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GreeDi: An energy efficient routing algorithm for big data on cloud

T. Baker, B. Al-Dawsari, H. Tawfik, D. Reid, Y. Ngoko
2015 Ad hoc networks  
The main contribution of this paper is GreeDi, a network-based routing algorithm to find the most energy efficient path to the cloud data centre for processing and storing big data.  ...  Transferring big data volume among the aforementioned parties requires a high bandwidth connection, which consumes larger amounts of energy than just processing and storing big data on cloud data centres  ...  GreeDi acts as an intermediary bridge for directing the users requests to the green data centres based primarily on using the most energy efficient route to achieve the full green cloud computing network  ... 
doi:10.1016/j.adhoc.2015.06.008 fatcat:lz7ebmhzufbwxn5cltppfolyrm

WSN Routing Protocol Using a Multiobjective Greedy Approach

Seyed Reza Nabavi, Nafiseh Osati Eraghi, Javad Akbari Torkestani
2021 Wireless Communications and Mobile Computing  
Routing information from the sensor node to sink, so that node energy is consumed uniformly and network life is not reduced, is one of the most important challenges in wireless sensor networks.  ...  In this paper, the object is designed to find the optimal path in WSN based on the multiobjective greedy approach to the near optimal path.  ...  They introduce the complete cloud computing facility scheme based on big data, which present high utilization solutions for extensive data storage, processing, and examination.  ... 
doi:10.1155/2021/6664669 doaj:4b685bcab84e4adb810f2c93876c41ca fatcat:qprlgvlpjfdg5f6ewvujknsflu

Special issue on big data inspired data sensing, processing and networking technologies

Jia Hu, Kun Yang, Chirag Warty, Ke Xu
2015 Ad hoc networks  
Akyildiz, Editor-in-Chief of the Elsevier Ad Hoc Networks for approving this special issue and for his help along the process of its preparation.  ...  In the paper entitled GreeDi: An Energy Efficient Routing Algorithm for Big Data on Cloud, Baker et al. propose a network-based routing algorithm to find the most energy efficient path to the cloud data  ...  and trust, and energy-efficient routing.  ... 
doi:10.1016/j.adhoc.2015.07.014 fatcat:ludyhjccijanzm2bbimug3lxve

Secured Big Data Analytics for Decision-Oriented Medical System Using Internet of Things

Amjad Rehman, Khalid Haseeb, Tanzila Saba, Jaime Lloret, Usman Tariq
2021 Electronics  
Therefore, this paper presents a model for the Secured Big Data analytics using Edge–Cloud architecture (SBD-EC), which aims to provide distributed and timely computation of a decision-oriented medical  ...  The medical devices are attached to patients' bodies and connected with a cloud computing system for obtaining and analyzing healthcare data.  ...  In [27] , the authors proposed an Access Control Policy Algorithm for increasing data accessibility among healthcare providers.  ... 
doi:10.3390/electronics10111273 fatcat:3cpqurtelrf2bd67fef7hxqeiq

Constrained Cuckoo Search Optimization Based Protocol for Routing in Cloud Network

J. Ramkumar, R. Vadivel, B. Narasimhan
2021 International Journal of Computer Networks And Applications  
Cloud Computing (CC) is the process of providing on-demand data to the user via the internet. In CC, users don't need to manage data storage and computational power actively.  ...  CCSOP appears to outperform current cloud network routing protocols in terms of energy consumption.  ...  The previous routing decision is used to reduce the delay. "Network-Based Routing (NBS)" [32] is proposed as an energy-efficient routing protocol to transmit big data in a cloud environment.  ... 
doi:10.22247/ijcna/2021/210727 fatcat:kp3i2xiy2fa3xmtdaegoekmtvi

Lucid Firefly Based Routing Protocol (LFRP) for Accessing Big Data in Cloud

S. A. Gunasekaran, M. Senthilkumar
2021 International Journal of Computer Networks And Applications  
Accessing big data in cloud is a challenging task because more stable route is necessary for the access of big data.  ...  The simulation results make an indication that the proposed routing protocol LFRP has consumed less amount of energy i.e., 3.95J in accessing the big data than other routing protocols which makes an indication  ...  "GreeDi" [22] is proposed to identify the minimum energy consumption route to the cloud data centre for storing and retrieving big data.  ... 
doi:10.22247/ijcna/2021/209190 fatcat:oiqukc35u5fq7k5r4zhqoz3j74

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks [article]

Sanaa Hamid Mohamed, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
2019 arXiv   pre-print
Moreover, we provide a brief review of data centers topologies, routing protocols, and traffic characteristics, and emphasize the implications of big data on such cloud data centers and their supporting  ...  This survey article reviews the challenges associated with deploying and optimizing big data applications and machine learning algorithms in cloud data centers and networks.  ...  All data are provided in full in the results section of this paper.  ... 
arXiv:1910.00731v1 fatcat:kvi3br4iwzg3bi7fifpgyly7m4

