resources should be distributed, overlay management services should be unbundled and run in their own slices, and APIs should be designed to promote application development. We believe a testbed that supports these design principles will facilitate the emergence of a new service-oriented network

We present a new approach for modeling multi-modal data sets, focusing on the specific case of segmented images with associated text. Learning the joint distribution of image regions and words has many applications. We consider in detail predicting words associated with whole images (auto

myopic policies are shown to optimize system performance. We then describe key lessons learned and the main obstacles in extending the work to general resource allocation problems for multi-hop wireless networks. Towards this end, we show that a clean-slate optimization based approach to the multi

complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. We also survey several

Metamodel evolution poses a threat to the applicability of Model-Driven Development to large scale projects. The problem is caused by incompatibilities between metamodel revisions. These render models that conform to the older version of the metamodel non-conformant to the newer version

embedded systems (which will also probably be required in the near future for Information Systems as application of Basel II kind of agreements). This paper presents different means to specify models semantics at the metamodel level. We will focus on the definition of executable SPEM-based development

The multi-agent systems approach of knowledge level co-operation between autonomous agents promises significant benefits to distributed systems engineering, such as enhanced interoperability, scalability and reconfigurability. However, thus far, because of the innate difficulty of constructing

preparatory or approach behavior toward the reward. In Pavlovian conditioning, subjects automatically show nonconsummatory behavioral reactions that would otherwise occur after the primary reward and that increase the chance of consuming the reward, as if a part of the behavioral response has been transferred

Distributed Constraint Optimization (DCOP) is an elegant formalism relevant to many areas in multiagent systems, yet complete algorithms have not been pursued for real world applications due to perceived complexity. To capably capture a rich class of complex problem domains, we introduce

Conflict resolution is a critical problem in distributed and collaborative multi-agent systems. Negotiation via argumentation (NVA), where agents provide explicit arguments or justifications for their proposals for resolving conflicts, is an effective approach to resolve conflicts. Indeed, we