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Moreover, our infrastructure provides mechanisms to provide a fault tolerant scheduling.
The fault-tolerant schedule contains five checkpoints and ten data slots.
These communication and measurement faults cause state inconsistency which is reduced using a clock and sampling rate frequency drift algorithm and a generated fault-tolerant schedule afterwards.
The second challenge faced by GridTS providing a fault-tolerant scheduling infrastructure is treated by combining three fault tolerance techniques to tolerate crash faults in components of the its infrasctructure: replication, checkpointing and transactions.
Secondly, the infrastructure provides fault-tolerant scheduling by combining a set of traditional fault tolerance techniques to tolerate crash faults in any component of its infrastructure.
Fault-tolerant scheduling is provided by combining different fault tolerance techniques: checkpointing, transactions, and replication.
To resolve the remaining state inconsistency, we generate fault-tolerant schedules using the optimization solver.
To provide this type of scheduling, GridTS had to deal with two challenges: fair and fault-tolerant scheduling.
x...... x [118] Combination of DAG merging techniques x........ x [70] Auto-scaling of resources o x x o..... x [124] Fault-tolerant scheduling.
Fault-tolerant scheduling is an imperative step for large-scale computational Grid systems, as often geographically distributed nodes co-operate to execute a task.
The existing fault-tolerant scheduling algorithms cannot be used for workflow in Cloud systems directly, which have two key features: virtualization and elasticity.
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