This paper addresses the problem of managing highly dynamic network and service environments, where virtual nodes and virtual links are created and destroyed depending on traffic volumes, service requests, or high-level goals such as reduction in energy consumption. This problem will be one of the main technical challenges to be faced in the evolution towards Future Networks (FN). Emerging paradigms such as Software Defined Networks (SDN) and Network Function Virtualization (NfV) are concrete steps towards infrastructures where network functions and services will be executed as applications in ensembles of virtual machines (VMs) hosted in pervasive standard hardware resources located across a network. The paper argues that in order to manage these virtual infrastructures there is a need to introduce high-level systems orchestration. The paper describes an architecture based on an orchestrater that ensures the automatic placement of the virtual nodes and the allocation of network services on them, supported by a monitoring system that collects and reports on the behaviour of the resources. The orchestrater manages the creation and removal of the virtual nodes, as well as configuring, monitoring, running and stopping software on them. As a proof of these concepts, a distributed orchestrater prototype has been designed, implemented and tested with the results of different placement algorithms presented. �� 2014 IEEE

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Analysis and simulation of complex systems are facilitated by the availability of appropriate modeling formalisms and tools. In many cases, no single analysis and modeling method can successfully cope with all aspects of a complex system: a multi-formalism multisolution approach is very appealing, since it offers the possibility of applying the most suitable formalisms and solution techniques to model and analyze different components or aspects of a system. Another important feature that a successfull modeling approach should include is the possibility of reusing (sub)models: by composing parameterized submodels and then instantiating the parameters, complete models of different scenarios can be obtained and analyzed. This paper introduces an innovative approach to multi-formalism modeling of systems that is part of the OsMoSys (Object-based multi-formaliSm MOdeling of SYStems) framework. OsMoSys uses the proposed modeling approach to build multi-formalism models, and workflow management to achieve multi-solution. Our modeling approach is based on meta-modeling, allowing to easily define and integrate different formalisms, and on some concepts from object orientation. Its main objectives are the interoperability of different formalisms and the definition of mechanisms to guarantee the flexibility and the scalability of the modeling framework.

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