Neben einer reibungslosen Entwicklung ist ein kontinuierliches Deployment, d. h. Bereitstellen Ihrer App für Tester und Kunden, extrem wichtig. Nur durch Continuous Integration und Development können Sie schnell Feedback zu Änderungen erhalten und Ihre App auf Herz und Nieren testen. Beim Testen Ihrer App, einem zentralen Pfeiler der Qualitätssicherung, sollten Sie auf eine Kombination von manuellen und automatisierten Verfahren setzen. Sobald Sie Ihre App in den Stores präsent haben, sollten Sie auf ein professionelles Cross-Plattform Management setzen, um den Auftritt Ihrer App auf den verschiedenen Plattformen einheitlich zu gestalten. Setzen Sie hier auf die richtigen Tools und Prozesse, um bei diesem wichtigen Schritt nicht den Überblick zu verlieren. Regelmäßige Release- und Updatezyklen können bei manuellen Prozessen schnell zum Zeit- und Kostenfresser werden.

Um schnell Feedback zu Ihren wichtigsten Kernhypothesen zu bekommen, ist es essenziell, einen Prototyp zu erstellen. In einem ersten Schritt „materialisieren“ Sie die App mittels User-Stories, User-Flows und Wireframes. So entstehen die ersten wichtigen Bausteine der App. Diese können dann durch potenzielle Kunden und Nutzer getestet werden. Mit Hilfe der iterativen Produktentwicklung und des „Build, Measure, Learn“-Zyklus wird die App stetig weiterentwickelt. Dabei ist ein tiefes Verständnis der Kundenbedürfnisse ebenso eine zentrale Grundlage wie die stetige Adaption und Weiterentwicklung der App-Idee.

While more and more services become virtualized and always accessible in our society, laboratories supporting computer science (CS) lectures have mainly remained offline and class-based. This apparent abnormality is due to several limiting factors, discussed in the literature, such as the high cost of deploying and maintaining computer network testbeds and the lack of standardization for the presentation of eLearning platforms. In this paper, we present the FORGE toolkit, which leverages experimentation facilities currently deployed in international initiatives for the development of e-learning materials. Thus, we solve the institutional challenge mentioned in the ACM/IEEE 2013 CS curricula concerning the access and maintenance of specialized and heterogeneous hardware thanks to a seamless integration with the networking test-bed community. Moreover, this project builds an ecosystem, where teaching and educational materials, tools, and experiments are available under open scheme and policies. We demonstrate how it already meets most of the requirements from the network and communication component of CS 2013 and some of the labs of the Cisco academy. Finally, we present experience reports illustrating the potential benefits of this framework based on the first deployments in four post-graduate courses in prestigious institutions around the world.

Experimental platforms (testbeds) play a significant role in the evaluation of new and existing technologies. Their popularity has been raised lately as more and more researchers prefer experimentation over simulation as a way for acquiring more accurate results. This imposes significant challenges in testbed operators since an efficient mechanism is needed to manage the testbed's resources and provision them according to the users' needs. In this paper we describe such a framework which was implemented for the management of networking testbeds. We present the design requirements and the implementation details, along with the challenges we encountered during its operation in the NITOS testbed. Significant results were extracted through the experiences of the every day operation of the testbed's management.

In addition to theoretical analysis and simulations, the evaluation of new networking technologies in a real-life context and scale is critical to their global adoption and deployment. Federations of experimental platforms (aka testbeds) offer a controlled and cost-effective solution to perform such an evaluation. Most recent efforts in that area focused on building those facilities and providing experimenters with tools to allow the discovery and provisioning of their shared resources. Many challenges remain in order to support the complete experiment life cycle in a federated environment.We propose OMF-F, a framework which allows the definition of networking experiments and their execution over shared resources provided by different federated administrative domains. OMF-F provides a domain-specific language enabling rich event-based experiment descriptions. It defines a specific resource model and protocol, which together with its publish-subscribe messaging system allows automatic experiment orchestrations at a large scale. OMF-F further provides interfaces to operate with existing resource discovery and provisioning tools for federated testbeds.Our contributions in this paper are threefold. First we provide detailed descriptions of OMF-F's design, its architecture, and its involved entities. Then, we present a quantitative evaluation of its underlying messaging and event-handling systems. Finally, we discuss two real examples of OMF-F deployed and used on federated domains to define and execute experiments. (C) 2014 Elsevier B.V. All rights reserved.

Nachdem Sie nun die Chancen, Möglichkeiten und Risiken von Onlinepräsentationen kennengelernt haben, fragen Sie sich jetzt bestimmt: „Womit kann ich denn überhaupt eine Onlinepräsentation machen?“ Wie funktioniert eine Onlinepräsentation überhaupt technisch und welche Voraussetzungen gibt es? Dieses Kapitel beschäftigt sich ausführlich mit den technischen Gegebenheiten. Zuerst klären wir ein paar grundlegende Begriffe und welche Art von Software man für Webinare benötigt. Dann schauen wir uns an, wie Sie Onlinepräsentationen durchführen können, welche Softwareanbieter und Programme auf dem Markt vorhanden sind und was es für verschiedene Unterscheidungskriterien für diese gibt. Im dritten Teil lernen wir dann die verschiedenen Grundfunktionen von Onlinepräsentationen kennen.

