JXTA-Overlay: a P2P platform for distributed, collaborative, and ubiquitous computing

With the fast growth of the Internet infrastructure and the use of large-scale complex applications in industries, transport, logistics, government, health, and businesses, there is an increasing need to design and deploy multifeatured networking applications. Important features of such applications include the capability to be self-organized, be decentralized, integrate different types of resources (personal computers, laptops, and mobile and sensor devices), and provide global, transparent, and secure access to resources. Moreover, such applications should support not only traditional forms of reliable distributing computing and optimization of resources but also various forms of collaborative activities, such as business, online learning, and social networks in an intelligent and secure environment. In this paper, we present the Juxtapose (JXTA)-Overlay, which is a JXTA-based peer-to-peer (P2P) platform designed with the aim to leverage capabilities of Java, JXTA, and P2P technologies to support distributed and collaborative systems. The platform can be used not only for efficient and reliable distributed computing but also for collaborative activities and ubiquitous computing by integrating in the platform end devices. The design of a user interface as well as security issues are also tackled. We evaluate the proposed system by experimental study and show its usefulness for massive processing computations and e-learning applications.Peer ReviewedPostprint (author's final draft

Efficient controlling of end-devices in a JXTA-based P2P platform and its application to online learning

The current Internet infrastructure is becoming each time more heterogeneous regarding computational resources. With the fast improvements in computational capabilities of devices, end-devices are becoming important components for the development of nowadays Internet applications. However, the integration of end-devices into Internet applications is a challenging task due to the intrinsic difficulties of current Internet architecture and protocols as well as computational limitations of end-devices. In this work, we address the issue of the efficient control of end-devices in a JXTA based P2P platform. We take advantage of P2P protocols in order to overcome the limitations of client/server architecture to enable the communication of peer nodes with devices despite of presence of NATs and firewalls. We consider as an end-device the SmartBox that is able to stimulate learners during their learning activity and thus increasing their learning efficiency and outcomes. We evaluate the proposed system by experimental study and show the usefulness of using SmartBox end-device in the development of e-learning applicationsPeer ReviewedPostprint (published version

Implementation of an e-learning system using P2P, web and sensor technologies

This work is motivated by the need to develop decentralized P2P approaches to support learning and teaching activity in virtual universities. In this paper, we present the implementation of the JXTA-based e-learning P2P system. We also show the design and implementation of a SmartBox environment that will be used for stimulating the learners to increase the learning efficiency. The proposed e-learning P2P system is a useful tool for monitoring and controlling learnerspsila activity. We evaluate the proposed system by experimental results and show that proposed system has a good performance. In the future, we aim to use it in real virtual campus environments.Peer ReviewedPostprint (published version

Peer-to-Peer File Sharing WebApp: Enhancing Data Security and Privacy through Peer-to-Peer File Transfer in a Web Application

Peer-to-peer (P2P) networking has emerged as a promising technology that enables distributed systems to operate in a decentralized manner. P2P networks are based on a model where each node in the network can act as both a client and a server, thereby enabling data and resource sharing without relying on centralized servers. The P2P model has gained considerable attention in recent years due to its potential to provide a scalable, fault-tolerant, and resilient architecture for various applications such as file sharing, content distribution, and social networks.In recent years, researchers have also proposed hybrid architectures that combine the benefits of both structured and unstructured P2P networks. For example, the Distributed Hash Table (DHT) is a popular hybrid architecture that provides efficient lookup and search algorithms while maintaining the flexibility and adaptability of the unstructured network.To demonstrate the feasibility of P2P systems, several prototypes have been developed, such as the BitTorrent file-sharing protocol and the Skype voice-over-IP (VoIP) service. These prototypes have demonstrated the potential of P2P systems for large-scale applications and have paved the way for the development of new P2P-based systems

