Balancing Energy, Redundancy, and Performance in Datacenter Networks

2015 ◽  
Author(s):  
Antonio Cleber de Sousa Araujo ◽  
Leobino N. Sampaio ◽  
Artur Ziviani
Keyword(s):  
Datacenter Networks ◽  
Balancing Energy ◽  
And Performance

scholarly journals Evaluation of the Simultaneous Operation of the Mechanisms for Cross-Border Interchange and Activation of the Regulating Reserves

2021 ◽  
Vol 11 (17) ◽  
pp. 8188
Author(s):  
Marcel Topler ◽  
Boštjan Polajžer
Keyword(s):  
Frequency Control ◽  
Primary Objective ◽  
Load Frequency Control ◽  
Simultaneous Operation ◽  
Dynamic Simulations ◽  
Cross Border ◽  
Power Variation ◽  
Balancing Energy ◽  
And Performance ◽  
The Impact

This article examines the mechanisms for cross-border interchange of the regulating reserves (RRs), i.e., the imbalance-netting process (INP) and the cross-border activation of the RRs (CBRR). Both mechanisms are an additional service of frequency restoration reserves in the power system and connect different control areas (CAs) via virtual tie-lines to release RRs and reduce balancing energy. The primary objective of the INP is to net the demand for RRs between the cooperating CAs with different signs of interchange power variation. In contrast, the primary objective of the CBRR is to activate the RRs in the cooperating CAs with matching signs of interchange power variation. In this way, the ancillary services market and the European balancing system should be improved. However, both the INP and CBRR include a frequency term and thus impact the frequency response of the cooperating CAs. Therefore, the impact of the simultaneous operation of the INP and CBRR on the load-frequency control (LFC) and performance is comprehensively evaluated with dynamic simulations of a three-CA testing system, which no previous studies investigated before. In addition, a function for correction power adjustment is proposed to prevent the undesirable simultaneous activation of the INP and CBRR. In this way, area control error (ACE) and scheduled control power are decreased since undesired correction is prevented. The dynamic simulations confirmed that the simultaneous operation of the INP and CBRR reduced the balancing energy and decreased the unintended exchange of energy. Consequently, the LFC and performance were improved in this way. However, the impact of the INP and CBRR on the frequency quality has no unambiguous conclusions.

New Algorithms for Balancing Energy Consumption and Performance in Computational Clusters

2017 ◽  
Vol 36 (2) ◽  
pp. 307-330
Author(s):  
Xuan Thi Tran ◽  
Tien Van Do ◽  
Binh Thai Vu
Keyword(s):  
Energy Consumption ◽  
Balancing Energy ◽  
And Performance ◽  
New Algorithms

BEEP: Balancing Energy, Redundancy, and Performance in Fat-Tree Data Center Networks

2017 ◽  
Vol 21 (4) ◽  
pp. 44-53 ◽  
Author(s):  
Antonio Cleber de S. Araujo ◽  
Leobino N. Sampaio ◽  
Artur Ziviani
Keyword(s):  
Data Center ◽  
Data Center Networks ◽  
Balancing Energy ◽  
Tree Data ◽  
And Performance

scholarly journals Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms

2016 ◽  
Author(s):  
Juan P. Silva ◽  
Ernesto Dufrechou ◽  
Pabl Ezzatti ◽  
Enrique S. Quintana-Ortí ◽  
Alfredo Remón ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Linear System ◽  
Energy Efficient ◽  
High Performance ◽  
Energy Aware ◽  
Balancing Energy ◽  
Dense Linear System ◽  
And Performance ◽  
Hardware Platforms ◽  
Time And Energy

The high performance computing community has traditionally focused uniquely on the reduction of execution time, though in the last years, the optimization of energy consumption has become a main issue. A reduction of energy usage without a degradation of performance requires the adoption of energy-efficient hardware platforms accompanied by the development of energy-aware algorithms and computational kernels. The solution of linear systems is a key operation for many scientific and engineering problems. Its relevance has motivated an important amount of work, and consequently, it is possible to find high performance solvers for a wide variety of hardware platforms. In this work, we aim to develop a high performance and energy-efficient linear system solver. In particular, we develop two solvers for a low-power CPU-GPU platform, the NVIDIA Jetson TK1. These solvers implement the Gauss-Huard algorithm yielding an efficient usage of the target hardware as well as an efficient memory access. The experimental evaluation shows that the novel proposal reports important savings in both time and energy-consumption when compared with the state-of-the-art solvers of the platform.

scholarly journals Minimizing Flow Completion Times using Adaptive Routing over Inter-Datacenter Wide Area Networks

2018 ◽  
Author(s):  
Mohammad Noormohammadpour ◽  
Cauligi S. Raghavendra
Keyword(s):  
Traffic Engineering ◽  
Wide Area Networks ◽  
Size Distributions ◽  
Bandwidth Utilization ◽  
Flow Properties ◽  
Geographically Dispersed ◽  
Datacenter Networks ◽  
And Performance ◽  
Network Status ◽  
Completion Times

Inter-datacenter networks connect dozens of geographically dispersed datacenters and carry traffic flows with highly variable sizes and different classes. Adaptive flow routing can improve efficiency and performance by assigning paths to new flows according to network status and flow properties. A popular approach widely used for traffic engineering is based on current bandwidth utilization of links. We propose an alternative that reduces bandwidth usage by up to at least 50% and flow completion times by up to at least 40% across various scheduling policies and flow size distributions.

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

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