RE-STORM: REAL-TIME ENERGY EFFICIENT DATA ANALYSIS ADAPTING STORM PLATFORM

2016 ◽  
Vol 78 (10) ◽  
Author(s):  
Rizwan Patan ◽  
Rajasekhara Babu M.
Keyword(s):  
Energy Efficiency ◽  
Big Data ◽  
Response Time ◽  
Energy Efficient ◽  
Data Stream ◽  
High Performance ◽  
High Energy ◽  
Streaming Data ◽  
Stream Computing ◽  
High Energy Efficiency

It is necessary to model an energy efficient and stream optimization towards achieve high energy efficiency for Streaming data without degrading response time in big data stream computing. This paper proposes an Energy Efficient Traffic aware resource scheduling and Re-Streaming Stream Structure to replace a default scheduling strategy of storm is entitled as re-storm. The model described in three parts; First, a mathematical relation among energy consumption, low response time and high traffic streams. Second, various approaches provided for reducing an energy without affecting response time and which provides high performance in overall stream computing in big data. Third, re-storm deployed energy efficient traffic aware scheduling on the storm platform. It allocates worker nodes online by using hot-swapping technique with task utilizing by energy consolidation through graph partitioning. Moreover, re-storm is achieved high energy efficiency, low response time in all types of data arriving speeds.it is suitable for allocation of worker nodes in a storm topology. Experiment results have been demonstrated the comparing existing strategies which are dealing with energy issues without affecting or reducing response time for a different data stream speed levels. Finally, it shows that the re-storm platform achieved high energy efficiency and low response time when compared to all existing approaches.

Performance Improvement of Data Analysis of IoT Applications Using Re-Storm in Big Data Stream Computing Platform

2016 ◽  
Vol 22 ◽  
pp. 141-151 ◽  
Author(s):  
Patan Rizwan ◽  
M. Rajasekhara Babu
Keyword(s):  
Energy Efficiency ◽  
Big Data ◽  
Response Time ◽  
Data Stream ◽  
Dynamic Scheduling ◽  
High Energy ◽  
Stream Computing ◽  
Time Data ◽  
Iot Applications ◽  
High Energy Efficiency

Big Data and Internet of Things (IoT) are Two Popular Technical Terms in Current IT Industry. the Analysis of Iot Data Consumes more Energy since it is Huge in Size. this Paper Proposes a Methodology re-Storm that Addresses Energy Issues and Response Time of Iot Applications Data. it Uses Big Data Stream Computing for re-Storm against Existing Method Storm. the Storm Failed to Address Dynamic Scheduling but re-Storm Deals with Energy-Efficient Traffic Aware Resource Scheduling. this Paper Presents a Model that Different Traffic Arriving Rate of Streams re-Storm at Multiple Traffic Levels for High Energy Efficiency, Low Response Time. it Deals at Three Levels, Firstly, a Mathematical Model for High Energy Efficiency, Low Response Time. Secondly, Allocation of Resources Bearing in Mind DVFS (Dynamic Voltage and Frequency Scaling) Methods and Existing Effective Optimal Consolidation Methods. Thirdly, Online Task Allocation Using Hot Swapping Technique, Streaming Graph Optimizing. Finally, the Experimental Results Show that re-Storm has been Improved the Performance 30-40% against Storm for Real Time Data of Iot Applications.

scholarly journals Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments

2015 ◽  
Vol 319 ◽  
pp. 92-112 ◽  
Author(s):  
Dawei Sun ◽  
Guangyan Zhang ◽  
Songlin Yang ◽  
Weimin Zheng ◽  
Samee U. Khan ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Energy Efficient ◽  
Data Stream ◽  
Resource Scheduling ◽  
Stream Computing ◽  
Efficient Resource ◽  
Computing Environments ◽  
Time And Energy

scholarly journals ThunderX2 Performance and Energy-Efficiency for HPC Workloads

Computation ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 20 ◽  
Author(s):  
Enrico Calore ◽  
Alessandro Gabbana ◽  
Sebastiano Fabio Schifano ◽  
Raffaele Tripiccione
Keyword(s):  
Energy Efficiency ◽  
High Performance ◽  
Data Centers ◽  
Parallel Systems ◽  
High Energy ◽  
Building Systems ◽  
Computing Performance ◽  
High Energy Efficiency ◽  
Power And Energy ◽  
Performance Computing

In the last years, the energy efficiency of HPC systems is increasingly becoming of paramount importance for environmental, technical, and economical reasons. Several projects have investigated the use of different processors and accelerators in the quest of building systems able to achieve high energy efficiency levels for data centers and HPC installations. In this context, Arm CPU architecture has received a lot of attention given its wide use in low-power and energy-limited applications, but server grade processors have appeared on the market just recently. In this study, we targeted the Marvell ThunderX2, one of the latest Arm-based processors developed to fit the requirements of high performance computing applications. Our interest is mainly focused on the assessment in the context of large HPC installations, and thus we evaluated both computing performance and energy efficiency, using the ERT benchmark and two HPC production ready applications. We finally compared the results with other processors commonly used in large parallel systems and highlight the characteristics of applications which could benefit from the ThunderX2 architecture, in terms of both computing performance and energy efficiency. Pursuing this aim, we also describe how ERT has been modified and optimized for ThunderX2, and how to monitor power drain while running applications on this processor.

