }, "data": { "key": "4WSJ9EHQ", "version": 17, "itemType": "conferencePaper", "title": "Mixed-Criticality Real-Time Scheduling for Multicore Systems", "creators": [ { "creatorType": "author", "firstName": "M. S.", "lastName": "Mollison" }, { "creatorType": "author", "firstName": "J. P.", "lastName": "Erickson" }, { "creatorType": "author", "firstName": "J. H.", "lastName": "Anderson" }, { "creatorType": "author", "firstName": "S. K.", "lastName": "Baruah" }, { "creatorType": "author", "firstName": "J. A.", "lastName": "Scoredos" } ], "abstractNote": "Current hard real-time scheduling and analysis techniques are unable to efficiently utilize the computational bandwidth provided by multicore platforms. This is due to the large gap between worst-case execution time predictions used in schedulability analysis and actual execution times seen in practice. In this paper, we view this gap as \"slack” that can be accounted for during schedulability analysis and reclaimed for less critical work. We use this technique to develop an architecture for scheduling mixed criticality real-time workloads on multiprocessor platforms. Our architecture provides temporal isolation among tasks of different criticalities while allowing slack to be redistributed across criticality levels.", "proceedingsTitle": "2010 10th IEEE International Conference on Computer and Information Technology", "conferenceName": "2010 10th IEEE International Conference on Computer and Information Technology", "publisher": "", "place": "", "date": "June 2010", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "1864-1871", "series": "", "seriesNumber": "", "DOI": "10.1109/CIT.2010.320", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Containers", "type": 1 }, { "tag": "Multicore processing", "type": 1 }, { "tag": "Processor scheduling", "type": 1 }, { "tag": "Real time systems", "type": 1 }, { "tag": "Schedules", "type": 1 }, { "tag": "Scheduling", "type": 1 }, { "tag": "mixed criticality", "type": 1 }, { "tag": "mixed-criticality real-time scheduling", "type": 1 }, { "tag": "multicore real-time scheduling", "type": 1 }, { "tag": "multicore systems", "type": 1 }, { "tag": "multiprocessing systems", "type": 1 }, { "tag": "parallel architectures", "type": 1 }, { "tag": "processor scheduling", "type": 1 }, { "tag": "schedulability analysis", "type": 1 }, { "tag": "worst-case execution time predictions", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2019-01-04T17:48:49Z", "dateModified": "2019-01-04T17:48:49Z" } }, { "key": "CUZPKKHN", "version": 16, "library": { "type": "group", "id": 321659, "name": "Mixed Criticality", "links": { "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/321659/items/CUZPKKHN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality/items/CUZPKKHN", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/321659/items/NPN5XR4N", "type": "application/json" } }, "meta": { "createdByUser": { "id": 32828, "username": "indrusiak", "name": "Leandro Soares Indrusiak", "links": { "alternate": { "href": "https://www.zotero.org/indrusiak", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "CUZPKKHN", "version": 16, "parentItem": "NPN5XR4N", "itemType": "attachment", "linkMode": "imported_url", "title": "PubMed Central Full Text PDF", "accessDate": "2017-01-20T13:34:33Z", "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038654/pdf/sensors-16-01376.pdf", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Jin et al. - 2016 - Mixed Criticality Scheduling for Industrial Wirele.pdf", "md5": null, "mtime": null, "tags": [], "relations": {}, "dateAdded": "2017-01-20T13:34:33Z", "dateModified": "2017-01-20T13:34:34Z" } }, { "key": "NPN5XR4N", "version": 16, "library": { "type": "group", "id": 321659, "name": "Mixed Criticality", "links": { "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/321659/items/NPN5XR4N", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mixed_criticality/items/NPN5XR4N", "type": "text/html" } }, "meta": { "createdByUser": { "id": 32828, "username": "indrusiak", "name": "Leandro Soares Indrusiak", "links": { "alternate": { "href": "https://www.zotero.org/indrusiak", "type": "text/html" } } }, "creatorSummary": "Jin et al.", "parsedDate": "2016-08-29", "numChildren": 2 }, "data": { "key": "NPN5XR4N", "version": 16, "itemType": "journalArticle", "title": "Mixed Criticality Scheduling for Industrial Wireless Sensor Networks", "creators": [ { "creatorType": "author", "firstName": "Xi", "lastName": "Jin" }, { "creatorType": "author", "firstName": "Changqing", "lastName": "Xia" }, { "creatorType": "author", "firstName": "Huiting", "lastName": "Xu" }, { "creatorType": "author", "firstName": "Jintao", "lastName": "Wang" }, { "creatorType": "author", "firstName": "Peng", "lastName": "Zeng" } ], "abstractNote": "Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs. Mixed criticality requirements exist in many advanced applications in which different data flows have different levels of importance (or criticality). In this paper, first, we propose a scheduling algorithm, which guarantees the real-time performance and reliability requirements of data flows with different levels of criticality. The algorithm supports centralized optimization and adaptive adjustment. It is able to improve both the scheduling performance and flexibility. Then, we provide the schedulability test through rigorous theoretical analysis. 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