Hybrid Gene Trajectory Clustering (GTC) algorithm [1,2] proves to be a good candidate to cluster multi-dimensional noisy time series. In this paper we apply the hybrid GTC to learn the structure of the stock market and to infer interesting relationships out of closing prices data. We conclude that hybrid GTC can successfully identify homogeneous and stable stock clusters and these clusters can further help the investors.

Desktop Grid systems reached a preeminent place among the most powerful computing platforms in the planet. Unfortunately, they are extremely vulnerable to mischief, because computing projects exert no administrative or technical control on volunteers. These can very easily output bad results, due to software or hardware glitches (resulting from over-clocking for instance), to get unfair computational credit, or simply to ruin the project. To mitigate

Grid computing allows one to access, utilise and manage heterogeneous resources in virtual organisations across multiple domains and institutions. The formation and operation of virtual organisations involve establishing trust among their members and reputation is one measure by which such trust can be quantified and reasoned about. This paper presents a reputation model for Grid-based virtual organisations that can be used to rate users as well

As service-oriented systems emerge toward a fully decentralized collaborative environment, resource aggregation becomes one of the important features to study. In this paper we investigate the effectiveness of resource aggregation in a peer-to-peer architecture with autonomous nodes that can either supply or consume services. We consider various setups concerning the initial endowment of the system with resources, the load with service requests,

Firewalls are recognized as efficient instruments in deploying security in computer networks. But, they may become useless in cases when network administrators do not possess enough skills and expertise to properly configure them. Nowadays, firewall rules are integrated in the broader scope of enterprise security management. Thus, deriving correct and consistent rules for firewalls is mandatory and they need to be assimilated in the global security

This paper proposes a novel automated agent strategy for stock market trading, developed in the context of the Penn-Lehman automated trading (PLAT) simulation platform by Kearns, M., and Ortiz, L., (2003). We provide a comprehensive experimental validation of our strategy using historic order book data from the NASDAQ market.

he agent technology has become one of the most vibrant and fastest growing research area in Artificial Intelligence and Computer Science. But, there is still a big gap toward the wide scale adoption of the emerged agent technology by the software industry. Even if agent standards matured and stable agent platform implementations exist, the software industry still sees the adoption only after 2010 [1]. In this paper we propose a model for integration