Abstract-The requirement for flexible operation is becoming increasingly important in modern industrial systems. This requirement has to be supported at all system levels, including the field level in process industry, as well as the cell and machine control levels in manufacturing industry, where fieldbus-based communication systems are commonly found. Furthermore, typical applications at these levels require both time-and event-triggered communication services, in most cases under stringent timing constraints, to convey state data in the former case and alarms and management data in the latter.

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Abstract-Ethernet was not originally developed to meet the requirements of real-time industrial automation systems and it was commonly considered unsuited for applications at the field level. Hence, several techniques were developed to make this protocol exhibit real-time behavior, some of them requiring specialized hardware, others providing soft-real-time guarantees only, or others achieving hard real-time guarantees with different levels of bandwidth efficiency. More recently, there has been an effort to support quality-of-service (QoS) negotiation and enforcement but there is not yet an Ethernet-based data link protocol capable of providing dynamic QoS management to further exploit the variable requirements of dynamic applications. This paper presents the FTT-Ethernet protocol, which efficiently supports hard-real-time operation in a flexible way, seamlessly over shared or switched Ethernet. The FTT-Ethernet protocol employs an efficient master/multislave transmission control technique and combines online scheduling with online admission control, to guarantee continued real-time operation under dynamic communication requirements, together with data structures and mechanisms that are tailored to support dynamic QoS management. The paper includes a sample application, aiming at the management of video streams, which highlights the protocol's ability to support dynamic QoS management with real-time guarantees.

We consider spherical jellium clusters with up to 200 electrons as a testing ground for density functional approximations to the exchange-correlation energy of a many-electron ground state. As nearly-exact standards, we employ Hartree-Fock energies at the exchange-only level and the diffusion Monte Carlo ͑DMC͒ energies of Sottile and Ballone ͑2001͒ at the correlated level. The density functionals tested are the local spin density ͑LSD͒, generalized gradient ͑GGA͒, and meta-generalized gradient ͑meta-GGA͒ approximations; the latter gives the most accurate results. By fitting the deviation from the LSD energy of closed-shell clusters to the predictions of the liquid drop model, we extract the exchange-correlation surface energies and curvature energies of a semi-infinite jellium from the energies of finite clusters. For the density functionals, the surface energies so extracted agree closely with those calculated directly for a single planar surface. But for the diffusion Monte Carlo method, the surface energies so extracted are considerably lower ͑and we suspect more accurate͒ than those extrapolated by Acioli and Ceperley ͑1996͒ from their DMC supercell calculations. The errors of the LSD, GGA, and meta-GGA surface and curvature energies are estimated, and are found to be consistently small for both properties only at the meta-GGA level. These errors are qualitatively related to relative performances of the various density functionals for the calculation of atomization energies: the proper self-interaction correction to the LSD for a one-electron atom is in the curvature energy ͑as it is in meta-GGA͒, not in the surface energy ͑as it is in GGA͒. Additionally, a formula is given for the interpolation and extrapolation of the surface energy xc as a function of the bulk density parameter r s .

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Software Defined Networks (SDN) have become a new way to make dynamic topologies. They have great potential in both the creation and development of new network protocols and the inclusion of distributed artificial intelligence in the network. There are few emulators, like Mininet, that allow emulating a SDN in a single personal computer, but there is lack of works showing its performance and how it performs compared with real cases. This paper shows a performance comparison between Mininet and a real network when multimedia streams are being delivered. We are going to compare them in terms of consumed bandwidth (throughput), delay and jitter. Our study shows that there are some important differences when these parameters are compared. We hope that this research will be the basis to show the difference with real deployments when Mininet is used.Keywords: Multimedia delivery; Multimedia streaming; Software Defined Networks (SDNs); Mininet.www.macrothink.org/npa 37 Network Protocols and Algorithms ISSN 1943-3581 2015 IntroductionDue to the substantial improvement in terms of hardware and software for computer networks and also the number of network devices available around the world, the interconnections of devices as well as the network complexity have increased. This fact has also enhanced the way we currently process the information transmitted through the network. Over the past 30 years, the Internet Engineering Task Force (IETF) has developed and built around 5500 Request for Comments (RFC) [1]. Nowadays, Internet and other networks are able to offer huge amount of functionalities suited to the requirements of users.In general, network devices perform two main functions, i.e., the transport function and the control function. On the one hand, the transport function (data plane) that is in charge of sending data through the routes previously calculated. This function is normally performed by specialized circuits known as Application Specific Integrated Circuits (ASICs). The control function (control plane) manages the transport operation thanks to the exchanged information between network devices and the calculation of optimal routes. This allows each device to independently treat the traffic. Network administrators have available few resources to manage and increase the efficiency of the data flows.A professional of networks often finds a big challenge the fact of configuring a network and installing the needed network elements to work properly. Due to the services and the features required by the applications currently require, it is possible to increase the network efficiency if we try to manage jointly the entire network. In this way, there appears the need of developing a new technology to reduce the costs and increase the efficiency by automating policy-based flows.Software-Defined networking (SDN) is a new approach for designing, building, and managing networks that separates the network's control and forwarding planes of a better network optimization [2]. The SDN architecture decouples the netw...

For the surface energy of jellium at alkali-metal densities, the local-density approximation ͑LDA͒ and more advanced density-functional methods disagree strongly with the wave-function-based Fermi hypernetted-chain and diffusion Monte Carlo methods. We present a wave-vector interpolation correction to the generalized gradient approximation which gives jellium surface energies consistent with two other estimates based on advanced density functionals. LDA makes compensating errors at intermediate and small wave vectors. Studies of small jellium clusters also support the density-functional estimate for the jellium surface energy.