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Conference

International Symposium on Computing and Networking 

About: International Symposium on Computing and Networking is an academic conference. The conference publishes majorly in the area(s): Cellular automaton & Network packet. Over the lifetime, 892 publications have been published by the conference receiving 2905 citations.

Papers published on a yearly basis

Papers
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Proceedings ArticleDOI
10 Dec 2014
TL;DR: A dynamic load rebalancing method based on switch migration mechanism for clustered controllers that enables controllers to relieve the overload via switch migration and can improve throughput and reduce the response time of the control plane.
Abstract: As the size of networks continues to increase, the scalability of the centralized controller becomes increasingly issues in Software Defined Networking. Distributed controllers have been proposed to solve the problem that the centralized controllers such as NOX and Floodlight suffer from. That logically centralized, but physically distributed architecture divide the network into zones with separate multiple controllers to achieve a better scalability control plane. However, Such distributed architecture introduces a new challenge to the load rebalancing of controllers when uneven load distribution among the controllers due to the statically configured mapping between a switch and a controller. Therefore, under variable traffic conditions in real networks, keeping load balance dynamically among the controller clusters is essential for realizing a high performance and scalability control plane. To address these issues, we propose a dynamic load rebalancing method based on switch migration mechanism for clustered controllers. The multiple controllers use Groups to coordinate actions for switch migration. The whole network is divided into several groups and each group is set up one controller cluster. Our proposed method can dynamically shift the load across the multiple controllers through switch migration. The mechanism support controller failover without switch disconnection avoiding the single point of failure problem. We also implemented a prototype system based on Open Day light Hydrogen controller to evaluated the performance of our design. Our preliminary result shows that the method enables controllers to relieve the overload via switch migration and can improve throughput and reduce the response time of the control plane.

56 citations

Proceedings ArticleDOI
04 Dec 2013
TL;DR: This paper presents RTT fairness evaluation using actual TCP implementations and actual network elements and shows that the fairness of CUBIC TCP is not enough, and proposes a method for improving RTT fairness.
Abstract: CUBIC TPC is a congestion control algorithm for TCP. It is the current default TCP algorithm in Linux. Because many internet servers, such as web servers, are running on Linux operating systems, keeping throughput obtained with this TCP enough is quite important. Then, many performance studies have been published. However, most of these studies have been based on network simulators. Thus, evaluations using an actual TCP implementation and actual network elements are important in addition to these existing studies. In this paper, we focused on RTT fairness on CUBIC TCP, which is performance fairness among CUBIC TCP connections with different network delay times. Firstly, we present RTT fairness evaluation using actual TCP implementations and actual network elements and show that the fairness is not enough. Secondly, we discuss the cause of the unfairness based on CUBIC TCP behaviors. Thirdly, we propose a method for improving RTT fairness of CUBIC TCP. Finally, we present evaluation results and demonstrate that the proposed method provides better fairness than original CUBIC TCP implementation.

33 citations

Proceedings ArticleDOI
04 Dec 2013
TL;DR: A Simple and Effective hardware based Real-Time Operating System (SEOS) designed to provide high adaptability for ease of hardware RTOS adaptation, at the same time significantly improved the performance is proposed.
Abstract: Real-Time Operating System (RTOS) is widely used in real time embedded system for computing resource management. It is commonly implemented as fundamental layer in software framework. However, RTOS inevitably causes extra overhead and latency to the system. One of the innovative approaches to improve the overhead and latency is to bring the RTOS out from software framework and implement as hardware component. For past decades, researches had proved that significant performance improvement can be achieved by implementing RTOS in hardware. However, these research outcomes failed to get wide acceptance in commercial products. We postulate that the lacking of interest in commercial community on hardware approached RTOS is due its high level of difficulty in adaptation process. Adapting hardware based RTOS in embedded system requires in depth knowledge on operating system as well as significant amount of manpower resources. This makes the hardware RTOS unpopular despite of the performance offered. This paper proposed a Simple and Effective hardware based Real-Time Operating System (SEOS) designed to provide high adaptability for ease of hardware RTOS adaptation, at the same time significantly improved the performance. Experimental result shows that SEOS has great performance advantages over software based RTOS.

33 citations

Proceedings ArticleDOI
01 Nov 2016
TL;DR: A maintenance platform in which edge nodes analyze sensing data, detect anomaly, extract a new detection rule in real time and a cloud orders maintenance automatically, also analyzes whole data collected by batch process in detail, updates learning model of edge nodes to improve analysis accuracy.
Abstract: Recently, IoT technologies have been progressed and applications of maintenance area are expected. However, IoT maintenance applications are not spread in Japan yet because of insufficient analysis of real time situation, high cost to collect sensing data and to configure failure detection rules. In this paper, using lambda architecture concept, we propose a maintenance platform in which edge nodes analyze sensing data, detect anomaly, extract a new detection rule in real time and a cloud orders maintenance automatically, also analyzes whole data collected by batch process in detail, updates learning model of edge nodes to improve analysis accuracy.

32 citations

Proceedings ArticleDOI
01 Nov 2017
TL;DR: This paper does not collect data of the flow table, extracts three features from the Packet In message for communication between the controller and the switch, and performs real-time attack detection to avoid stringent detection time intervals.
Abstract: Using the OpenFlow protocol, the virtual network technology SDN (Software Defined Network) is now widely used. In recent years, the number of DDoS attacks has been increasing year by year. To detect DDoS attacks in SDN, data recorded in the flow table in OpenFlow switch is analyzed and various detection methods are submitted. However, SDN centrally manages communication within the network, when detecting DDoS (Distributed Denial of Service) attacks. This creates a heavy processing load, and the processing load of the OpenFlow controller must be considered. In this paper, in order to reduce the processing load of the controller, we do not collect data of the flow table, extract three features from the Packet In message for communication between the controller and the switch, and perform real-time attack detection. Furthermore, to avoid stringent detection time intervals, triggers will be added before detection to realize light and dynamic DDoS attacks detection.

32 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
2020112
2019115
2018130
201799
2016113
2015107