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This paper analyses information on the electricity consumed by a site of an experimental Grid infrastructure and its correlations with users' resource reservation requests. The power consumption of all servers of this site was monitored for a period of six months, the data was gathered to enable studies on approaches for reducing the energy footprint of Grids and Clouds.
In order to develop a data center power efficiency index, we built a test bed of a data center and measured power components and environmental variables in some detail, including the power consumption and temperature of each node, rack and air conditioning unit, as well as load on the CPU, Disk I/O and the network. In these measurements we found that there was a significant imbalance of CPU temperatures...
In this paper, we present a power/energy profiling framework for collecting and analyzing energy consumption data in compute clouds. We implement a prototype of our profiling framework and test it in a cloud computing environment. By measuring the power/ energy consumption with various combinations of system configuration and settings, we build knowledge of the extent to which each factor influences...
Virtualization technology enables server and service consolidation to save more power and operational costs of large scale computing systems. However, the consolidation nature of virtualization intensifies the power densities in a rack, thus resulting in higher probability of failures and Service Level Agreements violations under constrained power budget. In this paper, we proposed a power aware resource...
We introduce a high-fidelity simulation model to evaluate the power consumption of computer networks derived from measured data on routers. To this end, we design and use a power consumption profiling system to parameterize the electrical power consumption of network elements in terms of data traffic. A model validation done by comparing simulation outputs for a test case with actual measurements...
In information system, it is critical to reduce the total electrical power consumption. We have discussed a power consumption model for communication-based applications. Then, we have proposed a pair of PCB (power consumption-based) and TRB (transmission rate-based) algorithms to select a server so that the total power consumption of the servers is reduced. In addition, we showed the PCB algorithm...
This paper quantifies the energy consumption in six 10 Gbps and four 1 Gbps interconnects at a fine-grained level, introducing two metrics for calculating the energy efficiency of a network interface from the perspective of network throughput and host CPU usage. It further compares the energy efficiency of multiport 1 Gbps to 10 Gbps interconnects.
Cooling power occupies large portion of power consumption in a Data Center. Improving efficiency of cooling is one of the most efficient ways to reduce power consumption in a Data Center. However it is not obvious how we can find out sufficient but not too much operation of cooling facility. In this paper, we measure temperature of racks, servers and processors and power consumption of IT equipment...
Power consumption has become one of the most important design considerations for modern high density servers. To avoid system failures caused by power capacity overload or overheating, system-level power management is required. This kind of management needs to control power consumption precisely. Conventional solutions to this problem mostly rely on feedback controllers which only concern the power...
This paper proposes a pair of quantitative metrics, namely the idle-to-power ratio (IPR) and the linear deviation ratio (LDR), to be used together for measuring the energy proportionality of computing systems. The metrics are applied to the publicly available SPECPower_ssj2008 benchmark results, yielding a partly grim trend of energy proportionality, which has to be addressed and possibly rectified...
With the increase of high performance computing systems' scale, the power consumption of HPC systems greatly increase, among which the power consumption of massive storage system occupies an important role. Measurements and analyses of massive storage system are significant for reducing the power consumption of storage system. Tianhe-1 comes in at No.5 in Nov. 2009 Top500 list with the highest ranking...
Server consolidation based on virtualization is an important technique for improving power efficiency and resource utilization in cloud infrastructures. However, to ensure satisfactory performance on shared resources under changing application workloads, dynamic management of the resource pool via online adaptation is critical. The inherent tradeoffs between power and performance as well as between...
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