Entity

Time filter

Source Type

Jánossomorja, Hungary

Di Martino B.,The Second University of Naples | Petcu D.,Institute E Austria Timisoara | Cossu R.,European Space Agency | Goncalves P.,Terradue SRL | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

The current diversity of Cloud computing services, benefic for the fast development of a new IT market, hinders the easy development, portability and inter-operability of Cloud oriented applications. Developing an application oriented view of Cloud services instead the current provider ones can lead to a step forward in the adoption of Cloud computing on a larger scale than the actual one. In this context, we present a position paper exposing the concepts behind a recent proposal for an open-source application programming interface and platform for dealing with multiple Cloud computing offers. © 2011 Springer-Verlag Berlin Heidelberg.


Gulyas L.,PetaByte Ltd | Gulyas L.,AITIA International Inc. | Gulyas L.,Eotvos Lorand University | Kampis G.,PetaByte Ltd | And 2 more authors.
European Physical Journal: Special Topics | Year: 2013

We develop and analyze an agent-based model for the study of information propagation in dynamic contact networks. We represent information as a state of a node in a network that can be probabilistically transferred to an adjacent node within a single time step. The model is based on a closed (yet sufficiently large) population that can support processes of link generation and annihilation using different contact regimes. Our study is confined to the case of homogeneous contacts, where each agent establishes and breaks contacts in the same way. We consider information to be available for spreading in a fixed time window (i.e. finite memory). We find, surprisingly, that information transmission (measured as the proportion of informed nodes after a fixed number of time steps) is identical for dynamic preferential and random networks, but radically different for the associate mixing contact regime. We also find that the probability of transmission is, similarly counterintuitively, not a main driver of the process as opposed the the main network par maters determining contact lifetime and the turnover rate on connections. We discuss the explanation and the significance of these results in the light of the fundamental difference between dynamic and static (cumulative) networks. © 2013 EDP Sciences and Springer.


Dugundji E.R.,University of Amsterdam | Gulyas L.,AITIA International Inc.
Studies in Computational Intelligence | Year: 2013

The reported research treats interactions between agents and generated feedback dynamics in the adoption of various transportation mode alternatives. We consider a simple nested logit model where an agent's choice is directly influenced by the percentages of the agent's neighbors and socio-economic peers making each choice, and which accounts for common unobserved attributes of the choice alternatives in the error structure. We explicitly address non-global interactions within several hypothesized social and spatial network structures. Discrete choice estimation results controlling heterogeneous individual preferences are embedded in a multi-agent based simulation model in order to observe the evolution of choice behavior over time with socio-dynamic feedback due to the network effects. For the particular simple model under study, we find the impact of initial conditions on the emergent long-run behavioral outcomes is dependent on network size and network connectivity. We conclude highlighting limitations of our present study and recommendations for future work. © 2013 Springer-Verlag Berlin Heidelberg.


Dugundji E.R.,University of Amsterdam | Gulyas L.,AITIA International Inc.
Procedia Computer Science | Year: 2012

We consider a model where a commuter's transportation mode choice is directly influenced by percentages of neighbors and socioeconomic peers making each choice. Discrete-choice estimation results controlling overall mechanisms related to individual heterogeneous preferences are embedded in a multi-agent based simulation in order to observe the evolution of choice behavior over time with sociodynamic feedback. We find that the estimated utility parameters for different plausible sociogeographic network scenarios can generate dramatically different dynamics. However, in a hypothetical experiment we find that swapping sociogeographic networks does not significantly change the long-run outcome of the simulation, when utility parameters are held fixed. © 2012 Published by Elsevier Ltd.


Panica S.,West University of Timisoara | Petcu D.,West University of Timisoara | Larrate I.L.,Tecnalia | Mahr T.,AITIA International Inc.
Proceedings - 2012 11th International Symposium on Parallel and Distributed Computing, ISPDC 2012 | Year: 2012

The elasticity and scalability promised by the Cloud computing paradigm, intended mainly for the new Web 2.0 applications, attracts also legacy applications owners. The migration of legacy applications towards Cloud is a complex process and only few tools and platforms are available to assist the applications' owners in this process. This paper explains the challenges that arise in the migration process of legacy applications and also exposes the solution offered by an open-source platform as a service, named mOSAIC, designed to deal with applications portability between Clouds. © 2012 IEEE.

Discover hidden collaborations