POET: a portable approach to minimizing energy under soft real-time constraints
Embedded real-time systems must meet timing constraints while minimizing energy
consumption. To this end, many energy optimizations are introduced for specific platforms or …
consumption. To this end, many energy optimizations are introduced for specific platforms or …
Apparatus and method for optimizing quantifiable behavior in configurable devices and systems
An apparatus and method are provided to perform constrained optimization of a constrained
property of an apparatus, which is complex due to having several components, and these …
property of an apparatus, which is complex due to having several components, and these …
Hybrid genetic reinforcement learning for generating run-time requirement enforcers
When designing embedded systems, engineers have to consider non-functional
requirements, such as real-time or energy consumption constraints. To enforce or counteract …
requirements, such as real-time or energy consumption constraints. To enforce or counteract …
A dynamic optimization model for power and performance management of virtualized clusters
An increasing number of large-scale server clusters are being deployed in data centers for
supporting many different web-based application services in a seamless fashion. In this …
supporting many different web-based application services in a seamless fashion. In this …
Power optimization for dynamic configuration in heterogeneous web server clusters
To reduce the environmental impact, it is essential to make data centers green, by turning off
servers and tuning their speeds for the instantaneous load offered, that is, determining the …
servers and tuning their speeds for the instantaneous load offered, that is, determining the …
{MEANTIME}: achieving both minimal energy and timeliness with approximate computing
Energy efficiency and timeliness (ie, predictable job latency) are two essential–yet opposing–
concerns for embedded systems. Hard timing guarantees require conservative resource …
concerns for embedded systems. Hard timing guarantees require conservative resource …
Accurate mutlicore processor power models for power-aware resource management
Power management is one of the biggest challenges facing current data centers. As
processors consume the dominant amount of power in computer systems, power …
processors consume the dominant amount of power in computer systems, power …
Design, implementation, and evaluation of a QoS-aware real-time embedded database
Quality-aware realtime Embedded DataBase (QeDB) is a database for data-intensive real-
time applications running on embedded devices. Currently, databases for embedded …
time applications running on embedded devices. Currently, databases for embedded …
Energy efficient scheduling of hpc-jobs on virtualize clusters using host and vm dynamic configuration
Energy efficient resource management has become a significant concern in virtualized data
centers to reduce operational costs and extend systems' lifetime. The opportunity of reducing …
centers to reduce operational costs and extend systems' lifetime. The opportunity of reducing …
[PDF][PDF] A dynamic configuration model for power-efficient virtualized server clusters
The rising energy costs for kee** up large-scale server clusters is becoming an
increasingly important concern for many businesses. In this paper, we present a dynamic …
increasingly important concern for many businesses. In this paper, we present a dynamic …