Live Streaming in P2P and Hybrid P2P-Cloud Environments for the Open Internet

Peer-to-Peer (P2P) live media streaming is an emerging technology that reduces the barrier to stream live events over the Internet. However, providing a high quality media stream using P2P overlay networks is challenging and gives raise to a number of issues: (i) how to guarantee quality of the service (QoS) in the presence of dynamism, (ii) how to incentivize nodes to participate in media distribution, (iii) how to avoid bottlenecks in the overlay, and (iv) how to deal with nodes that reside behind Network Address Translators gateways (NATs). In this thesis, we answer the above research questions in form of new algorithms and systems. First of all, we address problems (i) and (ii) by presenting our P2P live media streaming solutions: Sepidar, which is a multiple-tree overlay, and GLive, which is a mesh overlay. In both models, nodes with higher upload bandwidth are positioned closer to the media source. This structure reduces the playback latency and increases the playback continuity at nodes, and also incentivizes the nodes to provide more upload bandwidth. We use a reputation model to improve participating nodes in media distribution in Sepidar and GLive. In both systems, nodes audit the behaviour of their directly connected nodes by getting feedback from other nodes. Nodes who upload more of the stream get a relatively higher reputation, and proportionally higher quality streams. To construct our streaming overlay, we present a distributed market model inspired by Bertsekas auction algorithm, although our model does not rely on a central server with global knowledge. In our model, each node has only partial information about the system. Nodes acquire knowledge of the system by sampling nodes using the Gradient overlay, where it facilitates the discovery of nodes with similar upload bandwidth. We address the bottlenecks problem, problem (iii), by presenting CLive that satisfies real-time constraints on delay between the generation of the stream and its actual delivery to users. We resolve this problem by borrowing some resources (helpers) from the cloud, upon need. In our approach, helpers are added on demand to the overlay, to increase the amount of total available bandwidth, thus increasing the probability of receiving the video on time. As the use of cloud resources costs money, we model the problem as the minimization of the economical cost, provided that a set of constraints on QoS is satisfied. Finally, we solve the NAT problem, problem (iv), by presenting two NAT-aware peer sampling services (PSS): Gozar and Croupier. Traditional gossip-based PSS breaks down, where a high percentage of nodes are behind NATs. We overcome this problem in Gozar using one-hop relaying to communicate with the nodes behind NATs. Croupier similarly implements a gossip-based PSS, but without the use of relaying

Peer-to-Peer Personal Health Record

Indiana University-Purdue University Indianapolis (IUPUI)Patients and providers need to exchange medical records. Electronic Health Records and Health Information Exchanges leave a patient’s health record fragmented and controlled by the provider. This thesis proposes a Peer-to-Peer Personal Health Record network that can be extended with third-party services. This design enables patient control of health records and the tracing of exchanges. Additionally, as a demonstration of the functionality of a potential third-party, a Hypertension Predictor is developed using MEPS data and deployed as a service in the proposed framework

Implementación y pruebas de REsource LOcation And Discovery (RELOAD) Parser and Encoder

El ampliamente utilizado paradigma cliente/servidor está siendo complementado e incluso reemplazado por otros planteamientos de tipo Peer-to-Peer (P2P). Las redes P2P ofrecen un sistema descentralizado de distribución de la información, son más estables, y representan una solución al problema de la escalabilidad. Al mismo tiempo, el Session Initiation Protocol (SIP), un protocolo de señalización diseñado inicialmente para arquitecturas de tipo ciente/servidor, ha sido ampliamente adoptado para servicios de comunicación tipo Voice-over-IP (VoIP). El actual proceso de estandarización llevado a cabo por el Peer-to-Peer Session Initiation Protocol (P2PSIP) Working Group del IETF se está acercando al desarrollo de aplicaciones que puedan utilizar tecnologías P2P junto con SIP. RELOAD es un protocolo P2P de señalización, que está todavía en desarrollo. RELOAD trabaja en entornos en los que existen Network Address Translators (NATs) o firewalls. RELOAD soporta diferentes aplicaciones y proporciona un marco de seguridad, también permite el uso de diversos algoritmos para las Distributed Hash Tables (DHTs) mediante los llamados "topology plugins". Esta tesis tiene como objetivos la implementación de un codificador y decodificador para mensajes de RELOAD, y el análisis de su rendimiento. Para este último punto se implementará un programa de prueba ejecutable en un teléfono móvil y en un servidor para la simulación de una red RELOAD. ________________________________________The widely used classic client/server paradigm is being complemented and sometimes replaced by current Peer-to-Peer (P2P) approaches. P2P networks offer decentralized distribution of information, are more stable, and represent a solution to the problem of scalability. At the same time the Session Initiation Protocol (SIP), a signalling protocol initially designed for client/server architectures, has been widely adopted for Voice-over-IP (VoIP) communication. The current standardization process of the Peer-to-Peer Session Initiation Protocol (P2PSIP) working group of the IETF is moving towards the development of applications that can use both P2P and Session Initiation Protocol (SIP) technologies in conjuntion. RELOAD is a P2P signalling protocol, which is still under development. RELOAD works in environments where there are Network Address Translators (NATs) or firewalls. RELOAD can support various applications and provides a security frameworks. RELOAD also allows the use of various Distributed Hash Table (DHT) algorithms in the form of topology plugins. This thesis aims at implementing a parser and encoder for RELOAD messages, and analyzing its performance by implementing a test program that will run on a mobile phone and on a server simulating a RELOAD overlay network.Ingeniería Técnica en Informática de Gestió