Titlebook: Online Capacity Provisioning for Energy-Efficient Datacenters; Minghua Chen,Sid Chi-Kin Chau Book 2022 The Editor(s) (if applicable) and T

Allure

Rejuvenate

Modeling and Problem Formulation,oven competitive ratios to solve the datacenter capacity provisioning problem effectively in the subsequent chapters. First, we adopt the models of datacenters from the extant literature [.,.,.,.,.,.,.,.]. Our models can realistically capture several key features of datacenters, including workload,

搬運(yùn)工

Allodynia

說(shuō)笑

紡織品

Conclusion and Extensions,y. In this monograph, we design online dynamic provisioning algorithms with zero or partial future workload information available. We reveal an elegant structure of the off-line dynamic provisioning problem, under the cost model that a running server consumes a fixed amount of energy per unit time.

假裝是我

Preliminaries of Online Algorithms and Competitive Analysis,cisions are determined. In this case, the decision-making processes will require non-trivial techniques and smart strategies to mitigate the adverse effect of incomplete knowledge of the future events.

Fortuitous

放縱

Book 2022 systems in the world and process trillions of megabytes of data every second. Dynamic provisioning algorithms have the potential to be the most viable and convenient of approaches to reducing data center energy consumption by turning off unnecessary servers, but they incur additional costs from bei

過(guò)濾