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Cloud computing is now trending and more popular in these days for the computation and adopted by many companies like Google, Amazon, Microsoft etc., As the cloud size increases with increase in number of data center power consumption over a data center increases. As number of request over the data center increase with increase in load and power consumption of the data center. So the requests need...
Cloud computing and Virtualization has become the focus of tremendous amount of research in recent years. The advances in network bandwidth, the need for services that can be accessed anytime from anywhere and the change in ownership models are some of the factors responsible. As cloud services are intended to be ‘always on’, the energy costs to provision services are already significant with increase...
Nowadays, increasing importance has been attached to power management in modern data centers. A lot of solutions have been produced to reduce power consumption without producing an effect on quality of service. One common way is to associate with virtualization technology that has been widely used in data centers. This is due to not only its features of reliability and ease of management,but also...
As the power consumption of a server system becomes a mainstream concern in enterprise environments, understanding the system's power behavior at varying utilization levels provides us a key to select appropriate energy-efficiency optimizations. In this work, we present an in-depth analysis of 177 SPECpower_ssj2008 results published between 2007-2010 to understand the changes of server's power behavior...
Multi-tier data centers have become a norm for hosting modern Internet applications because they provide a flexible, modular, scalable and high performance environment. However, these benefits come at a price of the economic dent incurred in powering and cooling these large hosting centers. Thus, energy efficiency has become a critical consideration in designing Internet data centers. In this paper,...
In today's IT computing era, there is shift to aggregate computing resources into data centers (DC) shared by pool of users. With the increasing popularity of cloud computing, this pool of users are now more global than any-time in the past The resource demand of these users are inadvertently governed by strict “service level agreements”. In this paradigm, data centers' operational energy costs are...
In order to realize digital ecosystems, the total electric power consumption of computers and networks have to be reduced. In distributed systems, clients issue requests to servers and then servers send replies to clients. Here, application processes are composed of a pair of modules which mainly consume computation and communication resources, respectively. Based on the measurement of the power consumption...
A new framework automatically generates full-system multicore powermarks, or synthetic programs with desired power characteristics on multicore server platforms. The framework constructs full-system power models with error bounds on the power estimates and guides the design of energy-efficient and cost-efficient server and data center infrastructures.
Energy efficiency is becoming an increasingly important factor to consider in day-to-day operations, and the Information, Communication and Technology (ICT) arena is no exception. The energy consumption in the ICT sector is increasing at a rate that deems energy consumption a possible limitation to the continuous fast growth of the future Internet. We address this limitation in two ways. (1) We propose...
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...
Cloud computing data centers are becoming increasingly popular for the provisioning of computing resources. The cost and operating expenses of data centers have skyrocketed with the increase in computing capacity. Several governmental, industrial, and academic surveys indicate that the energy utilized by computing and communication units within a data center contributes to a considerable slice of...
Power management is becoming very important in data centers. Cloud computing is also one of the newer promising techniques, that are appealing to many big companies. To apply power management in cloud computing has been proposed and considered as green computing. Cloud computing, due to its dynamic structure and property in online services, differs from current data centers in terms of power management...
Energy efficiency and parallel I/O performance are two primary constraints in high performance computing (HPC). Large scale computing systems consume vast amounts of energy and require scalable I/O performance to meet the needs of a broad spectrum of data intensive scientific applications. However, little research has provided an in-depth understanding of energy efficiency in parallel I/O subsystems...
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...
Energy efficiency of large-scale data centers is becoming a major concern not only for reasons of energy conservation, failures, and cost reduction, but also because such sys tems are soon reaching the limits of power available to them. Like High Performance Computing (HPC) systems, large-scale clu ster-based data centers can consume power in megawatts, and of all the power consumed by such a system,...
With growing cost of electricity, the power management of server clusters has become an important problem. Most existing research, however, either do not apply to virtualized environments or do not focus on power-efficient workload distribution. To fill in this research gap, we propose a workload distribution algorithm for virtualized server clusters to reduce their power consumptions and provide...
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...
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