OpenTag: Tag-Based User-Driven In-Network Packet Processing on Commercial Network Devices

2013 ◽  
Vol E96.B (1) ◽  
pp. 31-39
Author(s):  
Ryoji FURUHASHI ◽  
Akihiro NAKAO
Keyword(s):  
Packet Processing ◽  
Commercial Network

Study on Low-Carbonization of Commerce in Qinhuangdao City

2014 ◽  
Vol 926-930 ◽  
pp. 4369-4372
Author(s):  
Li Ta ◽  
Lian Long Wang ◽  
Hui Gao
Keyword(s):  
External Environment ◽  
Low Carbon ◽  
Carbon Consumption ◽  
Commercial Development ◽  
Internal Governance ◽  
Leading Role ◽  
Commercial Enterprise ◽  
The Government ◽  
Commercial Network ◽  
Commercial Field

Carbon emissions from energy consumption of commerce in Qinhuangdao are calculated from year 2001 to 2010, which show a growing tendency from total amounts and intensity. The limited factors of low-carbonization of commerce in Qinhuangdao are analyzed and the corresponding advices of low-carbonization of commerce are raised. Commercial enterprise enterprise should actively take internal governance, control the carbon emission of commercial buildings and properly select suppliers. The government should play a leading role and provide a good external environment for low carbon commercial development, which includes reasonably planning business industrial and commercial network layout, guide the use and development of the low-carbon techniques in commercial field, establishing special funds of low carbon business development to support the medium and small business enterprises, and strengthening the guide of low-carbon consumption.

scholarly journals High Performance Packet Processing with FlexNIC

2016 ◽  
Vol 51 (4) ◽  
pp. 67-81 ◽  
Author(s):  
Antoine Kaufmann ◽  
SImon Peter ◽  
Naveen Kr. Sharma ◽  
Thomas Anderson ◽  
Arvind Krishnamurthy
Keyword(s):  
High Performance ◽  
Packet Processing

scholarly journals High Performance Packet Processing with FlexNIC

2016 ◽  
Vol 44 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Antoine Kaufmann ◽  
SImon Peter ◽  
Naveen Kr. Sharma ◽  
Thomas Anderson ◽  
Arvind Krishnamurthy
Keyword(s):  
High Performance ◽  
Packet Processing

scholarly journals An Adaptive Throughput-First Packet Scheduling Algorithm for DPDK-Based Packet Processing Systems

2021 ◽  
Vol 13 (3) ◽  
pp. 78
Author(s):  
Chuanhong Li ◽  
Lei Song ◽  
Xuewen Zeng
Keyword(s):  
Packet Loss ◽  
High Performance ◽  
Packet Scheduling ◽  
Scheduling Algorithm ◽  
Processing System ◽  
System Throughput ◽  
Packet Processing ◽  
Research Attention ◽  
Continuous Increase ◽  
Packet Scheduling Algorithm

The continuous increase in network traffic has sharply increased the demand for high-performance packet processing systems. For a high-performance packet processing system based on multi-core processors, the packet scheduling algorithm is critical because of the significant role it plays in load distribution, which is related to system throughput, attracting intensive research attention. However, it is not an easy task since the canonical flow-level packet scheduling algorithm is vulnerable to traffic locality, while the packet-level packet scheduling algorithm fails to maintain cache affinity. In this paper, we propose an adaptive throughput-first packet scheduling algorithm for DPDK-based packet processing systems. Combined with the feature of DPDK burst-oriented packet receiving and transmitting, we propose using Subflow as the scheduling unit and the adjustment unit making the proposed algorithm not only maintain the advantages of flow-level packet scheduling algorithms when the adjustment does not happen but also avoid packet loss as much as possible when the target core may be overloaded Experimental results show that the proposed method outperforms Round-Robin, HRW (High Random Weight), and CRC32 on system throughput and packet loss rate.

Coalition loyalty-programme adoption and urban commercial-network effectiveness evaluation

2014 ◽  
Vol 42 (9) ◽  
pp. 818-838 ◽  
Author(s):  
Ivan De Noni ◽  
Luigi Orsi ◽  
Luca Zanderighi
Keyword(s):  
Urban Areas ◽  
Dynamic Network ◽  
Theory And Practice ◽  
Evaluation Methodology ◽  
Marketing Theory ◽  
Urban Network ◽  
Content Type ◽  
Network Effectiveness ◽  
Commercial Network ◽  
Loyalty Programme

Purpose – To counter the proliferation of out-of-town shopping centres, a spontaneous or planned coalition loyalty programme (CLP), one involving most retailers in an urban network, may positively affect a town centre's capacity to entice customers and may enhance its competitiveness. The purpose of this paper is to assess the effectiveness of CLP implementation in town-centre management (TCM) as a tool for enhancing urban commercial-system attractiveness. Design/methodology/approach – The theoretical framework used in this study is supported by the evaluation methodologies of an empirical case study: the Savigliano Card project. CLP performance analysis uses a dynamic network-competitiveness index, an approach based on Laspeyres-type decomposition. The effects on each retailer's profitability are then tested by matching network and regression analyses. Findings – The results suggest that CLPs implementation in a TCM scheme can produce benefits and positive externalities for customers, retailers and urban areas. CLPs can influence a town centre's revitalisation process, improve the attractiveness of the urban commercial network and increase the profitability of private retailers by enhancing cross-selling dynamics. Practical implications – The paper provides a CLP performance-evaluation methodology and presents the benefits concerning CLP implementation in TCM strategies. Originality/value – This type of CLP is weakly exploited in marketing theory and practice; therefore, the paper provides theoretical and empirical explanations for the measurement of CLP effectiveness in TCM. In addition, it has significant implications for both practitioners and academics.

Optimizing software cache performance of packet processing applications

2007 ◽  
Vol 42 (7) ◽  
pp. 227-236
Author(s):  
Qin Wang ◽  
Junpu Chen ◽  
Weihua Zhang ◽  
Min Yang ◽  
Binyu Zang
Keyword(s):  
Packet Processing ◽  
Cache Performance ◽  
Software Cache
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