Discovering and redirecting multimedia services in a personalized manner is achieving increasing importance for mobile users. It is a powerful characteristic, one of the endless capabilities of mobile ecommerce technology. Regardless of their location, users are able to find and utilize services according to their needs and without complex configuration and preknowledge of service interfaces. In addition, they gain control over how, where, and when multimedia services are delivered. Mobile agent platforms may contribute significantly as a supporting component of the overall personalized multimedia service infrastructure. In order to appreciate the impact of MA-based solutions in personalized multimedia service platforms, we present a set of basic criteria related to mobile agents, which may evaluate their necessity and usage. Although it is not an exhaustive list of evaluation criteria, it is sufficient to cover a broad variety of areas under consideration regarding the involvement of mobile agents in service platforms.
The uniqueness of mobile Internet applications can be appreciated from different viewpoints. Undoubtedly, from the system’s viewpoint, mobile multimedia (M3) applications present disadvantages: mobile devices have smaller screens/keyboards, minor multimedia processing capabilities, and inferior (as well as unstable) network connection speeds than desktop computers. On the other hand, from the environmental viewpoint, there is an important advantage: mobile devices provide users mobile access to Internet-based content and services, anywhere and anytime. Moreover, an additional benefit comes from analyzing mobility in user interactions: mobile users’ actions are positioned in a particular context, such as location and resources nearby. Thus, enabling context-sensitivity on mobile devices, these devices may actually provide task-relevant services and communications.
Many researchers over the last few years have identified and underlined personalization as an important feature related to acceptance and use of M3 information. Personalization has the ability to adapt information and services to better fit the needs of each user. In this context, significant issues are unraveled focusing on M3 service-related considerations. This is an area in which mobile agent (MA) technology may play a considerable role in the necessary underlying infrastructure, as it exploits a specific aspect of mobility; namely, “service mobility.”
The characteristics of MAs allow them to provide solutions on key areas of personalized M3 communication, such as discovering and locating multimedia services, as well as redirecting services in mobile environments. Automating service discovery is achieving increasing importance for mobile users, considered as service infrastructures capable of letting services be discovered and utilized efficiently. Mobile users are allowed to request services according to their own needs. Even though all the available resources are retrieved, the results that do not fit the user’s need are reduced or eliminated, increasing the precision of the answer (Valavanis, Ververidis, Vazirgiannis, Polyzos & Norvag, 2003). Moreover, in order to get better results, the service search procedure is capable of being customized according to current context conditions.
By adopting MAs, mobile users may submit a service request without having to wait for results or trying to keep constantly “active” the connection in the process of service discovery. That type of asynchronous service discovery deals successfully with the frequent disconnections and possible long delays of wireless links. Thus, MA platforms may contribute significantly as a supporting component of the overall personalized multimedia service discovery infrastructure. Another aspect related to service discovery issues and MAs is interoperability. MAs may provide an intermediary layer between various underlying service discovery protocols and mobile users. Mainly, this MA-based layer is capable of handling service requests (of various types of service discovery protocols) from users (Wang & Koubaa, 2006). Furthermore, it may present a generally reliable view of service configuration and a common way to prepare search requests.
MAs are actually capable of exploiting the context information detected by the mobile devices with sufficient flexibility. Their sophisticated individuality promises considerable support in another state-of-the-art area regarding the delivery of personalized multimedia communication and services. Mobile users want more control over how, where, and when multimedia services are delivered. Personalized service redirection is concerned with directing multimedia communication and services to the suitable devices for the appropriate person at the proper time and location, performing any type of alterations that are essential to accomplish this (Yang & Williams, 2006).
In order to appreciate completely the impact of MA platforms in personalized multimedia services, we will analyze architectural issues related to personalized redirection and personalized service discovery. Afterwards, we will make an effort to detect a number of basic criteria related to MAs, which may evaluate their necessity and usage for personalized M3 services.
Key Terms in this Chapter
Ma: A mobile agent is a piece of software that may act on behalf of the user in an autonomous fashion. It is able to transport itself from one host to another across different computing platforms.
Mobile E-Commerce: Involves an emerging set of services that users may access from their Web-enabled mobile devices.
Context-Awareness: A term used for devices that are capable of sensing and holding information about the circumstances (user’s location and profile preferences, people nearby, the current social situation, humidity, light, etc.) under which they operate and can react accordingly.
MMS: Multimedia Messaging Service is a store and forward messaging service that allows mobile subscribers to exchange multimedia messages with other mobile subscribers.
Personalized Service Redirection: A mechanism to control the delivery of incoming communication and data to a user’s preferred devices at any time in the user’s preferred form, taking user context into account. It intercepts, filters, converts, and directs communications, thereby giving the user control over the delivery and presentation of information.
QoS: Quality of service notes the idea that transmission quality and service availability can be measured, improved, and, to some extent, guaranteed in advance. QoS is of particular concern for the continuous transmission of multimedia information and declares the ability of a network to deliver traffic with minimum delay and maximum availability.
Service: An abstraction function unit with clearly defined interfaces that performs a specific functionality. Users, applications, or other services can use the service functionality through well-known service interfaces without having to know how it is implemented.
Service discovery: The activity to locate servers in the network based on the given service type and service attributes in a reasonable time. The service discovery is, therefore, a mapping from service type and attributes to the set of servers.
Complete Chapter List
Elhadi Shakshuki, Xinyu Xing, Haroon Malik
Reinhard Kronsteiner, Bettina Thurnher
Goran Gvozden, Mislav Grgic, Sonja Grgic, Miran Gosta
Mamun I. Abu-Tair
Abdulhussain E. Mahdi
Wanji Mai, Chris Tweed, Peter Hung, Seán McLoone, Ronan Farrell
Eduardo Antonio Viruete Navarro
Paolo Barsocchi, Alan A. Bertossi, M. Cristina Pinotti, Francesco Potortì
Do van Thanh, Ivar Jørstad
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Wieland Schwinger, Christoph Grün, Birgit Pröll, Werner Retschitzegger
Daniel C. Doolan, Sabin Tabirca, Laurence T. Yang
Daniel C. Doolan, Sabin Tabirca, Laurence T. Yang
Daniel C. Doolan, Kevin Duggan, Sabin Tabirca, Laurence T. Yang
Christos K. Georgiadis
Hongbo Ni, Xingshe Zhou, Zhiwen Yu, Daqing Zhang
Pavol Podhradský, Eugen Mikóczy, Matejka Juraj, Ondrej Lábaj, Róbert Tomek
Robert Schmohl, Uwe Baumgarten, Lars Köthner
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Stephan Reiff-Marganiec, Yi Hong, Hong Qing Yu, Schahram Dustdar, Christoph Dorn, Daniel Schall
Baud Haryo Prananto
Diego Moreira Alves
Dietmar G. Wiedemann
Mahieddine Djoudi, Saad Harous
Patrícia Dockhorn Costa, Luís Ferreira Pires, Marten van Sinderen
Frédéric Lassabe, Philippe Canalda, Damien Charlet, Pascal Chatonnay, François Spies
Anastasis A. Sofokleous, Marios C. Angelides, Christos N. Schizas
Wee Hyong Tok, Stéphane Bressan, Panagiotis Kalnis, Baihua Zheng
Ioannis Priggouris, Evangelos Zervas, Stathes Hadjiefthymiades
Ghita Kouadri Mostéfaoui
Do Van Thanh, Ivar Jørstad, Schahram Dustdar
Mohamed Ali Feki
Damien Charlet, Frédéric Lassabe, Philippe Canalda, Pascal Chatonnay, François Spies
Roland Wagner, Franz Gruber, Werner Hartmann