Experimental research on future Internet technologies involves observing multiple metrics at various distributed points of the networks under study. Collecting these measurements is often a tedious, repetitive and error prone task, be it in a testbed or in an uncontrolled field experiment. The relevant experimental data is usually scattered across multiple hosts in potentially different formats, and sometimes buried amongst a trove of other measurements, irrelevant to the current study. Collecting, selecting and formatting the useful measurements is a time-consuming and error-prone manual operation.In this paper, we present a conceptual Software-Defined Measurement (SDM) framework to facilitate this task. It includes a common representation for any type of experimental data, as well as the elements to process and collect the measurement samples and their associated metadata. We then present an implementation of this concept, which we built as a major extension and refactoring of the existing Orbit Measurement Library (OML). We outline its API, and how it can be used to instrument an experiment in only a few lines of code. We also evaluate the current implementation, and demonstrate that it efficiently allows measurement collection without interfering with the systems under observation. (C) 2014 Elsevier B.V. All rights reserved.

While most existing video summarization approaches aim to identify important frames of a video from either a global or local perspective, we propose a top-down approach consisting of scene identification and scene summarization. For scene identification, we represent each frame with global features and utilize a scalable clustering method. We then formulate scene summarization as choosing those frames that best cover a set of local descriptors with minimal redundancy. In addition, we develop a visual word-based approach to make our approach more computationally scalable. Experimental results on two benchmark datasets demonstrate that our proposed approach clearly outperforms the state-of-the-art.

GENI, the Global Environment for Networking Innovation, is a distributed virtual laboratory for transformative, at-scale experiments in network science, services, and security. Designed in response to concerns over Internet ossification, GENI is enabling a wide variety of experiments in a range of areas, including clean-slate networking, protocol design and evaluation, distributed service offerings, social network integration, content management, and in-network service deployment. Recently, GENI has been leading an effort to explore the potential of its underlying technologies, SDN and GENI racks, in support of university campus network management and applications. With the concurrent deployment of these technologies on regional and national R&E backbones, this will result in a revolutionary new national-scale distributed architecture, bringing to the entire network the shared, deeply programmable environment that the cloud has brought to the datacenter. This deeply programmable environment will support the GENI research mission and as well as enabling research in a wide variety of application areas.

We introduce Moana, an information-centric middleware service for distributed applications. Moana offers a shared persistent graph-based abstraction through which applications can communicate with each other by extending and observing the shared graph. This paper describes the Moana service model as well as discusses the design goals and challenges for such a middleware to be a viable and competitive alternative to current practice.

The constantly increasing diversity of the infrastructure used to deliver Internet services to the end user has created a demand for experimental network facilities featuring heterogeneous resources. Therefore, federation of existing network testbeds has been identified as a key goal in the testbed community, leading to a recent activity burst in this research field. In this paper, we present a federation scheme that was built during the Onelab 2 EU project. This scheme federates the NITOS wireless testbed with the wired PlanetLab Europe testbed, allowing researchers to access and use heterogeneous experimental facilities under an integrated environment. The usefulness of the resulting federated facility is demonstrated through the testing of an implemented end-to-end delay aware association scheme proposed for wireless mesh networks. We present extensive experiments under both wired congestion and wireless channel contention conditions that demonstrate the effectiveness of the proposed approach in realistic settings. The experiments are also reproduced in a well-established network simulator and a comparative study between the results obtained in the realistic and simulated environments is presented. Both the architectural building blocks that enable the federation of the testbeds and the execution of the experiment on combined resources, as well as the important insights obtained from the experimental results are described and analyzed, pointing out the importance of integrated experimental facilities for the design and development of the Future Internet.

The ability to repeat the experiments from a research study and obtain similar results is a corner stone in experiment-based scientific discovery. This essential feature has been often ignored by the distributed computing and networking community. There are many reasons for that, such as the complexity of provisioning, configuring, and orchestrating the resources used by experiments, their multiple external dependencies, and the difficulty to seamlessly record these dependencies. This paper describes a methodology based on well-established principles to plan, prepare and execute experiments. We propose and describe a family of tools, the LabWiki workspace, to support an experimenter's workflow based on that methodology. This proposed workspace provides services and mechanisms for each step of an experiment-based study, while automatically capturing the necessary information to allow others to repeat, inspect, validate and modify prior experiments. Our LabWiki workspace builds on existing contributions, and de-facto protocol and model standards, which emerged from recent experimental facility initiatives. We use a real experiment as a thread to guide and illustrate the discussion throughout this paper.

In this paper, we introduce the Moana network infrastructure. It draws on well-adopted practices from the database and software engineering communities to provide a robust and expressive information-sharing service using hypergraph-based network indirection. Our proposal is twofold. First, we argue for the need for additional layers of indirection used in modern information systems to bring the network layer abstraction closer to the developer's world, allowing for expressiveness and flexibility in the creation of future services. Second, we present a modular and extensible design of the network fabric to support incremental architectural evolution and innovation, as well as its initial evaluation.

This paper presents a case for the adoption of an information-centric architecture for a global disaster management system. Drawing from a case study of the 2010/2011 Queensland floods, we describe the challenges in providing every participant with relevant and actionable information. We use various examples to argue for a more flexible information dissemination framework which is designed from the ground up to minimise the effort needed to fix the unexpected and unavoidable information acquisition, quality, and dissemination challenges posed by any real disaster.