This research provides security and safety extensions to a blockchain based solution whose target is e-health. The Advanced Blockchain platform is extended with intelligent monitoring for security and machine learning for detecting patient treatment medication safety issues. For the reasons of stringent HIPAA, HITECH, EU-GDPR and other regional regulations dictating security, safety and privacy requirements, the e-Health blockchains have to cover mandatory disclosure of violations or enforcements of policies during transaction flows involving healthcare. Our service solution further provides the benefits of resolving the abnormal flows of a medical treatment process, providing accountability of the service providers, enabling a trust health information environment for institutions to handle medication safely, giving patients a better safety guarantee, and enabling the authorities to supervise the security and safety of e-Health blockchains. The capabilities can be generalized to support a uniform smart solution across industry in a variety of blockchain applications.

This paper presents our edge device centric architecture as a new system solution for internet e-Health objects interconnection and service delivery. The new approach was designed to enable new embedded health objects, to meet the growth in edge devices, to provide secure operations, as well as to establish a new e-Health interactive norms. It is going to enable the Internet of Things in the e-Health industry with diverse edge devices and embedded managed objects being integrated at the core interconnection.

This paper describes our blockchain architecture as a new system solution to supply a reliable mechanism for secure and efficient medical record exchanges. The Advanced Block-Chain (ABC) approach was designed to meet the demands in healthcare growth as well as in the new form of social interactive norms. It is going to revolutionize the e-Health industry with greater efficiency by eliminating many of the intermediates as we know them today.

As the e-Health world is geared up for a more efficient rollout of fast healthcare resources, we designed our new Rapid Delivery e-Health Service (RDeHS) platform, which not only streamlines standard conformance through emerging technologies in e-Health resources. This paper reports the evolution in our new architectural approach for the purpose of rapid development and deployment of e-Health services to reduce healthcare costs and enhance quality of care.

Caching is applied to provide requested documents or Web contents quickly from a short memory. We consider the Cluster Caching Rule policy proposed recently by Markovich [12]. The idea of the rule is to keep only highly popular contents in the cache. Due to dependency in the inter-request process and heavy-tail distributed inter-request times, such frequently requested documents arise in clusters of popularity. The corresponding clusters of documents are loaded in the cache. If the requested document is present in the previous cluster, then it stays further in the cache. Otherwise, it is evicted from the cache. A mixture of m-dependent Markov and Poisson renewal processes is proposed as example of an inter-request time model. We present the hit/miss probabilities of such caching policy and consider cache size estimation.

This HealthCom short paper reports our new lab approach in the Smart and Connected e-Health Services (SCeHS). It summarizes the architecture and platform plan, the functional resources, and the application flows enablement SDN, connected via data virtualization and exchange protocols, for the purpose of e-Health service development and deployment.

The success of peer-to-peer live video streaming in wireline networks has inspired the development of mobile peer-to-peer streaming technologies. However, the traditional peer-to-peer live streaming techniques have been found to perform sub-optimal in wireless networks. Furthermore, the increasing energy consumption in wireless networks due to inefficient communication protocols has resulted in the need to develop greener, more energy efficient communication solutions. Therefore, we present Unwired, an OMNet++ based simulator for the development of mobile peer-to-peer live video streaming techniques. We have built upon the DenaCast simulation framework for peer-to-peer live streaming to include wireless peers. The major contributions to the existing framework are in the form of introducing mobility on the wireless peers, enabling hand-offs for the mobile peers and providing a power component on each mobile peer to monitor the energy consumption by the peers during video streaming. We simulate a hybrid network including both wireline and wireless peers and study the similarities and differences in the performance of the two types of peers. Finally, we explain the utility of the power component in the future development of energy efficient communication protocols for wireless networks.

The proliferation of smart devices for mobile networks is a major traffic generator nowadays. These devices provide the ability to receive media content in nearly every situation. Despite that video streaming in high quality is getting more and more popular in mobile scenarios, the performance and bottlenecks of mobile applications over wireless networks, especially, during the transmission of media streams, are poorly understood yet. In order to tackle this new challenge, we present an Android based framework to capture the relevant wireless network behavior, geo-coordinates and packet traces for popular streaming applications on Android certified devices. A dataset has been obtained by measurement trials, which have been performed in a 3G network for both HTTP and peer-to-peer video streaming applications. The trials comprise also an additional WiFi measurement for comparison purposes. The presented dataset enables future research to determine the quality of service and network characteristics of different streaming methodologies, which are affected by the typical conditions encountered in wireless networks, like hand-over effects, signal fading, connection losses etc. We hope that both, the presented dataset and the framework, may prove to be useful for the traffic measurement and the multimedia research communities.

