The Experts below are selected from a list of 81579 Experts worldwide ranked by ideXlab platform
Daniel Hagimont - One of the best experts on this subject based on the ideXlab platform.
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software consolidation as an efficient energy and cost saving solution
Future Generation Computer Systems, 2016Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel HagimontAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. They also support live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12% of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The solution was tested with a cloud hosting JMS messaging and Internet servers. The evaluations were performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40% and the charge for VMs on Amazon EC2 by about 40.5%.
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software consolidation as an efficient energy and cost saving solution for a saas paas cloud model
European Conference on Parallel Processing, 2015Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel Hagimont, Bruno Diot, Nicolas VuillermeAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. Virtualization enables live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12 % of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The evaluation was performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40 % and the charge for VMs on Amazon EC2 by about 40.5 %.
Alain Tchana - One of the best experts on this subject based on the ideXlab platform.
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software consolidation as an efficient energy and cost saving solution
Future Generation Computer Systems, 2016Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel HagimontAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. They also support live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12% of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The solution was tested with a cloud hosting JMS messaging and Internet servers. The evaluations were performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40% and the charge for VMs on Amazon EC2 by about 40.5%.
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software consolidation as an efficient energy and cost saving solution for a saas paas cloud model
European Conference on Parallel Processing, 2015Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel Hagimont, Bruno Diot, Nicolas VuillermeAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. Virtualization enables live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12 % of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The evaluation was performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40 % and the charge for VMs on Amazon EC2 by about 40.5 %.
Thomas D Anthopoulos - One of the best experts on this subject based on the ideXlab platform.
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complementary circuits based on solution processed low voltage organic field effect transistors
Synthetic Metals, 2009Co-Authors: James M Ball, Paul H Wobkenberg, Floris B Kooistra, Jan C Hummelen, Dago M De Leeuw, D D C Bradley, Thomas D AnthopoulosAbstract:The field of organic electronics is advancing quickly towards ultra low-cost, low-end applications and is expected to provide the necessary technology required for flexible/printed electronics. Here we address the need for solution processed low-voltage complementary logic in order to Reduce Power Consumption of organic circuits and hence enable their use in portable, i.e. battery-Powered applications. We demonstrate both p- and n-channel solution processed high performance organic field-effect transistors that operate at voltages below |1.5| V. The reduction in operating voltage is achieved by implementing ultrathin gate dielectrics based on solution processed self-assembled monolayers. This work demonstrates the feasibility of fabricating low-voltage complementary organic circuits by means of solution processing.
Iris R Bahar - One of the best experts on this subject based on the ideXlab platform.
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dynamically reconfiguring processor resources to Reduce Power Consumption in high performance processors
Lecture Notes in Computer Science, 2001Co-Authors: Roberto Maro, Yu Bai, Iris R BaharAbstract:Power dissipation is a major concern not only for portable systems, but also for high-performance systems. In the past, energy Consumption and processor heating was Reduced mainly by focusing efforts on mechanical or circuit design techniques. Now that we are reaching the limits of some of these past techniques, an architectural approach is fundamental to solving Power related problems. In this work, we use a model of the Alpha 21264 to simulate a high-performance, multi-pipelined processor with two integer pipeline clusters and one floating point pipeline. We propose a hardware mechanism to dynamically monitor processor performance and reconfigure the machine on-the-fly such that available resources are more closely matched to the program's requirements. Namely, we propose to save energy in the processor by disabling one of the two integer pipelines and/or the floating point pipe at runtime for selective periods of time during the execution of a program. If these time periods are carefully selected, energy may be saved without negatively impacting overall processor performance. Our initial experiments shows on average total chip energy savings of 12% and as high as 32% for some benchmarks while performance degrades by an average of only 2.5% and at most 4.5%.
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a symbolic method to Reduce Power Consumption of circuits containing false paths
International Conference on Computer Aided Design, 1994Co-Authors: Iris R Bahar, Gary D Hachtel, Enrico Macii, Fabio SomenziAbstract:Power dissipation in technology mapped circuits can be Reduced by performing gate re-sizing. Recently we have proposed a symbolic procedure which exploits the compactness of the ADD data structure to accurately calculate the arrival times at each node of a circuit for any primary input vector. In this paper we extend our timing analysis tool to the symbolic calculation of required times and slacks, and we use this information to identify gates of the circuits that can be re-sized. The nice feature of our approach is that it takes into account the presence of false paths naturally. As shown by the experimental results, circuits re-synthesized with the technique we present in this paper are guaranteed to be at least as fast as the original implementations, but smaller and substantially less Power-consuming.
Noel De Palma - One of the best experts on this subject based on the ideXlab platform.
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software consolidation as an efficient energy and cost saving solution
Future Generation Computer Systems, 2016Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel HagimontAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. They also support live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12% of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The solution was tested with a cloud hosting JMS messaging and Internet servers. The evaluations were performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40% and the charge for VMs on Amazon EC2 by about 40.5%.
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software consolidation as an efficient energy and cost saving solution for a saas paas cloud model
European Conference on Parallel Processing, 2015Co-Authors: Alain Tchana, Noel De Palma, Ibrahim Safieddine, Daniel Hagimont, Bruno Diot, Nicolas VuillermeAbstract:Virtual machines (VM) are used in cloud computing environments to isolate different software. Virtualization enables live migration, and thus dynamic VM consolidation. This possibility can be used to Reduce Power Consumption in the cloud. However, consolidation in cloud environments is limited due to reliance on VMs, mainly due to their memory overhead. For instance, over a 4-month period in a real cloud located in Grenoble (France), we observed that 805 VMs used less than 12 % of the CPU (of the active physical machines). This paper presents a solution introducing dynamic software consolidation. Software consolidation makes it possible to dynamically collocate several software applications on the same VM to Reduce the number of VMs used. This approach can be combined with VM consolidation which collocates multiple VMs on a Reduced number of physical machines. Software consolidation can be used in a private cloud to Reduce Power Consumption, or by a client of a public cloud to Reduce the number of VMs used, thus reducing costs. The evaluation was performed using both the SPECjms2007 benchmark and an enterprise LAMP benchmark on both a VMware private cloud and Amazon EC2 public cloud. The results show that our approach can Reduce the energy consumed in our private cloud by about 40 % and the charge for VMs on Amazon EC2 by about 40.5 %.
