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In [6], this analysis had been extended to the heterogeneous workload case.
A task-based parallelism model allows efficient use of the largest supercomputers for problems with a heterogeneous workload over disparate spatial and temporal scales.
A traditional data center has many distinguished features including heterogeneous hardware, heterogeneous workload, focus on average load rate, and consumption of time and human effort for administrative tasks.
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These applications exhibit heterogeneous workloads for investigating optimal monitoring interval of SLA parameters.
Distributing spatially located heterogeneous workloads is an important problem in parallel scientific computing.
The proposed techniques provided a tradeoff mechanism for power and performance when running heterogeneous workloads in data centers.
The model also incorporates normalized power consumption profiles for heterogeneous workloads that have been derived from realistic IT loads.
Executing heterogeneous workloads with different priorities, resource demands and performance objectives is one of the key operations for today's data centers to increase resource as well as energy efficiency.
The ICUs were heterogeneous (severity, mean workload, volume, specialisation, caregiver/bed ratios).
They are multi-tenant frameworks and are designed to manage the execution of a continuous workload of heterogeneous workflows.
Federated clouds can obtain great advantages from virtualization technologies and, in particular, from multiple virtual machine live migration techniques, which allow to flexibly move bulk workload across heterogeneous computing environments with minimal service disruption.
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