scholarly journals OFFLOADING LTE DATA TRAFFIC WITH NAMED-DATA NETWORKING INTEGRATION

2018 ◽  
Vol 54 (3A) ◽  
pp. 1
Author(s):  
Ong Mau Dung
Keyword(s):  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Single Server ◽  
Data Traffic ◽  
Named Data Networking ◽  
Huge Number ◽  
Caching Scheme ◽  
Real Trace ◽  
Data Networking

Nowadays, mobile Internet becomes increasingly popular and the number of mobile users is growing exponentially. With a traditional clients-server connection, servers are usually in overload state by a huge number of users accessing the service at the same time. Moreover, in a century of “green” Internet technology, it should be more effective in content distribution for a huge number of users. Named-Data Networking (NDN) had been proposed as the promising solution for above problem, which is a content name-oriented approach to disseminate content to edge gateways/routers. In NDN, popular contents are cached at routers for a certain time, and the previously queried one can be reused for multiple times to save bandwidth. In this paper, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN. By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile stations access to a single server, where content names and content sizes are obtained from real trace of Internet traffic. The obtained results show that Evolved Packet Core (EPC) caching scheme can helps to further increases the quality of service as well as offloads server traffic significantly.

scholarly journals OFFLOADING LTE DATA TRAFFIC WITH NAMED-DATA NETWORKING INTEGRATION

2018 ◽  
Vol 54 (3A) ◽  
pp. 12
Author(s):  
Ong Mau Dung
Keyword(s):  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Single Server ◽  
Data Traffic ◽  
Named Data Networking ◽  
Huge Number ◽  
Caching Scheme ◽  
Real Trace ◽  
Data Networking

Nowadays, mobile Internet becomes increasingly popular and the number of mobile users is growing exponentially. With a traditional clients-server connection, servers are usually in overload state by a huge number of users accessing the service at the same time. Moreover, in a century of “green” Internet technology, it should be more effective in content distribution for a huge number of users. Named-Data Networking (NDN) had been proposed as the promising solution for above problem, which is a content name-oriented approach to disseminate content to edge gateways/routers. In NDN, popular contents are cached at routers for a certain time, and the previously queried one can be reused for multiple times to save bandwidth. In this paper, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN. By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile stations access to a single server, where content names and content sizes are obtained from real trace of Internet traffic. The obtained results show that Evolved Packet Core (EPC) caching scheme can helps to further increases the quality of service as well as offloads server traffic significantly.

Mobile Edge Computing to Assist the Online Ideological and Political Education

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Online Education ◽  
Ant Colony Algorithm ◽  
Transmission Rate ◽  
Rapid Development ◽  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Mobile Video ◽  
Data Traffic ◽  
Growth Trend

With the rapid development of mobile Internet technology, mobile network data traffic presents an explosive growth trend. Especially, the proportion of mobile video business has become a large proportion in mobile Internet business. Mobile video business is considered as a typical business in the 5G network, such as in online education. The growth of video traffic poses a great challenge to mobile network. In order to provide users with better quality of experience (QoE), it requires mobile network to provide higher data transmission rate and lower network delay. This paper adopts a combined optimization to minimize total cost and maximize QoE simultaneously. The optimization problem is solved by ant colony algorithm. The effectiveness is verified on experiment.

scholarly journals Route Prefix Caching Using Bloom Filters in Named Data Networking

2020 ◽  
Vol 10 (7) ◽  
pp. 2226
Author(s):  
Junghwan Kim ◽  
Myeong-Cheol Ko ◽  
Jinsoo Kim ◽  
Moon Sun Shin
Keyword(s):  
Bloom Filter ◽  
Bloom Filters ◽  
Experimental Result ◽  
Named Data Networking ◽  
Next Generation Internet ◽  
Complex Process ◽  
Caching Scheme ◽  
Name Lookup ◽  
Cache Miss ◽  
Data Networking

