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Cryptographic services are deployed to satisfy security requirements on confidentiality of messages, task replication is used to enhance system reliability, and dynamic voltage and frequency scaling is used for energy efficiency of tasks.
The key components of Maestro are (i) a task scheduling mechanism that employs controlled task replication in addition to task reallocation for robustness and (ii) Dedup for task deduplication among concurrent pervasive workflows.
Important concerns are workload sharing, which attempts to take advantage of access to multiple computers to complete jobs faster; task migration, which supports workload sharing by efficiently distributing jobs among machines; and automatic task replication, which occurs at different sites for greater reliability.
Important systems concerns unique to the distributed case are workload sharing, which attempts to take advantage of access to multiple computers to complete jobs faster; task migration, which supports workload sharing by efficiently moving jobs among machines; and automatic task replication at different sites for greater reliability.
Task replication also helps guarantee fault tolerance against volunteers becoming unreachable or going offline.
Increasing task replication does not improve the system's performance with a smaller number of nodes.
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However, the complexity of computational models can make the task of replication all but impossible.
In order to accomplish this task, DNA replication is initiated at distinct sites in the genome as cells enter the S phase [ 1].
An examination of those tasks with replications suggests potentially significant differences in reliability (Supplemental Table S2).
The few tasks with replications do suggest that some tasks have rather low reliabilities (Supplemental Table S2).
Our approach uses a combination of techniques from asynchronous load balancing (viz. work stealing, dynamic task counters), data replication, and exact-matching filters to achieve homology detection at scale.
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