Design Optimization of Energy Efficient Office Buildings in Tunisia

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Pyeongchan Ihm ◽  
Moncef Krarti
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
High Performance ◽  
Energy Use ◽  
Cost Effective ◽  
Energy Performance ◽  
High Energy ◽  
Office Buildings ◽  
Optimization Approach ◽  
Heating And Cooling

Optimal and cost-effective energy efficiency design and operation options are evaluated for office buildings in Tunisia. In the analysis, several design and operation features are considered including orientation, window location and size, high performance glazing types, wall and roof insulation levels, energy efficient lighting systems, daylighting controls, temperature settings, and energy efficient heating and cooling systems. First, the results of the optimization results from a sequential search technique are compared against those obtained by a more time consuming brute-force optimization approach. Then, the optimal design features for a prototypical office building are determined for selected locations in Tunisia. The optimization results indicate that utilizing daylighting controls, energy efficient lighting fixtures, and low-e double glazing, and roof insulation are required energy efficiency measures to design high energy performance office buildings throughout climatic zones in Tunisia. In particular, it is found that implementing these measures can cost-effectively reduce the annual energy use by 50% compared to the current design practices of office buildings in Tunisia.

Developing a Control Strategy for Booster Stations under Uncertain Load

2015 ◽  
Vol 807 ◽  
pp. 241-246 ◽  
Author(s):  
Philipp Pöttgen ◽  
Thorsten Ederer ◽  
Lena C. Altherr ◽  
Peter F. Pelz
Keyword(s):  
Energy Efficiency ◽  
Control Strategy ◽  
Energy Efficient ◽  
High Energy ◽  
Simple Approach ◽  
Volume Flow ◽  
Current Volume ◽  
Flow Through ◽  
High Energy Efficiency ◽  
System Properties

Booster stations can fulfill a varying pressure demand with high energy-efficiency, because individual pumps can be deactivated at smaller loads. Although this is a seemingly simple approach, it is not easy to decide precisely when to activate or deactivate pumps. Contemporary activation controls derive the switching points from the current volume flow through the system. However, it is not measured directly for various reasons. Instead, the controller estimates the flow based on other system properties. This causes further uncertainty for the switching decision. In this paper, we present a method to find a robust, yet energy-efficient activation strategy.

Hybrid MOS/CNTs Materials for Gas Sensing

2006 ◽  
Vol 111 ◽  
pp. 19-24 ◽  
Author(s):  
W.J. Liou ◽  
Hong Ming Lin ◽  
T.Y. Yang ◽  
K.N. Lin
Keyword(s):  
Carbon Nanotubes ◽  
Energy Efficiency ◽  
Ambient Temperature ◽  
Gas Sensors ◽  
Energy Efficient ◽  
Gas Sensing ◽  
High Energy ◽  
Oxide Semiconductors ◽  
High Energy Efficiency ◽  
Lower Temperature

Most of the gases detecting metal oxide semiconductors are operated at temperatures above 250oC. It is not energy efficient for MOS gas sensors to operate at such high temperature. To solve this problem, research and investigations are trying to obtain new MOS sensing materials that can operate at ambient temperature. In this study, gas sensing materials consisting of MOS and carbon nanotubes (CNTs) are developed for detecting gases at lower temperature. The hybrid system, MWCNTs/TiO2, demonstrates the possibility of detecting the gases at ambient temperature with high energy efficiency.

A Cu3P nanowire enabling high-efficiency, reliable, and energy-efficient low-voltage electroporation-inactivation of pathogens in water

2018 ◽  
Vol 6 (39) ◽  
pp. 18813-18820 ◽  
Author(s):  
Zheng-Yang Huo ◽  
Jian-Feng Zhou ◽  
Yutong Wu ◽  
Yin-Hu Wu ◽  
Hai Liu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
High Efficiency ◽  
Low Voltage ◽  
High Energy ◽  
High Energy Efficiency

A Cu3PNW–Cu electrode serves as an efficient and stable electrode for low-voltage electroporation-inactivation of pathogens in water with high energy efficiency.

Reactions in Activated Peroxide Systems and their Influences on Bleaching Performance

2020 ◽  
Vol 17 ◽  
Author(s):  
Xiaoyan Wang ◽  
Jinmei Du ◽  
Changhai Xu
Keyword(s):  
Aqueous Solution ◽  
Hydrogen Peroxide ◽  
Energy Efficiency ◽  
Textile Industry ◽  
High Energy ◽  
Side Reactions ◽  
Competitive Reactions ◽  
High Energy Efficiency ◽  
Hydrolysis Of ◽  
Bleach Activators

Abstract:: Activated peroxide systems are formed by adding so-called bleach activators to aqueous solution of hydrogen peroxide, developed in the seventies of the last century for use in domestic laundry for their high energy efficiency and introduced at the beginning of the 21st century to the textile industry as an approach toward overcoming the extensive energy consumption in bleaching. In activated peroxide systems, bleach activators undergo perhydrolysis to generate more kinetically active peracids that enable bleaching under milder conditions while hydrolysis of bleach activators and decomposition of peracids may occur as side reactions to weaken the bleaching efficiency. This mini-review aims to summarize these competitive reactions in activated peroxide systems and their influence on bleaching performance.

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