273 research outputs found
Mining Unclassified Traffic Using Automatic Clustering Techniques
In this paper we present a fully unsupervised algorithm to identify classes of traffic inside an aggregate. The algorithm leverages on the K-means clustering algorithm, augmented with a mechanism to automatically determine the number of traffic clusters. The signatures used for clustering are statistical representations of the application layer protocols. The proposed technique is extensively tested considering UDP traffic traces collected from operative networks. Performance tests show that it can clusterize the traffic in few tens of pure clusters, achieving an accuracy above 95%. Results are promising and suggest that the proposed approach might effectively be used for automatic traffic monitoring, e.g., to identify the birth of new applications and protocols, or the presence of anomalous or unexpected traffi
KISS: Stochastic Packet Inspection Classifier for UDP Traffic
This paper proposes KISS, a novel Internet classifica- tion engine. Motivated by the expected raise of UDP traffic, which stems from the momentum of Peer-to-Peer (P2P) streaming appli- cations, we propose a novel classification framework that leverages on statistical characterization of payload. Statistical signatures are derived by the means of a Chi-Square-like test, which extracts the protocol "format," but ignores the protocol "semantic" and "synchronization" rules. The signatures feed a decision process based either on the geometric distance among samples, or on Sup- port Vector Machines. KISS is very accurate, and its signatures are intrinsically robust to packet sampling, reordering, and flow asym- metry, so that it can be used on almost any network. KISS is tested in different scenarios, considering traditional client-server proto- cols, VoIP, and both traditional and new P2P Internet applications. Results are astonishing. The average True Positive percentage is 99.6%, with the worst case equal to 98.1,% while results are al- most perfect when dealing with new P2P streaming applications
Uncovering the big players of the web
In this paper we aim at observing how today the Internet large organizations deliver web content to end users. Using one-week long data sets collected at three vantage points aggregating more than 30,000 Internet customers, we characterize the offered services precisely quantifying and comparing the performance of different players. Results show that today 65% of the web traffic is handled by the top 10 organiza- tions. We observe that, while all of them serve the same type of content, different server architectures have been adopted considering load bal- ancing schemes, servers number and location: some organizations handle thousands of servers with the closest being few milliseconds far away from the end user, while others manage few data centers. Despite this, the performance of bulk transfer rate offered to end users are typically good, but impairment can arise when content is not readily available at the server and has to be retrieved from the CDN back-en
P. E. Arias, S. Aurigemma, P. Burchi, N. Finamore, G. Maioli, G. A. Mansuelli, G. C. Susini, A. Veggiani, Studi Sarsinati
Cambier Guy. P. E. Arias, S. Aurigemma, P. Burchi, N. Finamore, G. Maioli, G. A. Mansuelli, G. C. Susini, A. Veggiani, Studi Sarsinati. In: L'antiquité classique, Tome 29, fasc. 1, 1960. pp. 273-274
Corpus de relatos folclóricos de Gennaro Finamore
The aim of this study is to present the body of popular narratives collected by dialectologist and folklorist Gennaro Finamore from the oral tradition of his region, in a period ranging from the late 19th century to the early 20th century. To understand the reasons that led the author to devote himself to folkloric studies, some aspects of his biography, academic background, and early scientific research are highlighted. Compilations of popular narratives, publications on other genres of traditional literature, and studies focused exclusively on folkloric themes have been explored to present this corpus. Issues related to the different stages of collection and elaboration of ethnographic texts, as well as other types of materials related to his fieldwork and the studies it has generated, are addressedEl objetivo de este estudio es dar a conocer el repertorio de narrativa popular recopilado por el dialectólogo y folclorista Gennaro Finamore de la tradición oral de su región, en un periodo que abarca desde finales del siglo XIX hasta los primeros años del siglo XX. Para comprender las razones que llevaron al autor a dedicarse a los estudios folclóricos, se señalan algunos aspectos de su biografía, formación académica y primeras investigaciones científicas. Se han explorado compilaciones de narrativa popular, publicaciones sobre otros géneros de la literatura tradicional y estudios centrados exclusivamente en temas folclóricos para presentar este corpus. Se abordan cuestiones relacionadas con las distintas etapas de recopilación y elaboración de los etnotextos, así como otro tipo de materiales vinculados a su trabajo de campo y a los estudios que ha generado
