A Lightweight and Flexible Mobile Agent Platform Tailored to Management Applications

Mobile Agents (MAs) represent a distributed computing technology that promises to address the scalability problems of centralized network management. A critical issue that will affect the wider adoption of MA paradigm in management applications is the development of MA Platforms (MAPs) expressly oriented to distributed management. However, most of available platforms impose considerable burden on network and system resources and also lack of essential functionality. In this paper, we discuss the design considerations and implementation details of a complete MAP research prototype that sufficiently addresses all the aforementioned issues. Our MAP has been implemented in Java and tailored for network and systems management applications.Comment: 7 pages, 5 figures; Proceedings of the 2006 Conference on Mobile Computing and Wireless Communications (MCWC'2006

Clustering of Mobile Ad Hoc Networks: An Adaptive Broadcast Period Approach

Organization, scalability and routing have been identified as key problems hindering viability and commercial success of mobile ad hoc networks. Clustering of mobile nodes among separate domains has been proposed as an efficient approach to address those issues. In this work, we introduce an efficient distributed clustering algorithm that uses both location and energy metrics for cluster formation. Our proposed solution mainly addresses cluster stability, manageability and energy efficiency issues. Also, unlike existing active clustering methods, our algorithm relieves the network from the unnecessary burden of control messages broadcasting, especially for relatively static network topologies. This is achieved through adapting broadcast period according to mobile nodes mobility pattern. The efficiency, scalability and competence of our algorithm against alternative approaches have been demonstrated through simulation results.Comment: 7 pages, 9 figures; IEEE International Conference on Communications, 2006. ICC '0

SMARTBUY dataset

The dataset represents a compilation of user interaction data generated by users who participated in the project's pilot activities in Patras, Greece. Data was generated by users in the SMARTBUY app and includes information about users, stores, product categories, professions, and events. The dataset comprises the following data: - users: user account data for the Patras pilot users - occupation: all possible occupations that the pilot users could choose from - stores: stores which participated in the Patras pilot - sel_products_cat: products uploaded to the SMARTBUY platform by retailers - events: geo-stamped and time-stamped descriptions of a user interaction event (for instance, "user_id 67 rated product_id 722 with rating 4 at location x1 at datetime y1", or "user_id 91 denoted product_id 78 as favorite at location x2 at datetime y2") - event_types: all possible event types captured by the SMARTBUY platform ('Product searches', 'Product views', 'Featured product', 'Products near you views', 'Product photos browsed', 'Product ratings', 'Clicks on Read More button to read product reviews', 'Clicks on Open map button', 'Clicks on Send this info by email button', 'Products denoted as Favorite') Privacy-sensitive information such as user names, retailer owner names and store names and keywords searched are anonymized.Datasetet representerar en sammanställning av användarinteraktionsdata som genererats av användare som deltog i projektets pilotverksamheten i Patras, Grekland. Data genererades av användare i SMARTBUY-appen och omfattar information om användare, butiker, produktkategorier, yrken och evenemang. Datasetet innehåller följande data: - användare: användarkontodata för Patras pilotanvändare - yrke: alla möjliga yrken som pilotanvändarna kan välja mellan - butiker: butiker som deltog i Patras-piloten - sel_products_cat: produkter som laddas upp till SMARTBUY-plattformen av återförsäljare - händelser: geo-stämplade och tidsstämplade beskrivningar av en användarinteraktionshändelse (till exempel "user_id 67 rankade produkt_id 722 med betyg 4 på plats x1 vid tidpunkt y1", eller "user_id 91 betecknade produkt_id 78 som favorit på plats x2 vid datetime y2 ") - event_types: alla möjliga händelsetyper som fångats av SMARTBUY-plattformen ('Produktsökningar', 'Produktvyer', 'Utvalda produkter', 'Produkter nära dig visningar', 'Produktfoton bläddrade', 'Produktbetyg', 'Klicka på Läs Mer knapp för att läsa produktrecensioner, "Klick på knappen Öppna karta", "Klicka på Skicka denna information via e-postknappen", "Produkter betecknade som favorit") Integritetskänslig information som användarnamn, detaljistägarnamn och butiksnamn och sökord som sökts har anonymiserats

Mobile Software Agents for Network Monitoring and Performance Management

The rapid developments in the area of communication and data networks require highperformance and reliable Network and Systems Management (NSM). Due to the deficiencies of the traditional manager-agent paradigm and the resulting scalability and flexibility limitations of centralisation, it is now commonly agreed that a transition to distributed management is required. There are many new trends in NSM that try to address this requirement. In general, these trends make use of well-established techniques from other computing fields, e.g. distributed objects, Java and Web technologies, adapted to NSM problems. In addition, management distribution aspects have also been incorporated in both the Internet and OSI-SM management architectures. However, it has been shown that distribution alone is not enough. Due to the high frequency of changes in networking environments, it is imperative that management systems are flexible, i.e. they can dynamically adapt to those changes and allow on-the-fly customisation of management services. In that context, Management by Delegation (MbD) paradigm has been identified as the first promising approach towards management distribution and flexibility