3rd Party Service Providers Research Articles

Determination and Metrics for Emerging Risks Identification DEMETER: Final Report

Identification of emerging risks in the food chain is essential if EFSA is to anticipate future needs in risk assessment, in relation to both data and methodology. The objectives and research proposed in the DEMETER project were specifically designed to support current (and future) EFSA procedures for emerging issue and risks identification by providing community resourcesto allow EFSA and EU Member State authorities to share data, knowledge and methods on emerging risks identification in a rapid and effective manner through a digital platform. To this end, an “Emerging Risk Knowledge Exchange Platform (ERKEP)” was developed as a prototype technical solution. Its design is based on a consultation on end‐users needs and the analysis of existing knowledge sharing solutions. ERKEP consists of three main components: 1) A content management system (CMS) providing the end‐user's “entry point” and Graphical User Interface (GUI) to ERKEP; 2) A web‐based data analytics platform (DAP) for sharing and executing data analytics workflows (DAWs), based on the KNIME Server infrastructure; 3) External web‐based services hosted by 3rd party service providers. Different DAWs were developed and added to the platform, these are: 1) Emerging risk identification system for the milk supply chain based on automated data retrieval; 2) NewsRadar; 3)Trending topics in news based on text mining and network analysis, and;4) Patent network analysis. Methodologies were identified to integrate social science information and data, into the emerging risk identification framework. Systematic reviews of the literature wereconducted in the areas of expert elicitation, citizen science, and behavioural science and a framework to incorporate data from Citizen Science into the EKREP platform was proposed. Finally, sustainability and maintenance of the project's outputs were conceptualized to enable use thereof beyond project DEMETER.

Methodology: ssb-MASS: a single seed-based sampling strategy for marker-assisted selection in rice

BackgroundIntegrated breeding approaches such as combining marker-assisted selection and rapid line fixation through single-seed-descent, can effectively increase the frequency of desirable alleles in a breeding program and increase the rate of genetic gain for quantitative traits by shortening the breeding cycle. However, with most genotyping being outsourced to 3rd party service providers’ nowadays, sampling has become the bottleneck for many breeding programs. While seed-chipping as prevailed as an automatable seed sampling protocol in many species, the symmetry of rice seeds makes this solution as laborious and costly as sampling leaf tissue. The aim of this study is to develop, validate and deploy a single seed sampling strategy for marker-assisted selection of fixed lines in rice that is more efficient, cost-effective and convenient compared to leaf-based sampling protocols without compromising the accuracy of the marker-assisted selection results.ResultsEvaluations replicated across accessions and markers showed that a single rice seed is sufficient to generate enough DNA (7–8 ng/μL) to run at least ten PCR trait-markers suitable for marker-assisted selection strategies in rice. The DNA quantity and quality extracted from single seeds from fixed lines (F6) with different physical and/or chemical properties were not significantly different. Nor were there significant differences between single seeds collected 15 days after panicle initiation compared to those harvested at maturity. A large-scale comparison between single seed and leaf-based methodologies showed not only high levels of genotypic concordance between both protocols (~ 99%) but also higher SNP call rates in single seed (99.24% vs. 97.5% in leaf). A cost–benefit analysis showed that this single seed sampling strategy decreased the cost of sampling fourfold. An advantage of this approach is that desirable genotypes can be selected before investing in planting activities reducing the cost associated with field operations.ConclusionThis study reports the development of a cost-effective and simple single seed genotyping strategy that facilitates the adoption and deployment of marker-assisted selection strategies in rice. This will allow breeders to increase the frequency of favorable alleles and combine rapid generation advancement techniques much more cost-effectively accelerating the process and efficiency of parental selection and varietal development.

