Proceedings of the 7th ACM international conference on Distributed event-based systems
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Notice bibliographique
Résumé
It is our great pleasure to welcome you to the 7th ACM International Conference on Distributed Event-Based Systems (DEBS 2013) here at The University of Texas at Arlington, Arlington, Texas, USA. DEBS is the flagship conference for the dissemination of original research, demonstration of prototypes, the discussion of new practical insights, and the reporting of relevant experience relating to event-based computing. Event-based systems have gained in importance in many application domains, ranging from real-time data processing in web environments, nontraditional applications, such as railroad safety and track monitoring, logistics and networking, to complex event processing in finance and security. The event-based paradigm strengthened by continuous stream data processing has gathered momentum as witnessed by current efforts in areas such as event-driven architectures, big data systems, the internet of things, complex event processing, publish/subscribe systems, business process management, cloud computing, web services, information dissemination, and message-oriented middleware. The DEBS conference brings researchers, students, and practitioners from these various communities together in an international setting to exchange ideas and knowledge about current research work and open challenges. The conference also provides a forum for facilitating the exchange of ideas between academics, vendors, and application developers. The call for scientific papers attracted 58 submissions from Asia, Canada, Europe, and the United States. The program committee accepted 16 papers that cover a variety of topics, including distributed stream processing, publish/subscribe systems, complex event processing models and languages, and mobility and query optimization. The technical program is complemented by three keynotes talks provided by Roger Barga (Microsoft Research), David Wollman (National Institute of Standards and Technology), and Shailendra Mishra (Paypal). Roger Barga addresses the need for batch-oriented analytics engines that are supported by storage and data processing engines such as Hadoop to also provide real-time analytics capabilities. David Wollman outlines the role of stream and event processing for the Smart Grid and other cyber-physical systems applications. Finally, Shailendra Mishra describes the challenges of complex event processing as a supporting technology for the data cloud and cloud services framework. In addition, Jennifer Maxwell (BNSF Railway) presents an invited experience report on the use of event-based technology for the development of an advanced railroad application. To place emphasis on the practical use of event-based technologies in distributed environments, the Grand Challenge competition provides a showcase of event-based solutions to problems that are relevant to industry at large using real-life data and queries. This year's challenge involved demonstrating the applicability of event-based systems for real-time analytics over high velocity sensor data collected from a soccer game. In addition to the Grand Challenge competition, demonstration and poster sessions provide an opportunity for groups of students, researchers, and practitioners to showcase their prototypes and research for an international audience. The Doctoral Workshop also acts as a meeting place for students to discuss their research and obtain meaningful feedback as well as interaction with experts in the field.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle