Power modes can be used to save energy in electronic devices but a low power level typically degrades performance. This trade-off is addressed in the so-called EP-queue model, which is a queue depth dependent M/GI/1 queue augmented with power-down and power-up phases of operation. The ability to change service times by power settings allows us to leverage a Markov Decision Process (MDP), which approach we illustrate using a simple fully solar-powered case study with finite states representing levels of battery charge and solar intensity.

The storage industry has seen incredible growth in data storage needs by both consumers and enterprises. Long-term technology trends mean that the data deluge will continue well into the future. These trends include the big-data trend (driven by data mining analytics, high-bandwidth needs, and large content repositories), server virtualization, cloud storage, and Flash. We will cover how Flash and storage class memories (SCM) interact with some of these major trends from a performance perspective.

A major component of a parallel machine is its interconnection network (IN), which provides concurrent communication between the processing elements. It is common to use a multistage interconnection network (MIN) that is constructed using crossbar switches and introduces contention not only for destination addresses but also for internal links. Both types of contention are increased when nonlocal communication across a MIN becomes concentrated on a certain destination address, the hot-spot . This paper considers analytical models of asynchronous, circuit-switched INs in which partial paths are held during path building, beginning with a single crossbar and extending recursively to MINs. Since a path must be held between source and destination processors before data can be transmitted, switching networks are passive resources and queuing networks that include them do not therefore have product-form solutions. Using decomposition techniques, the flow-equivalent server (FES) that represents a bank of devices transmitting through a switching network is determined, under mild approximating assumptions. In the case of a full crossbar, the FES can be solved directly and the result can be applied recursively to model the MIN. Two cases are considered: one in which there is uniform routing and the other where there is a hot-spot at one of the output pins. Validation with respect to simulation for MINs with up to six stages (64-way switching) indicated a high degree of accuracy in the models.