 |
 |
|
|
|
| | | Invited Speakers
P2P Similarity Search Structures
(pdf)
Pavel ZezulaMasaryk University, Brno, Czech Republic
zezula@fi.muni.cz
Abstract
Similarity search represents an important paradigm for content-based retrieval of many applications. Existing centralized search structures can speedup retrieval, but they do not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. Four scalable and distributed similarity search structures in P2P networks are briefly described. By exploiting parallelism in a dynamic network of computers, they all achieve practically constant search time for similarity range or nearest neighbor queries in data-sets of arbitrary sizes. At the same time, the potential for interquery parallelism is increasing with the growing data-sets because the relative number of peers utilized by individual queries is decreasing. All these properties are verified by experiments on a prototype system using real-life data-sets.
Information Systems in a Services Based Economy
(pdf)
Guido Vetere Manager & Research Coordinator, IBM Center for Advanced Studies Rome, gvetere@it.ibm.com
Abstract
The entire World is rapidly moving towards a global economy of services; in U.S., for instance, services account for more than half of the economy. On one hand, the service-based economy requires information systems to support new business models; on the other hand technology generates new business opportunities which are strictly related to information services (e.g. eBay). In a global service-based economy, business is highly decomposed and delocalized, and information systems consist in a web of interneworking information services that need to cooperate in an intelligent way. At the same time, business activities generate events that information systems need to handle smartly and with definite time constraints. Moreover, due to advances in miniaturization, computing becomes pervasive, the number of information sources is rapidly increasing (e.g. RFID), and the mass of timebound data dramatically grows. In sum, modern business requires the availability of a new class of intelligent, event-driven information systems, where intelligence (e.g. semantic-awareness) is a response to challenges coming from heterogeneity and autonomy of the huge amount of information sources available, while real-time processing is needed to handle business effectively. Complexity and latency are the main dimensions in which information management and processing must be studied in this context. The talk will illustrate industrial advances towards intelligent-real time information systems and will point to relevant research directions. |
|
|
|
|
|
|
