scholarly journals A Dynamic Application-Partitioning Algorithm with Improved Offloading Mechanism for Fog Cloud Networks

2019 ◽  
Vol 11 (7) ◽  
pp. 141
Author(s):  
Abro ◽  
Deng ◽  
Memon ◽  
Laghari ◽  
Mohammadani ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Efficient ◽  
Task Assignment ◽  
Heterogeneous Environments ◽  
Minimal Energy ◽  
Test Bed ◽  
Cloud Architecture ◽  
Application Partitioning ◽  
Partitioning Algorithm ◽  
Real Test

This paper aims to propose a new fog cloud architecture that performs a joint energy-efficient task assignment (JEETA). The proposed JEETA architecture utilizes the dynamic application-partitioning algorithm (DAPTS), a novel algorithm that efficiently decides and switches the task to be offloaded or not in heterogeneous environments with minimal energy consumption. The proposed scheme outperforms baseline approaches such as MAUI, Think Air and Clone Cloud in many performance aspects. Results show that for the execution of 1000 Tasks on fog, mobile offloaded nodes, JEETA consumes the leas, i.e., 23% of the total energy whereas other baseline approaches consume in between 50%–100% of the total energy. Results are validated via real test-bed experiments and trice are driven efficient simulations.

scholarly journals Linear Weighted Regression and Energy-Aware Greedy Scheduling for Heterogeneous Big Data

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 554
Author(s):  
Suresh Kallam ◽  
Rizwan Patan ◽  
Tathapudi V. Ramana ◽  
Amir H. Gandomi
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Total Energy ◽  
Optimal Solution ◽  
Data Locality ◽  
Weighted Regression ◽  
Heterogeneous Environments ◽  
Energy Aware ◽  
Total Energy Consumption ◽  
Greedy Scheduling

Data are presently being produced at an increased speed in different formats, which complicates the design, processing, and evaluation of the data. The MapReduce algorithm is a distributed file system that is used for big data parallel processing. Current implementations of MapReduce assist in data locality along with robustness. In this study, a linear weighted regression and energy-aware greedy scheduling (LWR-EGS) method were combined to handle big data. The LWR-EGS method initially selects tasks for an assignment and then selects the best available machine to identify an optimal solution. With this objective, first, the problem was modeled as an integer linear weighted regression program to choose tasks for the assignment. Then, the best available machines were selected to find the optimal solution. In this manner, the optimization of resources is said to have taken place. Then, an energy efficiency-aware greedy scheduling algorithm was presented to select a position for each task to minimize the total energy consumption of the MapReduce job for big data applications in heterogeneous environments without a significant performance loss. To evaluate the performance, the LWR-EGS method was compared with two related approaches via MapReduce. The experimental results showed that the LWR-EGS method effectively reduced the total energy consumption without producing large scheduling overheads. Moreover, the method also reduced the execution time when compared to state-of-the-art methods. The LWR-EGS method reduced the energy consumption, average processing time, and scheduling overhead by 16%, 20%, and 22%, respectively, compared to existing methods.

scholarly journals Assessment of the Validity of Investing in Energy-Efficient Single-Family Construction in Poland - Case Study

2016 ◽  
Vol 62 (4) ◽  
pp. 119-138 ◽  
Author(s):  
K. Tomczak ◽  
O. Kinash
Keyword(s):  
Energy Efficient ◽  
Investment Decisions ◽  
Minimal Energy ◽  
Single Family ◽  
Ahp Method ◽  
Energy Efficient Buildings ◽  
Custom Made ◽  
Polish Law ◽  
Family House

AbstractThe article raised issues related to the design and execution of low-energy objects in Polish conditions. Based on the designed single-family house, adapted to the requirements of the National Fund for Environmental Protection and Water Management (“NF40” standard), the tools to assist investment decisions by investors were shown. An economic analysis and a multi-criteria analysis were performed using AHP method which had provided an answer to the question whether it is worthwhile to bear higher investment costs in order to adjust to the standards of energy-efficient buildings that fulfil a minimal energy consumption's requirements contained in Polish law. In addition, the variant of object that had optimal characteristics due to the different preferences of investors was indicated. This paper includes analysis and observations on the attempts to unify that part of the building sector, which so far is considered to be personalized, and objects in accordance with the corresponding idea are designed as “custom-made”.

scholarly journals WSN and RFID Integration in the IoT scenario: an Advanced Safety System for Industrial Plants

2013 ◽  
Vol 9 (1) ◽  
pp. 104 ◽  
Author(s):  
Matteo Petracca ◽  
Stefano Bocchino ◽  
Andrea Azzarà ◽  
Riccardo Pelliccia ◽  
Marco Ghibaudi ◽  
...  
Keyword(s):  
System Performance ◽  
Location Tracking ◽  
Test Bed ◽  
Network Resources ◽  
Industrial Plants ◽  
Related Data ◽  
Performance Results ◽  
Authorization Control ◽  
Safe Access ◽  
Real Test

The paper proposes and discusses the integration of WSN and RFID technologies in the IoT scenario. The proposed approach is based on the REST paradigm, thanks to which the two technologies can be seamless integrated by representing sensors, actuators and RFID related data as network resources globally addressable through state-of-the-art IoT protocols. The integration approach is detailed for the Smart Factory use case by proposing and developing an advanced IoT-based WSN and RFID integrated solution aiming at improving safety in industrial plants. The developed system can guarantee a safe access to factory dangerous areas in which safety equipments are required. In the paper, the system design is first presented, then, all the developed hardware and software solutions are described before presenting system performance results in a real test bed. System performance are reported in terms of response time and accuracy for authorization control and location tracking applications.

When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning

2018 ◽  
Vol 66 (11) ◽  
pp. 5526-5538 ◽  
Author(s):  
Zhenyu Zhou ◽  
Junhao Feng ◽  
Bo Gu ◽  
Bo Ai ◽  
Shahid Mumtaz ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Route Planning ◽  
Task Assignment ◽  
Mobile Crowd Sensing ◽  
Crowd Sensing ◽  
Mobile Crowd

Sensor Fusion for Intrusion Detection With Sensor Networks

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 275-282 ◽  
Author(s):  
Bence Koszteczky ◽  
Gyula Simon
Keyword(s):  
Sensor Fusion ◽  
Energy Efficient ◽  
Base Station ◽  
Sensor Technology ◽  
Fusion Algorithm ◽  
Distributed Sensor ◽  
Distributed Sensor Network ◽  
Sensor Devices ◽  
Central Base ◽  
Real Test

AbstractA sensor fusion algorithm is proposed, which can be used to fuse measurements from a distributed sensor network, containing inexpensive, easily deployable and energy efficient magnetic sensor devices. The sensor measurements are collected and transferred to a central base station, where the sensor fusion is performed, using the sensor location. The algorithm provides location, direction, and speed information about the detected vehicles. The paper describes the sensor technology and the fusion method, and the performance of the system is illustrated by real test measurements.

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