Оптимизация энергопотребления и качества предоставления сервисов в контейнерных облачных средах (Андрей Черных, ISPRASOPEN-2018) — различия между версиями

Container technology guarantees efficient interaction with hardware through system calls and isolation of tasks execution. The portability and ease of deployment enable containers to execute a variety of jobs. Several techniques have been used to address the problem of job allocation on containers. In this paper, a set of allocation strategies is proposed to distribute the workload to multiple OS containers that are running on several servers. 

We address two objective scheduling problem: minimizing energy and a number of SLA violations. We propose seventy-two strategies and analyze their performance by comprehensive simulation. We demonstrate that our proposed techniques outperform previous works in terms of both the energy savings and QoS.
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[[Категория:ISPRASOPEN-2018]]
[[Категория:Алгоритмы]]
[[Категория:Виртуализация]]
[[Категория:Draft]]