IEEE Access Special Section Editorial: Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things

Lei Shu, Vincenzo Piuri, Chunsheng Zhu, Xuebin Chen, Mithun Mukherjee
2020 IEEE Access  
Based on the cross-layer optimization model, an energy-efficient ring cross-layer optimization algorithm is proposed and a new routing algorithm, called Leach-Cross-Layer Optimization (CLO), is also proposed  ...  In the article ''An effective sensor cloud control scheme based on a two-stage game approach,'' by Kim, the author proposed an efficient interactive Sensor-Cloud (SC) control scheme to provide on-demand  ... 
doi:10.1109/access.2020.3037614 fatcat:h27mydy5anggroyhsf5wipre6m

GreenDCN: A General Framework for Achieving Energy Efficiency in Data Center Networks

Lin Wang, Fa Zhang, Jordi Arjona Aroca, Athanasios V. Vasilakos, Kai Zheng, Chenying Hou, Dan Li, Zhiyong Liu
2014 IEEE Journal on Selected Areas in Communications  
Existing work on energy-efficient data center networking primarily focuses on traffic engineering, which is usually adapted from traditional networks.  ...  The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers.  ...  explored how to combine VM placement and routing for data center traffic engineering, and provided an efficient on-line algorithm for it.  ... 
doi:10.1109/jsac.2014.140102 fatcat:uy5d57h3b5blrbvyecfhaq4ceq

Fusion algorithms and high-performance applications for vehicular cloud computing

James J. Park
2018 Journal of Supercomputing  
[23] proposed TSDEGA (time synchronization and enhanced greedy algorithm based on D(v)), a routing algorithm suitable for structural health monitoring.  ...  The efficiency of large data transfers from remote cloud platforms is one of the critical issues.  ... 
doi:10.1007/s11227-018-2270-4 fatcat:376alezwerhh7muvxqvhlg4op4

Joint virtual machine assignment and traffic engineering for green data center networks

Lin Wang, Fa Zhang, Athanasios V. Vasilakos, Chenying Hou, Zhiyong Liu
2014 Performance Evaluation Review  
The popularization of cloud computing brings emergency concern to the energy consumption in big data centers.  ...  Under this framework, we then devise two efficient algorithms, TE VMA and TER, for assigning virtual machines and routing traffic flows respectively.  ...  Consequently, achieving energy efficiency in such data centers becomes an important issue.  ... 
doi:10.1145/2567529.2567560 fatcat:idezjyxp5vb33niipymiy63sdq

DDR-ESC: A distributed and data reliability model for mobile edge-based sensor-cloud

Khalid Haseeb, Ikram Ud Din, Ahmad Almogren, Zahoor Jan, Naveed Abbas, Muhammad Adnan
2020 IEEE Access  
Such an algorithm routed the data on an updated and fault-tolerant links, which results in reducing the data latency and attains better network performance.  ...  This improvement is due to the construction of more robust and energy-efficient routing paths based on the Floyd algorithm.  ... 
doi:10.1109/access.2020.3030192 fatcat:xkvuam6dirdjjhcatwffhrc3ty

Virtual Machine Allocation Policy in Cloud Computing Environment using CloudSim

Taskeen Zaidi, Rampratap Rampratap
2018 International Journal of Electrical and Computer Engineering (IJECE)  
In the present work, the cloud servers are arranged through step network and a UML model for a minimization of energy consumption by processor, dynamic random access memory, hard disk, electrical components  ...  Cloud computing has been widely accepted by the researchers for the web applications.  ...  ACKNOWLEDGEMENTS Our thanks are due to University Grants Commission, New Delhi India for the financial support.  ... 
doi:10.11591/ijece.v8i1.pp344-354 fatcat:iqqu7fo5pjhd7i7cgxqsol6ua4

Distributionin of Data Handling in Cloud Asset

2020 International Journal of Engineering and Advanced Technology  
In Cloud computing, task scheduling is one of the technique of specifying and assigning job to assets that finish the job.  ...  It may be virtual computing elements like threads & processors or data flows, which is planned on hardware resources like processors. The planning operation is performed by a scheduler.  ...  algorithm to solve the issue of big data processing in cloud setting.  ... 
doi:10.35940/ijeat.c6031.029320 fatcat:5mx7tzbi6vcfnheqsqdbfvlyga

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

Zhi-Hui Zhan, Xiao-Fang Liu, Yue-Jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Yun Li
2015 ACM Computing Surveys  
At the dawn of Industry 4.0, cloud computing scheduling for cyber-physical integration with the presence of big data is also discussed.  ...  Because cloud provides a finite pool of virtualized on-demand resources, optimally scheduling them has become an essential and rewarding topic, where a trend of using Evolutionary Computation (EC) algorithms  ...  valuable input on data center operations.  ... 
doi:10.1145/2788397 fatcat:n7bpc276jjgsjnqmiukox7nrqy
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