SOPA - A Self Organizing Processing and Streaming Architecturepdfauthor

نویسندگان

  • Gerald Friedland
  • Karl Pauls
چکیده

This paper describes SOPA, a component framework that is an essential part of the lecture recording system E-Chalk. It envisiones a general processing and streaming architecture featuring autonomous assembly of stream processing components. The goal is to provide an easy to use framework where dynamically organized processing graphs are build out of components from various distributed sources. Based on state-of-the-art solutions for component based software development the system simplifies the implementation and the configuration of multimedia streaming applications and associated tools. It supports stream synchronization transparently while extending components are installed on the fly according to the existing requirements that may change at any time.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification of Streaming Fuzzy DEA Using Self-Organizing Map

The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis. However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programming. In order to exploit the results of the researches on ...

متن کامل

Design and Test of the Real-time Text mining dashboard for Twitter

One of today's major research trends in the field of information systems is the discovery of implicit knowledge hidden in dataset that is currently being produced at high speed, large volumes and with a wide variety of formats. Data with such features is called big data. Extracting, processing, and visualizing the huge amount of data, today has become one of the concerns of data science scholar...

متن کامل

Customer Order Scheduling with Job-Based Processing and Lot Streaming In A Two-Machine Flow Shop

This paper considers a customer order scheduling (COS) problem in which each customer requests a variety of products processed in a two-machine flow shop. A sequence-independent attached setup for each machine is needed before processing each product lot. We assume that customer orders are satisfied by the job-based processing approach in which the same products from different customer orders f...

متن کامل

Parallelizing single patch pass clustering

Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming larger and larger, it is vital that the algorithms perform efficient for huge data sets. Here we propose a parallelization of patch neural gas which requires only a single run over the data set and which can work with ...

متن کامل

Hybrid algorithms for Job shop Scheduling Problem with Lot streaming and A Parallel Assembly Stage

In this paper, a Job shop scheduling problem with a parallel assembly stage and Lot Streaming (LS) is considered for the first time in both machining and assembly stages. Lot Streaming technique is a process of splitting jobs into smaller sub-jobs such that successive operations can be overlapped. Hence, to solve job shop scheduling problem with a parallel assembly stage and lot streaming, deci...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004