The amount of mobile video streaming traffic is rapidly growing and a potential candidate to reduce the load on the content delivery infrastructure is given by the peer-to-peer (P2P) paradigm. One might argue about the adequacy of P2P in this mobile context, yet, it has already become reality. Popular P2P streaming networks like SopCast or TVU networks have recently deployed their apps for mobile devices. In this paper the current state of a location-aware measurement framework is presented, which was mainly developed to evaluate P2P systems in cellular networks. We use our generic framework to present the first measurement study that investigates the behavior of the popular P2P video streaming application SopCast when it is operating in a UMTS High Speed Packet Access (HSPA) network and compare the results with reference Ethernet measurements. The aim of this study is to discover the impact of cellular networks and user mobility on the performance of such P2P applications. In particular we could observe that as consequence some of the drawbacks are characterized by poor connectivity among peers and negligible upload contributions.

The research efforts for a national eHealth interconnection infrastructure and design guidelines are in great demand. This paper identifies the major challenges in eHealth interconnection network services that are critical to universal deployment. An overview of our solutions framework is summarized with the aspects of interconnection services, operational management services, and security control services.

In this paper, we present a first analysis of the application of Raptor codes in the domain of P2P streaming. With the help of fountain codes, such as Raptor codes, it is possible to completely omit content reconciliation in P2P networks. Hereby, the scheduling complexity of the data dissemination is greatly reduced. The contributions of the paper are the following: First, we present our implementation of the Raptor code used in the performed experiments and elaborate the application of the Raptor code in the scenario of P2P streaming. Second, we investigate the choice of the prevalent parameters, necessary to achieve the best trade-off between performance, computational complexity and resilience of the Raptor code. We use the obtained results to evaluate the general feasibility of using Raptor codes to improve the performance of P2P streaming networks. In addition, we report some insights arising from the practical experience with Raptor codes.

The extensive growth of peer-to-peer video applications (P2PTV) indicates the evolutionary path towards the next generation of networking. To enhance the quality of experience for P2PTV users, new P2P video traffic models are required. These models are often developed by measurement-driven performance modeling based upon statistical analysis. However, this type of analysis can be a challenging task, due to the complexity and especially, with large sample sizes, the sheer quantity of the data. For this reason, preliminary data examination by graphical means and appropriate visualization techniques can be of great value. In this paper, the versatile network traffic analyzer Atheris will be introduced. It is an essential part of a comprehensive traffic measurement and analysis concept to cope with the rapid deployment of P2PTV applications and their overlay structures. Atheris has been designed specially for measuring P2P applications and for visualizing their inherent properties. As a part of its functionality, Atheris performs traffic measurements at the packet layer, data extraction, flow analysis and enables the visual inspection of statistical characteristics. Furthermore, an evaluation of overlay structures by bandwidth estimation techniques and an overview of the statistical P2P traffic features are provided.

We consider measurements that are arising from a next generation network and present advanced mathematical techniques to cope with the analysis and modeling of the gathered data. These statistical techniques are required to study important performance indices of new real-time services in a multimedia Internet such as the demanded bandwidth or delay-loss profiles of packet flows during a session. The latter data sets incorporate strongly correlated or long-range dependent time series and heavy-tailed marginal distributions determining the underlying random variables of the data features. To illustrate the proposed statistical analysis concept, we use traces arising from the popular peer-to-peer video streaming application SopCast.

Currently, the rapid development of new multimedia services including VoIP, video streaming and video on demand as well as IPTV and the integration of triple play into the service portfolios of ISPs and network operators indicate an evolutionary path towards next generation networking. Peer-topeer (P2P) overlay networks are used with growing intensity to implement the content dissemination and control planes of many new portals and their multimedia service components like GoalBit, Zattoo, PPLive, SopCast, Voddler or Skype. However, despite intensive measurement campaigns (cf. [3], [4] among others), publicly available integrated systems to monitor streaming traffic in such networks and to analyze its features are rarely provided yet. The presented JAVA tool Atheris constitutes an approach to overcome this deficiency.

A dynamic window model is developed which provides admission control for circuit switched networks through the signaling network. This model incorporates distributed processing while achieving desired global congestion control effects. It reflects the interaction between the circuit switched path in the telephone network and the packet switched path in the signaling network. The model is solved by applying the concept of parametric analysis to study the whole circuit switching subnetwork as a composite server. The variant service rate is derived for the composite server of the circuit switch trunk in the context of a closed chain where the arrival of call services is finite. To avoid overflow and combinatorial complex problems, the computation is reduced to the Erlang recursive form. Mean value analysis formulas are derived for the model. Examples are given to demonstrate the validation of the analysis.>

The authors describe a computational approach for modeling and analyzing modern communication systems based on numerical methods for Markov chains. Advanced direct and iterative procedures for the calculation of the stationary distribution of a homogeneous discrete- or continuous-time Markov chain with finite state space are presented. They are implemented in a convenient software tool called MACOM for interactive modeling and performance evaluation of communication systems. MACOM provides the user with a predefined markovian model world describing modern telecommunication networks with adaptive routing schemes and advanced congestion-control mechanisms. The versatility of these algorithms is illustrated by their application to Markovian queuing models derived from telecommunications networks.>