This paper proposes an elaborate route prefix caching scheme for fast packet forwarding in named data networking (NDN) which is a next-generation Internet structure. The name lookup is a crucial function of the NDN router, which delivers a packet based on its name rather than IP address. It carries out a complex process to find the longest matching prefix for the content name. Even the size of a name prefix is variable and unbounded; thus, the name lookup is to be more complicated and time-consuming. The name lookup can be sped up by using route prefix caching, but it may cause a problem when non-leaf prefixes are cached. The proposed prefix caching scheme can cache non-leaf prefixes, as well as leaf prefixes, without incurring any problem. For this purpose, a Bloom filter is kept for each prefix. The Bloom filter, which is widely used for checking membership, is utilized to indicate the branch information of a non-leaf prefix. The experimental result shows that the proposed caching scheme achieves a much higher hit ratio than other caching schemes. Furthermore, how much the parameters of the Bloom filter affect the cache miss count is quantitatively evaluated. The best performance can be achieved with merely 8-bit Bloom filters and two hash functions.

scholarly journals A New Efficient Cache Replacement Strategy for Named Data Networking

2021 ◽  
Vol 13 (5) ◽  
pp. 19-35
Author(s):  
Saad Al-Ahmadi
Keyword(s):  
Future Internet ◽  
Data Availability ◽  
Cache Replacement ◽  
Data Traffic ◽  
Named Data Networking ◽  
Future Internet Architecture ◽  
Replacement Strategy ◽  
Content Retrieval ◽  
Network Load ◽  
Data Networking

The Information-Centric Network (ICN) is a future internet architecture with efficient content retrieval and distribution. Named Data Networking (NDN) is one of the proposed architectures for ICN. NDN’s innetwork caching improves data availability, reduce retrieval delays, network load, alleviate producer load, and limit data traffic. Despite the existence of several caching decision algorithms, the fetching and distribution of contents with minimum resource utilization remains a great challenge. In this paper, we introduce a new cache replacement strategy called Enhanced Time and Frequency Cache Replacement strategy (ETFCR) where both cache hit frequency and cache retrieval time are used to select evicted data chunks. ETFCR adds time cycles between the last two requests to adjust data chunk’s popularity and cache hits. We conducted extensive simulations using the ccnSim simulator to evaluate the performance of ETFCR and compare it to that of some well-known cache replacement strategies. Simulations results show that ETFCR outperforms the other cache replacement strategies in terms of cache hit ratio, and lower content retrieval delay.

scholarly journals Compound Popular Content Caching Strategy in Named Data Networking

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 771 ◽  
Author(s):  
Naeem ◽  
Nor ◽  
Hassan ◽  
Kim
Keyword(s):  
Data Dissemination ◽  
Stretch Ratio ◽  
Data Traffic ◽  
Named Data Networking ◽  
Caching Strategy ◽  
Content Caching ◽  
Content Diversity ◽  
Cache Hit Ratio ◽  
Caching Mechanism ◽  
Data Networking

The aim of named data networking (NDN) is to develop an efficient data dissemination approach by implementing a cache module within the network. Caching is one of the most prominent modules of NDN that significantly enhances the Internet architecture. NDN-cache can reduce the expected flood of global data traffic by providing cache storage at intermediate nodes for transmitted contents, making data broadcasting in efficient way. It also reduces the content delivery time by caching popular content close to consumers. In this study, a new content caching mechanism named the compound popular content caching strategy (CPCCS) is proposed for efficient content dissemination and its performance is measured in terms of cache hit ratio, content diversity, and stretch. The CPCCS is extensively and comparatively studied with other NDN-based caching strategies, such as max-gain in-network caching (MAGIC), WAVE popularity-based caching strategy, hop-based probabilistic caching (HPC), LeafPopDown, most popular cache (MPC), cache capacity aware caching (CCAC), and ProbCache through simulations. The results shows that the CPCCS performs better in terms of the cache hit ratio, content diversity ratio, and stretch ratio than all other strategies.

