Mediator-assisted multi-source routing in information-centric networks

Among the new communication paradigms recently proposed, information-centric networking (ICN) is able to natively support content awareness at the network layer shifting the focus from hosts (as in traditional IP networks) to information objects. In this paper, we exploit the intrinsic content-awareness ICN features to design a novel multi-source routing mechanism. It involves a new network entity, the ICN mediator, responsible for locating and delivering the requested information objects that are chunked and stored at different locations. Our approach imposes very limited signalling overhead, especially for large chunk size (MBytes). Simulations show significant latency reduction compared to traditional routing approaches

Scalable bloom-filter based content dissemination in community networks using information centric principles

Information-Centric Networking (ICN) is a new communication paradigm that shifts the focus from content location to content objects themselves. Users request the content by its name or some other form of identifier. Then, the network is responsible for locating the requested content and sending it to the users. Despite a large number of works on ICN in recent years, the problem of scalability of ICN systems has not been studied and addressed adequately. This is especially true when considering real-world deployments and the so-called alternative networks such as community networks. In this work, we explore the applicability of ICN principles in the challenging and unpredictable environments of community networks. In particular, we focus on stateless content dissemination based on Bloom filters (BFs). We highlight the scalability limitations of the classical single-stage BF based approach and argue that by enabling multiple BF stages would lead to performance enhancements. That is, a multi-stage BF based content dissemination mechanism could support large network topologies with heterogeneous traffic and diverse channel conditions. In addition to scalability improvements, this approach also is more secure with regard to Denial of Service attacks

Finding needles in haystacks: linking scientific names, reference specimens and molecular data for Fungi

DNA phylogenetic comparisons have shown that morphology-based species recognition often underestimates fungal diversity. Therefore, the need for accurate DNA sequence data, tied to both correct taxonomic names and clearly annotated specimen data, has never been greater. Furthermore, the growing number of molecular ecology and microbiome projects using high-throughput sequencing require fast and effective methods for en masse species assignments. In this article, we focus on selecting and re-annotating a set of marker reference sequences that represent each currently accepted order of Fungi. The particular focus is on sequences from the internal transcribed spacer region in the nuclear ribosomal cistron, derived from type specimens and/or ex-type cultures. Re-annotated and verified sequences were deposited in a curated public database at the National Center for Biotechnology Information (NCBI), namely the RefSeq Targeted Loci (RTL) database, and will be visible during routine sequence similarity searches with NR_prefixed accession numbers. A set of standards and protocols is proposed to improve the data quality of new sequences, and we suggest how type and other reference sequences can be used to improve identification of Fungi

Localisation of passenger experience through digital channels

International air transport is growing rapidly, with 2 million international passengers flying every day. Airlines must provide innovative and differentiated services, which are based on local culture and behaviours, and tailored to passengers’ needs and desires. However, behavioural studies in the airline industry are still absent from both academia and the field. Hence, this case study investigates the following research question: What are the opportunity areas to localise airline services in the Korean market, while maintaining the cultural identity of the airline as a crucial part of the travel experience? The main focus of this master’s thesis is a case study of a Finnish airline company targeting the Korean market. The study derives insights through the application of service design methods and tools based on a passenger-centric approach. In total, 21 insights were obtained from Korean travellers and the diverse internal stakeholders of the company in South Korea and Finland. The research reveals that understanding local behaviours should play a role in the design of international airline services, since travellers experience contrasts between Finnish and Korean culture. While the airline exhibits Finnish cultural elements, the targeted passengers have different mindsets and behaviours. The research findings suggest three potential themes: Nordic experience, communication and learning, and accessibility and visibility. Under those themes, the study creates 16 job stories highlighting strategic areas for Korean passengers as customers and 15 job stories for the cabin crew as the ‘enablers’. These strategic areas are prioritised and evaluated by managerial employees in the company through the jobs-to-be-done prioritisation matrix. As the outcome of the project, this study proposes strategic areas for localising passenger experiences in addition to business goals. The conclusion recommends that behavioural studies of various regional markets should be conducted individually because behaviours of passengers from different markets appear to be distinctive. However, the approach to crew training should be scaled and implemented nationally or regionally, depending on the market size. By further investigating the suggested strategic areas, the passenger experience of the target country could be improved, and consequently, more international customers onboarding could be acquired.Son, Jiyoun

Content Delivery Latency of Caching Strategies for Information-Centric IoT

In-network caching is a central aspect of Information-Centric Networking (ICN). It enables the rapid distribution of content across the network, alleviating strain on content producers and reducing content delivery latencies. ICN has emerged as a promising candidate for use in the Internet of Things (IoT). However, IoT devices operate under severe constraints, most notably limited memory. This means that nodes cannot indiscriminately cache all content; instead, there is a need for a caching strategy that decides what content to cache. Furthermore, many applications in the IoT space are timesensitive; therefore, finding a caching strategy that minimises the latency between content request and delivery is desirable. In this paper, we evaluate a number of ICN caching strategies in regards to latency and hop count reduction using IoT devices in a physical testbed. We find that the topology of the network, and thus the routing algorithm used to generate forwarding information, has a significant impact on the performance of a given caching strategy. To the best of our knowledge, this is the first study that focuses on latency effects in ICN-IoT caching while using real IoT hardware, and the first to explicitly discuss the link between routing algorithm, network topology, and caching effects.Comment: 10 pages, 9 figures, journal pape

On the first South American species of the genus Anasaitis Bryant, 1950 (Aranei: Salticidae: Salticinae: Euophryini) from Cartagena, Colombia

A new species - Anasaitis champetera sp.n. (Salticidae: Salticinae: Euophryini), the first species of the genus Anasaitis Bryant, 1950 from South America - is described of the basis of both sexes collected from Cano del Oro, Tierra Bomba island, Cartagena (Bolivar), Colombia.Peer reviewe