Fine-grained power management using process-level profiling

TL;DR: A novel VM power model which is based on a conception named relative performance monitoring counter (PMC) and a novel VM scheduling algorithm which uses the information of relative PMC to compensate the recursive power consumption are proposed.

TL;DR: This paper investigates pattern‐participating methods (ie, those that play a role within the pattern) and compares their energy consumption to the consumption of functionally equivalent alternative (nonpattern) solutions and suggests that for the majority of cases the alternative design excels in terms of energy consumption.

TL;DR: A time energy model (TEM) is proposed, which is a regression model to estimate the application energy consumption on real mobile devices and can help end users rapidly and conveniently predict the applications energy consumption.

TL;DR: This work designs and implements the Bugu service, which aims to analyzing power and event information and providing users with detailed energy behaviors of applications, and analyzed 100 popular applications’ power behavior using Bugu on different platforms, showing several interesting observations.

TL;DR: Is your memory hierarchy stopping your microprocessor from performing at the high level it should be?

TL;DR: Joulemeter builds power models to infer power consumption from resource usage at runtime and identifies the challenges that arise when applying such models for VM power metering, and shows how existing instrumentation in server hardware and hypervisors can be used to build the required power models on real platforms with low error.

TL;DR: This paper describes a technique for a coordinated measurement approach that combines real total power measurement with performance-counter-based, per-unit power estimation and provides power breakdowns for 22 of the major CPUsubunits over minutes of SPEC2000 and desktop workloadexecution.

TL;DR: The Currentcy Model is proposed, a framework that unifies energy accounting over diverse hardware components and enables fair allocation of available energy among applications to extend battery lifetime by limiting the average discharge rate and to share this limited resource among competing task according to user preferences.