network traffic characteristics analysis is an important prerequisite for network traffic engineering, traffic monitoring and controlling. Our analysis draws upon massive data obtained from a large Internet service pr...
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In-network caching is one of the most important issues in content centric networking （CCN）, which may extremely influence the performance of the caching system. Although much work has been done for in-network cachin...
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In-network caching is one of the most important issues in content centric networking （CCN）, which may extremely influence the performance of the caching system. Although much work has been done for in-network caching scheme design in CCN, most of them have not addressed the multiple network attribute parameters jointly during caching algorithm design. Hence, to fill this gap, a new in-network caching based on grey relational analysis （GRA） is proposed. The authors firstly define two newly metric parameters named request influence degree （RID） and cache replacement rate, respectively. The RID indicates the importance of one node along the content delivery path from the view of the interest packets arriving The cache replacement rate is used to denote the caching load of the node. Then combining hops a request traveling from the users and the node traffic, four network attribute parameters are considered during the in-network caching algorithm design. Based on these four network parameters, a GRA based in-network caching algorithm is proposed, which can significantly improve the performance of CCN. Finally, extensive simulation based on ndnSIM is demonstrated that the GRA-based caching scheme can achieve the lower load in the source server and the less average hops than the existing the betweeness （Betw） scheme and the ALWAYS scheme.
The anomaly detection using data mining techniques has widely aroused interests in recent years. This paper proposes a novel algorithm to do the Internet quality abnormal analysis. The algorithm is developed with k-me...
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This article puts forward one novel Gb measuring and monitoring system (GBMMS) in Gb interface of general packet radio service (GPRS) networks based on user session. As is well known, the mobile internet is evolving r...
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The rapid development of mobile network brings opportunities for researchers to analyze user behaviors based on largescale network traffic data. It is important for Internet Service Providers(ISP) to optimize resource...
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The rapid development of mobile network brings opportunities for researchers to analyze user behaviors based on largescale network traffic data. It is important for Internet Service Providers(ISP) to optimize resource allocation and provide customized services to users. The first step of analyzing user behaviors is to extract information of user actions from HTTP traffic data by multi-pattern URL matching. However, the efficiency is a huge problem when performing this work on massive network traffic data. To solve this problem, we propose a novel and accurate algorithm named Multi-Pattern Parallel Matching(MPPM) that takes advantage of HashMap in data searching for extracting user behaviors from big network data more effectively. Extensive experiments based on real-world traffic data prove the ability of MPPM algorithm to deal with massive HTTP traffic with better performance on accuracy, concurrency and efficiency. We expect the proposed algorithm and it parallelized implementation would be a solid base to build a high-performance analysis engine of user behavior based on massive HTTP traffic data processing.
For fifth-generation wireless networks to transition to sixth-generation wireless networks, the integration of coordinated multipoint (CoMP) and non-orthogonal multiple access (NOMA) techniques is expected to overcome...
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The long term evolution (LTE) networks provide high data rate access to support multi-media services at the expense of more power consumption in user equipment (UE). Discontinuous reception (DRX) mechanism is one of t...
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ISBN:
(纸本)9781467362351
The long term evolution (LTE) networks provide high data rate access to support multi-media services at the expense of more power consumption in user equipment (UE). Discontinuous reception (DRX) mechanism is one of the promising technologies for energy saving in LTE networks, which extends UE battery lifetime effectively. The DRX parameters configuration should make a compromise between power saving and wake-up delay, which can be achieved by the DRX parameters configuration according to different traffic types with specific quality of service (QoS) requirement. In this paper, we model the DRX mechanism with web traffic using a semi-Markov process. Based on the proposed model, the performance of power saving and wake-up delay with various DRX parameters is analysed, which provides insight on effects of the DRX parameters on the power saving and wake-up delay performance. The analytical results are verified by the simulation, which shows that LTE DRX achieves much power saving gains at the cost of tolerable delay.
Recent years wireless networks have witnessed an explosive growth in enhanced multimedia broadcast and multicast service (eMBMS). Scalable video coding (SVC) streaming is a mainstream coding in eMBMS. In this paper we...
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ISBN:
(纸本)9781849198455
Recent years wireless networks have witnessed an explosive growth in enhanced multimedia broadcast and multicast service (eMBMS). Scalable video coding (SVC) streaming is a mainstream coding in eMBMS. In this paper we present a novel eMBMS user cooperative erasure recovery mechanism based on network coding where SVC streaming and layer network coding are broadcasted by source node. Local cooperative repair together with network coding is used to save total overhead of links and reduce the retransmission times, for purpose of improving Quality of Service (QoS) of video streaming. The simulation results show that the number of retransmissions declines a lot through our mechanism. Local user cooperation saves link overhead as much as 55% when sender disseminates SVC streaming. Combining with layer network coding, the overhead can also be reduced about 17%.
In this paper,we develop a 6G wireless powered Internet of Things(IoT)system assisted by unmanned aerial vehicles(UAVs)to intelligently supply energy and collect data at the same *** our dual-UAV scheme,UAV-E,with a c...
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In this paper,we develop a 6G wireless powered Internet of Things(IoT)system assisted by unmanned aerial vehicles(UAVs)to intelligently supply energy and collect data at the same *** our dual-UAV scheme,UAV-E,with a constant power supply,transmits energy to charge the IoT devices on the ground,whereas UAV-B serves the IoT devices by data collection as a base *** this framework,the system's energy efficiency is maximized,which we define as a ratio of the sum rate of IoT devices to the energy consumption of two UAVs during a fixed working *** the constraints of duration,transmit power,energy,and mobility,a difficult non-convex issue is presented by optimizing the trajectory,time duration allocation,and uplink transmit power of *** tackle the non-convex fractional optimization issue,we deconstruct it into three subproblems and we solve each of them iteratively using the descent method in conjunction with sequential convex approximation(SCA)approaches and the Dinkelbach *** simulation findings indicate that the suggested cooperative design has the potential to greatly increase the energy efficiency of the 6G intelligent UAV-assisted wireless powered IoT system when compared to previous benchmark systems.
To relieve the negative effect brought by the intricate wireless network environment and unstable user behavior in layered mobile peer-to peer（P2P） streaming service, an evolved layered P2P （E-LP2P） data schedulin...
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To relieve the negative effect brought by the intricate wireless network environment and unstable user behavior in layered mobile peer-to peer（P2P） streaming service, an evolved layered P2P （E-LP2P） data scheduling scheme in the process of service delivery is introduced in this paper. The data in base layer is scheduled according to its importance in streaming play to guarantee the basic play of streaming. The data in enhancement layer is scheduled according to the characters of streaming data, including its position and amount in server peer set in a multiple tied way towards the data in enhancement layer. To cope with the layer jitter caused by the fluctuation of bandwidth, jitter prevent mechanism is used to adjust the highest layer dynamically during the process of data scheduling. Simulation results show that the E-LP2P can provide good quality of service（QoS） performance in terms of throughput, layer delivery ratio, server load and useless packet ratio.
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