arXiv
Open Access
2019
Scheduling in the Presence of Data Intensive Compute Jobs
Amir Behrouzi-Far
Emina Soljanin
Abstrak
We study the performance of non-adaptive scheduling policies in computing systems with multiple servers. Compute jobs are mostly regular, with modest service requirements. However, there are sporadic data intensive jobs, whose expected service time is much higher than that of the regular jobs. Forthis model, we are interested in the effect of scheduling policieson the average time a job spends in the system. To this end, we introduce two performance indicators in a simplified, only-arrival system. We believe that these performance indicators are good predictors of the relative performance of the policies in the queuing system, which is supported by simulations results.
Penulis (2)
A
Amir Behrouzi-Far
E
Emina Soljanin
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- arXiv
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- Open Access ✓