Power consumed by modern computer systems, particularly servers in data centers has almost reached an unacceptable level. However, their energy consumption is often not justifiable when their utilization is considered; that is, they tend to consume more energy than needed for their computing related jobs. Task scheduling in distributed computing systems (DCSs) can play a crucial role in increas...

This paper presents two techniques for reducing the power consumed by database servers. Both techniques are intended primarily for transactional workloads on servers with memory-resident databases. The first technique is databasemanaged dynamic processor voltage and frequency scaling (DVFS). We show that a DBMS can exploit its knowledge of the workload and performance constraints to obtain powe...

A dynamic energy performance scaling (DEPS) framework had been proposed as a generalization of the dynamic voltage frequency scaling (DVFS). In this paper, we propose a scheme of checkpoint selection for DEPS framework. The checkpoint is a inserted function call in a program for switching the hardware configurations. Our scheme of checkpoint selection judges energy efficiency of a checkpoint se...

The task scheduler of an energy harvesting wireless sensor node (WSN) must adapt the task complexity and maximize the accuracy of the tasks within the constraint of limited energy reserves. Structural Health Monitoring (SHM) represents a great example of such an application comprising of both steady state operations and sporadic externally triggered events. To this end, we propose a task schedu...

Compute clusters are consuming more power at higher densities than ever before. This results in increased thermal dissipation, the need for powerful cooling systems, and ultimately a reduction in system reliability as temperatures increase. Over the past several years, the research community has reacted to this problem by producing software tools such as HotSpot and Mercury to estimate system t...

Most multi-core architectures nowadays support dynamic voltage and frequency scaling (DVFS) to adapt their speed to the system’s load and save energy. Some recent architectures additionally allow cores to operate at boosted speeds exceeding the nominal base frequency but within their thermal design power. In this paper, we propose a general-purpose library that allows selective control of DVFS ...

As a consequence of technology scaling and increasing power consumption of modern high performance designs, various techniques, such as clock gating and Dynamic Voltage and Frequency Scaling (DVFS), have been adapted to address power issues. These techniques are important and desirable to address reliability needs as well as economic issues. From a testing point of view, introduction of power c...

Dynamic voltage and frequency scaling (DVFS) is a widely used method to improve the energy efficiency of CPU. Reducing during memory-intensive workloads can minimize power consumption without affecting performance, thereby improving overall efficiency. A finer-grained DVFS strategy leads better However, due limitation regulators, implementation granularity current strategies 100 μs or more. Thi...

It has been shown that supply voltage changes have negative effect on soft error rate and therefore, in systems in which reliability is an important factor, reconsidering current voltage assignment techniques to make them reliability-aware is an important requirement. In this work we jointly investigate energy-efficiency and reliability issues in modular data centers that exploit Dynamic Voltag...

1Laboratorio de Sistemas Integrados (LSI), Departamento de Ingeniería Electrónica, Universidad Politécnica deMadrid, Madrid, Spain 2CCS Center for Computational Simulation, Universidad Politécnica deMadrid, Madrid, Spain 3DACYA, Universidad Complutense deMadrid, Madrid, Spain 4Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The Unive...