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Software architecture for big data and the cloud First edition. by ScienceDirect (Online service)

Contents: “…Note continued: 15.3.1.Necessity for Fault-Tolerance in Distributed Systems -- 15.4.Taxonomy of Faults -- 15.5.Taxonomy of Fault-Tolerant Scheduling Algorithms -- 15.5.1.Replication -- 15.5.2.Resubmission -- 15.5.3.Checkpointing -- 15.5.4.Provenance -- 15.5.5.Rescue Workflow -- 15.5.6.User-Defined Exception Handling -- 15.5.7.Alternate Task -- 15.5.8.Failure Masking -- 15.5.9.Slack Time -- 15.5.10.Trust-Based Scheduling Algorithms -- 15.6.Modeling of Failures in Workflow Management Systems -- 15.7.Metrics Used to Quantify Fault-Tolerance -- 15.8.Survey of Workflow Management Systems and Frameworks -- 15.8.1.Askalon -- 15.8.2.Pegasus -- 15.8.3.Triana -- 15.8.4.UNICORE 6 -- 15.8.5.Kepler -- 15.8.6.Cloudbus Workflow Management System -- 15.8.7.Traverna -- 15.8.8.The e-Science Central (e-SC) -- 15.8.9.SwinDeW-C -- 15.8.10.Big Data Workflow Frameworks: MapReduce, Hadoop, and Spark -- 15.8.11.Other Workflow Management Systems -- 15.9.Tools and Support Systems.…”
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