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Energy consumption has attracted a lot of attention in the past few years, because energy reduction causes a significant mitigation of the negative impact on the environment along with an operational cost reduction. Energy-efficient task scheduling is an effective technique to decrease the energy consumption in the Cloud Computing Systems (CCSs). In this paper, the problem of scheduling a set of precedence-constrained...
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...
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...
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...
Increasing energy consumption in server consolidation environments leads to high maintenance costs for data centers. Main memory, no less than processor, is a major energy consumer in this environment. This paper proposes a technique for reducing memory energy consumption using virtual machine scheduling in multicore systems. We devise several heuristic scheduling algorithms by using a memory power...
In modern data centers, energy consumption accounts for a considerably large slice of operational expenses. The state of the art in data center energy optimization is focusing only on job distribution between computing servers based on workload or thermal profiles. This paper underlines the role of communication fabric in data center energy consumption and presents a scheduling approach that combines...
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.
Currently, a large number of cloud computing servers waste a tremendous amount of energy and emit a considerable amount of carbon dioxide. Thus, it is necessary to significantly reduce pollution and substantially lower energy usage. This paper seeks to implement six innovative green task scheduling algorithms that have two main steps: assigning as many tasks as possible to a cloud server with lowest...
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...
With rising energy cost and growing environmental concerns, green computing is receiving more and more attention. Software and system architectures ( in terms of concurrency patterns) play a crucial role in both computing and telecommunication systems, and they have been analyzed for performance, reliability, maintainability, and security. Yet, little work on analysis based on the amount of energy...
Energy consumption is a concern with mobile de-vices nowadays. Network interfaces are among the most power hungry components in these devices. In this paper, we describe the design and implementation of a client-centric protocol for energy efficiency. Inspired by earlier work, our protocol works by exploiting the TCP flow-control mechanism to shape incoming traffic into bursts in order to utilize...
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...
Mobile devices provide computing power for running software applications as well as cell phone functionality. However, they could not host complex software applications, mainly due to their limited resources. This limitation can well be remedied by architectural design. We provide taxonomy with six different architectural patterns; standalone, full offloading, partial offloading, SaaS-based, CaaS-based,...
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,...
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.
The reduction of energy consumption in large-scale datacenters is being accomplished through an extensive use of virtualization, which enables the consolidation of multiple workloads in a smaller number of machines. Nevertheless, virtualization also incurs some additional overheads (e.g. virtual machine creation and migration) that can influence what is the best consolidated configuration, and thus,...
With the growing interest of cloud computing and carbon emission reduction, how to build energy efficient cloud architecture becomes a crisis issue for service providers. In this paper, we propose a power-aware cloud architecture based on DRBL (Diskless Remote Boot in Linux), cpufreqd and xenpm. We also introduce a low-cost smart metering system based on open hardware Arduino board. Composing with...
This paper presents an immune-inspired technique for optimizing a server energy consumption. The proposed technique is similar with an artificial immune system associated to a server, aiming to detect non-optimal server energy consumption states and to take the appropriate actions that would bring the server into an optimal state. The optimization technique has two main stages: an initialization stage...
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