On the dynamics of valley times and its application to bulk-transfer scheduling

Workforce capacity planning for proactive troubleshooting in the Network Operations Center

“…To define a stability interval, we rely on qualitative analysis and measurements. As for qualitative reasoning, we note that in most enterprise data centers there is some degree of periodicity in the operation of a service [37]. The stability interval serves to filter out instantaneous variations in the metric under study that drive the host position in the ranking up and down continuously.…”

“…Similarly, small periods such as one day will have other limitations, such as too much burstiness. Firstly, one day can be not enough to show period behaviors, for example, weekends tend to be different from working days [37,38]. And even, Fridays can be different given that human activity periods differ.…”

Modeling inter-DC bulk data transfer in optical networks with edge storage

“…The inter-DC network is simplified into a concatenation of N links, as in Fig. 1 [30]. Background traffic f(t) on the links exhibits diurnal patterns, with alternating busy and idle periods and a repeating period of T, as shown in Fig.…”

“…Even though NSPD can be used to model networks with potentially arbitrary number of links, for simplicity reasons, we limit our following discussions to the two links case. The center of busy-hour (μ) on the two links follows a quadrilateral pyramidal distribution (QPD) uniquely determined by the maximum offset interval d, as an alternative to the truncated normal distribution [30] with the same interval d and maximum probability value, as shown in Fig. 6.…”

“…Requests are assumed to arrive uniformly in a day. We also assume that d is smaller than three hours, as the center of busy-hour appears typically only in a window of a few hours [30].…”