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  • Open Access

    ARTICLE

    Openflow Based Dynamic Flow Scheduling with Multipath for Data Center Networks

    Haisheng Yu1, Heng Qi1, Keqiu Li1, Jianhui Zhang1,Peng Xiao2, Xun Wang1

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 251-258, 2018, DOI:10.32604/csse.2018.33.251

    Abstract The routing mechanism in Data Center networks can affect network performance and latency significantly. Hash-based method, such as ECMP (Equal-Cost Multi-Path), has been widely used in Data Center networks to fulfill the requirement of load balance. However, ECMP statically maps one flow to a path by a hash method, which results in some paths overloaded while others remain underutilized. Some dynamic flow scheduling schemes choose the most underutilized link as the next hop to better utilize the network bandwidth, while these schemes lacks of utilizing the global state of the network. To achieve high bandwidth… More >

  • Open Access

    ARTICLE

    Reliable Differentiated Services Optimization for Network Coding Cooperative Communication System

    Anfeng Liu1, Jie Min1, Kaoru Ota2, Ming Zhao3

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 235-250, 2018, DOI:10.32604/csse.2018.33.235

    Abstract Software-Defined Networking (SDN) is a new network architecture with flexibility and scalability, researchers introduced the core idea of SDN into wireless network, and a cooperative communication system based on network coding is proposed. In this paper, we carry on an investigation in differentiated service strategy of network coding cooperative communication system. The meaning of differentiated services is for the different applications take different power for data transmission and the transmission power is associated with their reliability needs. In other words, transmission power control is performed in the presence of known reliability, we named the scheme… More >

  • Open Access

    ARTICLE

    Preface of Special Issue: Future Internet

    Xiulong Liu1, Mianxiong Dong2, Xiaobo Zhou3

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 233-234, 2018, DOI:10.32604/csse.2018.33.233

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Integrating a Decision Tree Perspective at the Operational-Level of BPM+

    Ahmad Alomari1,∗, Alain April1, Carlos Monsalve2, Amjad Gawanmeh3

    Computer Systems Science and Engineering, Vol.33, No.3, pp. 219-227, 2018, DOI:10.32604/csse.2018.33.219

    Abstract Decision trees are among the best-known decision-making techniques and have been used extensively for both data analysis and predictive modeling. BPM+ is a novel process modeling approach that helps represent business process models in a consistent and structured way to meet different stakeholders’ process representation needs. This paper reports on the outcomes of an ontological analysis of the potential use of decision-tree representations as a new BPM+ perspective for the operational level of abstraction. This new perspective effectively demonstrates how a specialized/operational BPM stakeholder perspective can be used to improve the existing organizational business process More >

  • Open Access

    ARTICLE

    A Risk Poker Based Testing Model for Scrum

    Siti Noor Hasanah Ghazali1, Siti Salwah Salim1,*, Irum Inayat2, Siti Hafizah Ab Hamid1

    Computer Systems Science and Engineering, Vol.33, No.3, pp. 169-185, 2018, DOI:10.32604/csse.2018.33.169

    Abstract In agile software development, project estimation often depends on group discussion and expert opinions. Literature claims that group discussion in risk analysis helps to identify some of the crucial issues that might affect development, testing, and implementation. However, risk prioritization often relies on individual expert judgment. Therefore, Risk Poker, a lightweight risk-based testing methodology in which risk analysis is performed through group discussion that outperforms the individual analyst’s estimation is introduced in agile methods. Keeping in view aforementioned benefits Risk Poker can offer, unfortunately, no study has been conducted to empirically prove its ability to… More >

  • Open Access

    ARTICLE

    Online And Offline Scheduling Schemes to Maximize the Weighted Delivered Video Packets Towards Maritime Cpss

    Tingting Yang1, Hailong Feng1, Chengming Yang2, Ge Guo3, Tieshan Li1

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 157-164, 2018, DOI:10.32604/csse.2018.33.157

    Abstract In this paper, the online and offline scheduling schemes towards maritime Cyber Physical Systems (CPSs), to transmit video packets generating from the interior of vessel. During the sailing from the origin port to destination port, the video packets could be delivered via the infostations shoreside. The video packets have their respective release times, deadlines, weights and processing time. The video packets only could be successfully transmitted before their deadlines. A mathematic job-machine problem is mapped. Facing distinguished challenges with unique characteristics imposed in maritime scenario, we focus on the heterogeneous networking and resource optimal scheduling More >

  • Open Access

    ARTICLE

    Human Movement Detection and Gait Periodicity Analysis via Channel State Information

    Wenyuan Liu1,2, Zijuan Liu1,*, Lin Wang1, Binbin Li1, Nan Jing1

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 137-147, 2018, DOI:10.32604/csse.2018.33.137

    Abstract In recent years, movement detection and gait recognition methods using different techniques emerge in an endless stream. On the one hand, wearable sensors need be worn by the detecting target and the method based on camera requires line of sight. On the other hand, radio frequency signals are easy to be impaired. In this paper, we propose a novel multi-layer filter of channel state information (CSI) to capture moving individuals in dynamic environments and analyze his/her gait periodicity. We design and evaluate an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal More >

  • Open Access

    ARTICLE

    Research on Tourist Routes Recommendation Based on the User Preference Drifting Over Time

    Chunjing Xiao1,∗, Yongwei Qiao2, Kewen Xia1, Yuxiang Zhang3

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 95-103, 2018, DOI:10.32604/csse.2018.33.095

    Abstract Tourist routes recommendation is a way to improve the tourist experience and the efficiency of tourism companies. Session-based methods divide all users’ interaction histories into the same number sessions with fixed time window and treat the user preference as time sequences. There have few or even no interaction in some sessions for some users because of the high sparsity and temporal characteristics of tourist data. That lead to many session-based methods can not be applied to routes recommendation due to aggravate the sparsity. In order to better adapt and apply the characteristics of tourism data… More >

  • Open Access

    ARTICLE

    Tensor-Based User Trajectory Mining

    Chen Yu, Qinmin Hong, Dezhong Yao, Hai Jin

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 87-94, 2018, DOI:10.32604/csse.2018.33.087

    Abstract The rapid expansion of GPS-embedded devices has showed the emerging new look of location-based services, enabling such offerings as travel guide services and location-based social networks. One consequence is the accumulation of a rich supply of GPS trajectories, indicating individuals’ historical position. Based on these data, we aim to mine the hot route by using a collaborative tensor calculation method. We present an efficient trajectory data processing model for mining the hot route. In this paper, we rst model the individual’s trajectory log, extract sources and destinations, use map matching to get the corresponding road More >

  • Open Access

    ARTICLE

    The Optimization Reachability Query of Large Scale Multi-Attribute Constraints Directed Graph

    Kehong Zhang, Keqiu Li

    Computer Systems Science and Engineering, Vol.33, No.2, pp. 71-85, 2018, DOI:10.32604/csse.2018.33.071

    Abstract Today, many applications such as social network and biological network develop rapidly,the graph data will be expanded constantly on a large scale. Some classic methods can not effectively solve this scale of the graph data. In the reachability query, many technologies such as N-Hop, tree, interval labels, uncertain graph processing are emerging, they also solve a lot of questions about reachability query of graph. But, these methods have not put forward the effective solution for the new issues of the multiattribute constraints reachability on directed graph. In this paper, TCRQDG algorithm effectively solves this new More >

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