초고속 클라우드 비디오 서비스 실현을 위한 SDN 기반의 다중 무선접속 기술 제어에 관한 연구

본 논문은 최근 이동통신 네트워크에서 폭발적으로 증가하고 있는 비디오 트래픽이 야기한 문제와 요구사항의 해결책으로써, SDN(Software Defined Network)을 기반으로 하는 다중 무선 접속 기술(Multiple Radio Access Technology)의 제어 기법을 제안하고 그 성능을 자체 구축한 테스트베드를 통하여 평가한다. 이를 위하여, 먼저 사업자 입장에서 3rd-party의 비디오 트래픽을 사업자망으로부터 우회(off-loading)시키는 방안의 필요성과, 사용자에게 저비용으로 고속의 대용량 비디오 콘텐츠 서비스를 제공하는 방안에 대하여 논의한다. 또한 성능평가를 위한 테스트베드는 OpenStack 클라우드 및 SDN 기반으로 구축 하였다. 이를 통해, OpenFlow와 Open Switch를 이용하여 2개의 2.4GHz 무선 랜 링크와 3개의 5GHz 무선 랜 링크가 동시에 하나의 서비스를 지원하도록 함으로서 820 Mbps 급의 초고속 클라우드 비디오 서비스를 위한 전송 속도를 실현하였다. This paper proposed controlling methods for SDN(Software Defined Network) based multiple radio access technology as the solutions of following two issues which were mainly occurred by explosive increasing of video traffic. The first one is a requirement for traffic off-loading caused by 3rd-party video service providers from the mobile network operator's viewpoint. The other one is a provision of high-speed video contents transmission services with low price. Furthermore, the performance evaluation was also conducted on the real test-bed which is composed of OpenStack cloud and SDN technology such as OpenFlow and Open vSwitch. A virtual machine running on the OpenStack provide a video service and the terminal which is able to use multiple radio access technology supports two 2.4GHz WLANs(Wireless Local Area Network) and three 5GHz WLANs, concurrently. Finally, we can get 820Mbps of the maximum transmission speed by using that five WLAN links for the single service at the same time.

An agent-based hybrid service delivery for coordinating internet of things and 3rd party service providers

When smart embedded devices become widely used in business and industry, many applications and services will emerge in a new Internet of Things (IoT) ecosystem. This will initiate new business opportunities in providing these novel applications and services, which integrate efficiently IoT services into business applications. Because IoT takes the reference scenarios further in terms of scale and features offered, it requires the development of suitable, scalable and available service delivery platforms that permit multiple services to coexist between IoT and 3rd party service providers. However, service delivery over IoT infrastructures is a difficult challenge that requires specific new architecture and mechanisms. This paper proposes a system architecture of hybrid service delivery that enables 3rd party service providers to create, deploy, execute, orchestrate, and manage efficiently the running instances of IoT services. In particular, this work focuses on the design and implementation of: agent-based hybrid service exposure, a hybrid service ontology engine crawler, a service enablers container, service-oriented agent lifecycle management, and an agent-mediated service lifecycle coordinator for messages dispatching and transformation between hybrid service exposure and the service enablers container. More specifically, with smart home scenarios, experimental results show that agent-based service delivery approaches could successfully coordinate between IoT and 3rd party service providers.

Scenario based techno-business analysis of service platforms and their service portfolios

This work focuses on techno-business analysis of service platforms and service portfolios. Service platform (SP) hosts services and enabling service functionality. Service providers deliver two main products: end-user services to their customers and enablers to other business actors. 3rd party service providers combine enablers with their own functionality, wrap them in end-user services and deliver them to their customers. SPs are very complex systems technically as well as in user and business aspects. Ignoring or oversimplifying any aspect can decrease the realism and value of techno-business analyses. On the other side, including all the aspects would make the model too complex to be practically useful. We present in this paper a scenario-driven approach for techno-business modeling and analysis, which is sufficiently simple to be practical and complete enough to give realistic results. It is based on a generic service platform model (GSPM) (represented by ontology, structural and mathematical models) combined with scenario-based modeling of service portfolios and model-based mapping and projection techniques. It enables techno-business analysis at an early stage of service development to serve as a foundation for investment decisions. This analytical framework has been used in a series of practical cases. One of them, provision of mobile service bundles, is presented in this work. We discuss our experience and suggest future improvements in the proposed approach to model driven techno-business analysis.

Service-oriented Access to Next Generation Networks—from Service Creation to Execution

Existing telecommunication networks and classical roles of operators are subject to fundamental change. Many network operators are currently seeking for new sources to generate revenue by exposing network capabilities to 3rd party service providers. At the same time we can observe that services on the World Wide Web (WWW) are becoming mature in terms of the definition of APIs that are offered towards other services. The combinations of those services are commonly referred to as Web 2.0 mash-ups. Rapid service design and creation becomes therefore important to meet the requirements in a changing technology and competitive market environment. This report describes our approach to include Next Generation Networks (NGN)-based telecommunications application enabler into complex services by defining a service broker that mediates between 3rd party applications and NGN service enablers. It provides policy-driven orchestration mechanisms for service enablers, a service authorization functionality, and a service discovery interface for Service Creation Environments. The work has been implemented as part of the Open SOA Telco Playground testbed at Fraunhofer FOKUS.