{"title":"Evaluation of high-frequency financial transaction processing in distributed memory systems","authors":"Woochur Kim, Jungmee Yun, Hyedong Jung","doi":"10.1145/2663761.2664234","DOIUrl":"https://doi.org/10.1145/2663761.2664234","url":null,"abstract":"A financial system requires processing a large-scale data stream. These data are considerably large for realtime processing. Using a distributed memory system is the most efficient means to process and store this data. In addition, using a high-performance interconnection technology such as InfiniBand is necessary because existing Ethernet technology that uses low bandwidth and possesses high latency can have detrimental effects on the financial system. In particular, in a system that processes large-scale financial data, high latency can cause financial loss. Therefore, high-performance interconnection technology is critical for processing large-scale financial data. We propose a scheme that uses high-performance interconnection technology in a distributed memory system for processing a large-scale data stream. In experiments that test the performance of our system, we use Redis, which is an open source data structure server, and messages of the size of the actual financial data in existence. Experimental results show that our distributed memory system using InfiniBand can process financial transactions with high throughput and low latency.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115429645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of sim-hash algorithm and big data analysis in spam email detection system","authors":"Phuc-Tran Ho, Hee Sun Kim, Sung-Ryul Kim","doi":"10.1145/2663761.2664221","DOIUrl":"https://doi.org/10.1145/2663761.2664221","url":null,"abstract":"Currently, there are many effective techniques that are used for filtering spam emails. However, spammers have mostly identified the weakness of those methods in order to bypass current detection systems. In this paper, we propose a novel similarity-based method that implements the fingerprinting technique on parallel processing framework. Furthermore, meet-in-the-middle approach is used in our method to achieve a higher accuracy in the spam email detection system. Our experimental result demonstrates the improved efficiency of this study.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115968146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cost-efficient mechanism for dynamic VM provisioning in cloud computing","authors":"Yeongho Choi, Yujin Lim","doi":"10.1145/2663761.2664217","DOIUrl":"https://doi.org/10.1145/2663761.2664217","url":null,"abstract":"Cloud computing gradually becomes an issue for modern IT business because of its flexibility, convenience, and low cost. It provides resources with guaranteeing QoS(Quality of Service) to cloud users and revenues to service providers. Due to the dynamics of user demands, service providers need VM(Virtual Machine) provisioning mechanism to predict the amount of resources demanded by cloud users and to estimate the amount of the resources prepared by service providers in the near future. In this paper, a new VM provisioning mechanism is proposed to elastically estimate the amount of resource to be prepared. We present an optimization model of the estimation by maximizing a provider's revenue while satisfying users' QoS requirements and minimizing the penalty for SLA violation. To evaluate the effectiveness of our solution, we consider many practical situations of a cloud system with a series of real trace data. It shows that our model elastically adapts to the dynamic environment while maximizing the revenue of a service provider.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128739955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pedestrian detection of road scenes using depth and intensity features","authors":"S. Gurmu, Min-Woo Park, Soon Ki Jung","doi":"10.1145/2663761.2664226","DOIUrl":"https://doi.org/10.1145/2663761.2664226","url":null,"abstract":"In this paper, we present pedestrian detection method using fusion of intensity and depth features. Complementary fusion of these features significantly boosts the detection performance. Histogram of Oriented gradient (HOG) is applied for feature extraction in both intensity and depth images and trained by linear SVM. Our approach has an advantage over the conventional intensity image based methods, since depth features are robust against illumination, complex background and human pose variations. The experimental result shows that our proposed method has better detection performance.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124308473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring similarities among intrusion detection rules on the MapReduce environment","authors":"Inbok Lee, P. Do, Phuoc Do, Sung-Ryul Kim","doi":"10.1145/2663761.2664224","DOIUrl":"https://doi.org/10.1145/2663761.2664224","url":null,"abstract":"In this paper, we define the problem of measuring similarities among intrusion detection rules written as regular expression. It is related to the efficiency of the intrusion detection systems. To avoid complex computation related to regular expression, we propose a simple heuristic of considering them as strings and computing the distances among them. We implemented this idea on MapReduce environment.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134201061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of data backup on distributed memory system based on key-value store using hot/cold data management","authors":"Woochur Kim, Ikhyun Cho, D. Min, Chris Sung","doi":"10.1145/2663761.2664193","DOIUrl":"https://doi.org/10.1145/2663761.2664193","url":null,"abstract":"Recently, it has been observed that distributed memory systems are being preferred over traditional RDBMS system in several fields that require extensive data processing. However, it is difficult to store data permanently in a distributed memory system. In order to solve this problem, techniques such as snapshotting and logging are used. The disadvantages of using these techniques include high system load and increased file size in a large-scale distributed system. In this paper, we propose a scheme that applies snapshotting and data logging using hot/cold data management. It is possible to reduce system load and process large-scale transactions using this scheme.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md Nashid Anjum, Jun Huang, Yanxiao Zhao, Wei Wang
