Evaluation of Parallel Algorithms of Traffic Volume Statistics per Cell in Cellular Network Based on MapReduce Programming Model

2013 ◽  
Vol 401-403 ◽  
pp. 1859-1863
Author(s):  
Qing Yang ◽  
Jun Liu ◽  
Huan Wang ◽  
Wen Li Zhou ◽  
Hua Yu
Keyword(s):  
Big Data ◽  
Parallel Algorithms ◽  
Network Design ◽  
Time Complexity ◽  
Cellular Network ◽  
Complexity Analysis ◽  
Programming Model ◽  
Resource Optimization ◽  
Network Resource ◽  
Data Network

Understanding traffic per unit time in cell dimension in cellular data network can be of great help for mobile operators to improve the performance of the cellular data network. It is important for network design and resource optimization. In this paper, we describe three methods to count the traffic per unit time per cell. Moreover, we compare the results of the three methods by the deviation distribution of the traffic and time complexity analysis. Our work is distinguished from other related work by using big data which contains around 1.4 billion records and 20 thousands cells. Generally, we expect this paper could deliver important insights into cellar data network resource optimization.

scholarly journals A Heuristic Algorithm for Solving Triangle Packing Problem

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ruimin Wang ◽  
Yuqiang Luo ◽  
Jianqiang Dong ◽  
Shuai Liu ◽  
Xiaozhuo Qi
Keyword(s):  
Approximate Solution ◽  
Time Complexity ◽  
Complexity Analysis ◽  
Packing Problem ◽  
Optimization Method ◽  
Resource Optimization ◽  
Network Resource ◽  
Analogue Experiment ◽  
Processing Network ◽  
Application Prospects

The research on the triangle packing problem has important theoretic significance, which has broad application prospects in material processing, network resource optimization, and so forth. Generally speaking, the orientation of the triangle should be limited in advance, since the triangle packing problem is NP-hard and has continuous properties. For example, the polygon is not allowed to rotate; then, the approximate solution can be obtained by optimization method. This paper studies the triangle packing problem by a new kind of method. Such concepts as angle region, corner-occupying action, corner-occupying strategy, and edge-conjoining strategy are presented in this paper. In addition, an edge-conjoining and corner-occupying algorithm is designed, which is to obtain an approximate solution. It is demonstrated that the proposed algorithm is highly efficient, and by the time complexity analysis and the analogue experiment result is found.

scholarly journals A New Quasi-Human Algorithm for Solving the Packing Problem of Unit Equilateral Triangles

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Ruimin Wang ◽  
Xiaozhuo Qi ◽  
Yuqiang Luo ◽  
Jianqiang Dong
Keyword(s):  
Complexity Analysis ◽  
Packing Problem ◽  
Polynomial Time Algorithm ◽  
Time Algorithm ◽  
Resource Optimization ◽  
Network Resource ◽  
New Concepts ◽  
Theoretical Significance ◽  
Calculation Results ◽  
Equilateral Triangles

The packing problem of unit equilateral triangles not only has the theoretical significance but also offers broad prospects in material processing and network resource optimization. Because this problem is nondeterministic polynomial (NP) hard and has the feature of continuity, it is necessary to limit the placements of unit equilateral triangles before optimizing and obtaining approximate solution (e.g., the unit equilateral triangles are not allowed to be rotated). This paper adopts a new quasi-human strategy to study the packing problem of unit equilateral triangles. Some new concepts are put forward such as side-clinging action, and an approximation algorithm for solving the addressed problem is designed. Time complexity analysis and the calculation results indicate that the proposed method is a polynomial time algorithm, which provides the possibility to solve the packing problem of arbitrary triangles.

Role of Big Data Analytics in Cellular Network Design

2015 ◽  
pp. 110-116
Author(s):  
Pushpa Mannava
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Network Design ◽  
Cellular Network ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Innovative Methods ◽  
Modern Technologies ◽  
Cellular Network Design

Big Data is an arising idea that describes innovative methods and also modern technologies to assess big volume of complicated datasets that are greatly created from numerous sources and with numerous prices. Data mining strategies are offering terrific aid in the location of Big Data analytics, considering that handling Big Data allow challenges for the applications. Big Data analytics is the capability of removing helpful information from such significant datasets. This paper provides an overview of big data analytics.

Embedded medical big data network and nursing intervention of aspiration pneumonia

2021 ◽  
Vol 80 ◽  
pp. 103659
Author(s):  
Meiling Guo ◽  
Chao Bian ◽  
Lingcheng Meng ◽  
Yan Wang
Keyword(s):  
Big Data ◽  
Aspiration Pneumonia ◽  
Nursing Intervention ◽  
Data Network ◽  
Medical Big Data

Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management

2021 ◽  
pp. 0734242X2110039
Author(s):  
Elham Shadkam
Keyword(s):  
Waste Management ◽  
Network Design ◽  
Optimization Algorithm ◽  
Reverse Logistics ◽  
Heuristic Algorithms ◽  
Programming Model ◽  
Fixed Costs ◽  
Logistics System ◽  
Cuckoo Optimization Algorithm ◽  
Proposed Model

Today, reverse logistics (RL) is one of the main activities of supply chain management that covers all physical activities associated with return products (such as collection, recovery, recycling and destruction). In this regard, the designing and proper implementation of RL, in addition to increasing the level of customer satisfaction, reduces inventory and transportation costs. In this paper, in order to minimize the costs associated with fixed costs, material flow costs, and the costs of building potential centres, a complex integer linear programming model for an integrated direct logistics and RL network design is presented. Due to the outbreak of the ongoing global coronavirus pandemic (COVID-19) at the beginning of 2020 and the consequent increase in medical waste, the need for an inverse logistics system to manage waste is strongly felt. Also, due to the worldwide vaccination in the near future, this waste will increase even more and careful management must be done in this regard. For this purpose, the proposed RL model in the field of COVID-19 waste management and especially vaccine waste has been designed. The network consists of three parts – factory, consumers’ and recycling centres – each of which has different sub-parts. Finally, the proposed model is solved using the cuckoo optimization algorithm, which is one of the newest and most powerful meta-heuristic algorithms, and the computational results are presented along with its sensitivity analysis.

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

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