scholarly journals The Application and Research of College English Blended Teaching Mode Based on MosoTeach

2020 ◽  
Vol 4 (9) ◽  
Author(s):  
Wei Yin
Keyword(s):  
Online Education ◽  
Mobile Learning ◽  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Digital Information ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Learning Platform

Now it is the digital information age. With the maturity of mobile Internet technology and the increase of online education demand, mobile learning applications based on mobile Internet terminals have been vigorously developed and widely used. Blended English teaching based on mobile network technology has become an inevitable trend in College English teaching. The new teaching mode is student-centered and emphasizes the interaction between teachers and students. The implementation of personalized teaching mode is conducive to improving students' learning autonomy and innovation, it can improve the classroom teaching effect to a certain extent. At present, the post-90s college students are the pioneers of the Internet era, but also the trendsetters in the wave of mobile Internet. How to effectively apply the mobile learning platform such as MosoTeach to College English teaching is the core theme of this paper.

Applying Fuzzy Clustering to Examine Marketing Strategy of Tourism Brand in Mobile Internet Era

2019 ◽  
Vol 17 (2) ◽  
pp. 29-41
Author(s):  
Yuping Jin
Keyword(s):  
Development Strategy ◽  
Communication Technology ◽  
Mobile Network ◽  
Television Advertising ◽  
Tourism Industry ◽  
Mobile Internet ◽  
Internet Technology ◽  
The Internet ◽  
Similarity Matrix ◽  
Television Broadcasting

Mobile internet technology is the development of modern communication technology and internet technology, which guides the progress of modern communication and the information field. It enables most users to access the internet easily with just a mobile phone through a powerful and convenient mobile network. Compared with the traditional ways of television advertising and television broadcasting, there is a clear advantage to expand the development of tourism by using the mobile internet. Therefore, it is important to study the development of tourism industry in the context of the mobile internet era. Based on the analysis of the characteristics of mobile internet, and its impact on the tourism industry, this article uses the intelligent push algorithm based on fuzzy K-means clustering to construct the similarity matrix. Then, the efficiency is pushed, and reasonable information is sent to users by the calculated degree of interest. In this way, people can realize a more perfect tourism development strategy based on the background of the mobile internet era.

Who (Dis)Continues to use SMS in the Age of Ubiquitous Mobile Internet Access?

2015 ◽  
Vol 11 (3) ◽  
pp. 31-53
Author(s):  
Torsten J. Gerpott
Keyword(s):  
Mobile Communications ◽  
Sharp Decrease ◽  
Mobile Network ◽  
Initial Study ◽  
Median Number ◽  
Mobile Internet ◽  
Future Research ◽  
Data Traffic ◽  
Using Data ◽  
Number Of Customers

Using data of 11526 residential postpaid subscribers of the German subsidiary of a multinational mobile network operator (MNO) extracted from the firm's customer and billing records, this investigation empirically examines the association between monthly mobile Internet (MI) data traffic volume generated by consumers and their monthly number of SMS sent at the within- and between-subjects levels over 25 months from October 2011 to October 2013. Multilevel analysis of the time-varying and -constant study variables suggests that, in spite of a sharp decrease in the average/median number of outgoing SMS in the course of the investigation period, customer heterogeneity with regard to the relationship between MI and SMS use intensities is very large. The number of customers with a negative with-person regression slope for MI data volume is almost as high as the number of consumers, whose slope is positive. Subscribers, who are most likely to reduce their SMS volume in parallel to an increase of their MI data traffic, are persons, who (1) are heavy SMS users in the initial study period (October 2011), (2) are female, (3) have a longer MNO tenure, (4) are currently in an SMS flat price scheme, (5) are presently equipped with an Apple iPhone or a Samsung Galaxy smartphone and (6) put their current handset into operation more recently. Implications of these findings for service-marketing strategies of MNO and for future research on demand interdependencies between relatively newly introduced and well-established mobile communications services are discussed.

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