P. E. Arias, S. Aurigemma, P. Burchi, N. Finamore, G. Maioli, G. A. Mansuelli, G. C. Susini, A. Veggiani, Studi Sarsinati
Cambier Guy. P. E. Arias, S. Aurigemma, P. Burchi, N. Finamore, G. Maioli, G. A. Mansuelli, G. C. Susini, A. Veggiani, Studi Sarsinati. In: L'antiquité classique, Tome 29, fasc. 1, 1960. pp. 273-274
Biomimetic complexes of divalent cobalt and zinc with N-heterocyclic dicarboxylic ligands
To complete a previous characterization of complexes with a polycarboxylate ligand, imidazole-4,5-dicarboxylic acid (H(2)imdc), cobalt and zinc complexes with (Himdc)(-) ligand were synthesized. The precipitated Co(Himdc)(2)(H2O)(2) and Zn(Himdc)(2)(H2O)(2) complexes were characterized and their stability was studied by thermoanalytical techniques coupled to mass spectrometry, to prove their decomposition mechanism by evolved gas analysis (EGA-MS). The results confirmed that the decomposition mechanism, already proposed for the analog copper and nickel complexes, can be assumed as representative for these structures, independently from the central coordinating metal. (C) 2014 Elsevier B.V. All rights reserved
Corpus de relatos folclóricos de Gennaro Finamore
The aim of this study is to present the body of popular narratives collected by dialectologist and folklorist Gennaro Finamore from the oral tradition of his region, in a period ranging from the late 19th century to the early 20th century. To understand the reasons that led the author to devote himself to folkloric studies, some aspects of his biography, academic background, and early scientific research are highlighted. Compilations of popular narratives, publications on other genres of traditional literature, and studies focused exclusively on folkloric themes have been explored to present this corpus. Issues related to the different stages of collection and elaboration of ethnographic texts, as well as other types of materials related to his fieldwork and the studies it has generated, are addressedEl objetivo de este estudio es dar a conocer el repertorio de narrativa popular recopilado por el dialectólogo y folclorista Gennaro Finamore de la tradición oral de su región, en un periodo que abarca desde finales del siglo XIX hasta los primeros años del siglo XX. Para comprender las razones que llevaron al autor a dedicarse a los estudios folclóricos, se señalan algunos aspectos de su biografía, formación académica y primeras investigaciones científicas. Se han explorado compilaciones de narrativa popular, publicaciones sobre otros géneros de la literatura tradicional y estudios centrados exclusivamente en temas folclóricos para presentar este corpus. Se abordan cuestiones relacionadas con las distintas etapas de recopilación y elaboración de los etnotextos, así como otro tipo de materiales vinculados a su trabajo de campo y a los estudios que ha generado
Characterization of ISP Traffic: Trends, User Habits, and Access Technology Impact
In the recent years, the research community has increased its focus on network monitoring which is seen as a key tool to understand the Internet and the Internet users. Several studies have presented a deep characterization of a particular application, or a particular network, considering the point of view of either the ISP, or the Internet user. In this paper, we take a different perspective. We focus on three European countries where we have been collecting traffic for more than a year and a half through 5 vantage points with different access technologies. This humongous amount of information allows us not only to provide precise, multiple, and quantitative measurements of "What the user do with the Internet" in each country but also to identify common/uncommon patterns and habits across different countries and nations. Considering different time scales, we start presenting the trend of application popularity; then we focus our attention to a one-month long period, and further drill into a typical daily characterization of users activity. Results depict an evolving scenario due to the consolidation of new services as Video Streaming and File Hosting and to the adoption of new P2P technologies. Despite the heterogeneity of the users, some common tendencies emerge that can be leveraged by the ISPs to improve their servic
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