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The goal of the DiDiER project is to verifiably improve services in the field of dietary counselling. This will be achieved by digitising information to increase counselling intensity and to improve workflows for the service provider. The project will develop an IT-based support system for dietary counselling, covering two use cases, facilitation and support of the work of nutritionists in ambulatory...
In this paper, we address the problem of evaluating the aggregated services offered to the user through a multimodal travel planner. The effective design of a multimodal travel planner is considered a complex task since it requires the identification of the best possible route that combines segments of different transport modes. We describe a novel architecture and its respective connectivity infrastructure...
We introduce a strategic decision problem in a one-way electric car sharing system. We propose a mixed integer linear programming formulation for solving this problem. We conduct an extensive computational study to test the performance of our formulation and its relaxations by using real data instances. The results turn out to be encouraging for diving into more challenging extensions of the problem...
Novel nano-scale communications techniques are inspired by some naturally existing phenomena such as the molecular communication, neuro spike communication and controlling cellular signaling mechanisms. Among these, neuro-spike communication, which governs the communications between neurons, is a vastly unexplored area. In this paper, we assume a point-to-point communication model for neuro-spike...
When non second order circular (NSOC) signals are transmitted over time/frequency varying channels, classical linear equalization (LE) suffers from performance loss due to the signal's impropriety. For such signals, and signals corrupted by one single improper interference, it has been demonstrated that widely linear (WL) processing can enhance equalization performance. In this paper, we will study...
Protein sequence classification is increasingly crucial in the current “biological information sciences” epoch, where researchers hammer at functional genomics and proteomics technologies for predicting the function of large-scale new proteins. This has sparked interest in the methods which do not rely on traditional sequence alignment, but prefer machine learning approaches. In this paper, we present...
As big data analytics frameworks are developing towards larger degrees of parallelism and shorter task durations to provide lower latency, millions of scheduling decisions per second pose a great challenge to centralized schedulers. Therefore, increasing efforts are devoted to the study of distributed scheduling approaches to avoid the throughput limitation of centralized designs. Among these approaches,...
Software-defined networks (SDN) are vulnerable to most of the attacks that traditional networks are vulnerable to. In addition, SDN has introduced new vulnerabilities through its unique architecture such as those related to the southbound and northbound controller interfaces. In this paper, we introduce a lightweight flow-based Intrusion Detection System (IDS) that periodically gathers statistical...
Mobile-edge cloud computing is a new cloud platform to provide pervasive and agile computation augmenting services for mobile devices (MDs) at anytime and anywhere by endowing ubiquitous radio access networks with computing capabilities. Although offloading computations to the cloud can reduce energy consumption at the MDs, it may also incur a larger execution delay. Usually the MDs have to pay cloud...
Organizations need process data in real time. Cloud Computing is a common choice but it presents high latency on data transfer. As an alternative to reduces the latency, Edge computing based on System-on-a-Chip systems (SoC-based systems) can retain part of the data processing, allowing resource sharing among multiple requests through the use of OS-level virtualization. In this work, we analyze the...
Nowadays, Edge computing allows to push the application intelligence at the boundaries of a network in order to get high-performance processing closer to both data sources and end-users. In this scenario, the Horizon 2020 BEACON project - enabling federated Cloud-networking - can be used to setup Fog computing environments were applications can be deployed in order to instantiate Edge computing applications...
Data outsourcing has become quite popular in recent years. While the rapid development of cloud storage service, it brings about many new security challenges. One of the biggest concerns with cloud data storage is that of data integrity at untrusted cloud servers. For example, when individual users store important data files in cloud servers, the data files may be damaged or corrupted because of cloud...
The core innovation in future 5G cellular networks-network slicing, aims at providing a flexible and efficient framework of network organization and resource management. The revolutionary network architecture based on slices, makes most of the current network cost models obsolete, as they estimate the expenditures in a static manner. In this paper, a novel methodology is proposed, in which a value...
This work proposes an approach based on Steiner trees to efficiently support multipoint communications in a multi-domain context, where each domain exposes a synthetic and aggregated view of its network. The approach that we propose is based on two pillars: The adoption of a topology aggregation of each domain's network as a Steiner tree and the use of a shortest path heuristic for the calculation...
Clinical summarization means the collection and synthesis of a patient's significant data, undertaken in order to support health-care providers in the process of patient care. Considering that medical information comes from multiple sources, a system for the automatic generation of problem lists could prove to be very effective in terms of saving time in the analysis of large amounts of medical data...
A novel and effective framework for the enhancement of low lighting images is proposed in this paper. The novel framework presents an optimized de-haze algorithm on inverted images to enhance the low-dynamic-range images which optimizes the complicated process of computing the parameters A and t(x). The improved gamma correction is used to enhance the image contrast for providing better visual performance...
Internet Exchange Points (IXPs) play a key role in the Internet architecture, enabling cost-effective connections among multiple autonomous systems (ASes). The management of IXP networks includes the activity of taking care of elephant flows; they represent a small number of the total flows of an IXP, but have high impact on the overall network traffic. Managing elephant flows involves adequate identification...
QoS provisioning for Audio-Video traffic in WLANs respecting different priorities was one of the reasons for introduction of the intra-AC prioritization service in the IEEE 802.11aa amendment. However, observations show that as the service is realized by each node independently, with worsening of transmission conditions both types of Video traffic are corrupted. To overcome this issue, basing on two...
In this paper, we propose the China-US international data placement laboratory (iDPL) based on an inter-continental testbed for data placement research. iDPL is able to support various data placement research due to its scalability and flexibility in deploying the experiments in the real network environment. The core design of iDPL leverages reliable workflow management and lightweight I/O protocol...
Big data analytics frameworks are developing towards larger degrees of parallelism and shorter task durations to achieve lower latency. Consequently, millions of scheduling decisions need to be made per second, which has posed a big challenge to today's centralized schedulers. Therefore, many researchers and enterprises turn to distributed scheduling approaches to avoid the throughput limitation of...
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