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• W2115334003 abstract "Security-critical real-time applications such as military aircraft flight control systems have mandatory security requirements in addition to stringent timing constraints. Conventional real-time scheduling algorithms, however, either disregard applications' security needs and thus expose the applications to security threats or run applications at inferior security levels without optimizing security performance. In recognition that many applications running on clusters demand both real-time performance and security, we investigate the problem of scheduling a set of independent real-time tasks with various security requirements. We build a security overhead model that can be used to reasonably measure security overheads incurred by the security-critical tasks. Next, we propose a security-aware real-time heuristic strategy for clusters (SAREC), which integrates security requirements into the scheduling for real-time applications on clusters. Further, to evaluate the performance of SAREC, we incorporate the earliest deadline first (EDF) scheduling policy into SAREC to implement a novel security-aware real-time scheduling algorithm (SAEDF). Experimental results from both real-world traces and a real application show that SAEDF significantly improves security over three existing scheduling algorithms (EDF, least laxity first, and first come first serve) by up to 266.7 percent while achieving high schedulability." @default.
• W2115334003 created "2016-06-24" @default.
• W2115334003 creator A5042766429 @default.
• W2115334003 creator A5074254868 @default.
• W2115334003 date "2006-07-01" @default.
• W2115334003 modified "2023-09-27" @default.
• W2115334003 title "Scheduling security-critical real-time applications on clusters" @default.
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• W2115334003 doi "https://doi.org/10.1109/tc.2006.110" @default.
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