{"title":"Fairness-oriented spectrum sharing for ODFC-based WRAN","authors":"Md Nashid Anjum, Jun Huang, Yanxiao Zhao, Wei Wang","doi":"10.1145/2663761.2664201","DOIUrl":"https://doi.org/10.1145/2663761.2664201","url":null,"abstract":"Wireless Regional Area Network (WRAN) is standardized by IEEE 802.22 to improve the spectrum utilization in the TV frequency spectrum. Spectrum sharing or coexistence among unlicensed users, plays a crucial role in the spectrum utilization and hence it has been identified as a critical issue in WRAN. Coexistence between unlicensed users is referred to as self-coexistence for which IEEE 802.22 designs the On Demand Frame Contention (ODFC) as a solution. The traditional 802.22 ODFC selects a contention winner in a random manner where all the contenders have a uniform winning probability distribution, without considering different frame demands from contenders. Consequently, the winner will occupy the channel for a long time if it has a larger frame demand while unsuccessful contenders may suffer from spectrum starvation, thus ODFC does not ensure a fair self-coexistence. In this paper, we investigate the fairness issue and present a novel approach termed Fairness-oriented ODFC (F-ODFC). The proposed approach considers several effects including different frame demands from contenders and previous contention failure rates among multiple users with the same frame demands. In F-ODFC, we employ a probabilistic approach rather than the traditional deterministic solution to attack the fairness problem. Extensive simulations verify that the proposed F-ODFC is able to provide a fair self-coexistence mechanism with varied frame demands and significantly enhance the fairness of ODFC-based WRAN.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122650950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast image filtering via adaptive noise detection","authors":"Tuan-Anh Nguyen, Jong-Geun Oh, Min-Cheol Hong","doi":"10.1145/2663761.2664228","DOIUrl":"https://doi.org/10.1145/2663761.2664228","url":null,"abstract":"This work develops a spatially white Gaussian noise detection algorithm for blind image filtering. First, the noise component as well as the noise level are estimated by using the local statistics from an observed degraded image. Then, the first order Markov Random Field is effectively used to control the noise detection performance. Finally, pixels, the adaptive weighted filter with the resizable patches is adopted to restore the detected noisy pixels. Numerous simulations have been conducted to demonstrate the effectiveness of the proposed method.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stixels estimation through stereo matching of road scenes","authors":"Kwang Hee Won, J. Son, Soon Ki Jung","doi":"10.1145/2663761.2664218","DOIUrl":"https://doi.org/10.1145/2663761.2664218","url":null,"abstract":"Recently, Stixel-world, a medium level representation of road scene components has been introduced. The existing stixels estimation approaches are separated from a depth estimation process, or they directly make use of stereo images and only compute stixels without producing per-pixel depth information. For road scenes, however, many machine vision tasks require both per-pixel depth information and the higher-level representation of it. This paper presents a combined process of stixels estimation and stereo matching process. The proposed method generates per-pixel depth information and stixels for both the ground surface and obstacles, at the same time. We have modified a multi-path line-optimization process of the stereo matching algorithm to produce multiple stixels of the ground and obstacle segments for each image column. Experimental results show that the proposed algorithm estimates stixels more accurately than the existing algorithm, and it also produces high-quality dense depth information, at the same time.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127964955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental approach: energy-and-bandwidth spectrum sensing using GNU radio and USRP","authors":"Yanxiao Zhao, Jems Pradhan, Jun Huang, Hui Sun","doi":"10.1145/2663761.2664200","DOIUrl":"https://doi.org/10.1145/2663761.2664200","url":null,"abstract":"Spectrum sensing is an essential process to implement dynamic spectrum access successfully and hence improve the spectrum utilization. This paper focuses on an experimental investigation of spectrum sensing using GNU radio and Universal Software Radio Peripheral (USRP) board. In the most related works, the method of energy detection is widely used for experiments on spectrum sensing, in which the energy amplitude of the received signal is the sole parameter to determine a channel's status. Specifically, if the amplitude of received energy exceeds a given threshold, the channel is detected busy, otherwise the channel is sensed idle. By observing experimental results, we find that the energy amplitudes of unwanted signals, which may be either interference or noise or both, are often at the same level as the desired signal. This will lead to a false alarm if the traditional energy detection is employed. At the same time, the bandwidth of unwanted signals are usually narrow and around 10KHz in a lab environment, which is far less than a regular signal's bandwidth, e.g. 40MHz in 802.11n and 20MHz in 802.11a. Inspired by these observations, we propose a new and simple approach termed Energy-and-Bandwidth Spectrum Sensing (EBSS), in which both the energy level and bandwidth of the received signal are taken into account. In addition, the sensing performance including false alarm and miss detection are analyzed. Extensive experiments are conducted and results verify that both false alarm and miss detection can be significantly reduced by the proposed approach.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114122407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}