WAS4FI 2015 - 5th International Workshop on Adaptive Services for the Future Internet (WAS4FI 2015)
Topics/Call fo Papers
The Future Internet has emerged as a new initiative to pave a novel infrastructure linked to objects (things) of the real world to meet the changing global needs of business and society. It offers Internet users a standardized, secure, efficient and trustable environment, which allows open and distributed access to global networks, services and information.
To be consistently adopted, the Future Internet will be enabled through standards-based notations for messaging, semantics, process and state (such as those RDF, OWL, SOAP, REST and WS-BPEL), enabling distributed systems and entities to be described in a scalable and flexible robust dynamic environment. Multi-tenancy will enable their remote access as Software as a Service (SaaS), by performing the integration into larger networks of communicating software (e.g., a mashup or a plug-in to a Cloud platform). Future Internet applications will have to support the interoperability between many diverse stakeholders by governing the convergence and life-cycle of Internet of Contents (IoC), Services (IoS), Things (IoT), and Networks (IoN). These applications should handle dynamic and continuous change: for example, in the provisioning of services, availability of things and contents, connectivity of networks, diversity of user devices, etc. They should also bear in mind that the Future Internet should provide a better experience for the user journey, with personalized and context-aware contents, adapted to their preferences, and where users also play an active part in creating or sharing services.
There is a need for both researchers and practitioners to develop platforms made up of adaptive Future Internet applications. In this sense, the emergence and consolidation of Service-Oriented Architectures (SOA), Cloud Computing Wireless Sensor Networks (WSN), and the new paradigm Fog Computing, give benefits, such as flexibility, scalability, security, interoperability and adaptability, for building these applications. Although there already are emerging solutions to host software services and data on remote computers and create public sensor networks by using these technologies; the mentioned solutions employ simple technical approaches related to replication strategies to ensure availability and to achieve a load-balancing scalability. Future Internet systems, however, will also need to sense and respond to a huge amount of signals sourced from different entities in real-time, and also to manage and exploit the data coming from different resources and devices. In this context, for example, an event could be detected if there is non-existence of a signal which normally occurs, affecting the execution of other services. These events would be produced by IoT and processed in the IoS. In order to build business level events Complex Event Processing (CEP) may be used. CEP allows detecting complex and meaningful events and inferring valuable knowledge for end users. The main advantage of using CEP to process complex events is that the latter can be identified and reported in real time, reducing the latency in decision making, unlike the methods used in traditional software for event analysis. Event-Driven Service-Oriented Architectures (ED-SOA or SOA 2.0) are also being used to respond to events that occur as a result of business processes. Furthermore, including Big Data Analytics in the IoT world is also interesting, to support autonomous behavior and self-adaptation of IoT applications and systems, since these analytics methodologies could be used to exploit the open data exposed by the smart connected objects existing in domains such as, smart cities, smart homes, smart trades (commercial environment), e-health monitoring, or intelligent transportation systems. The results of these analytics techniques could be used for recommendations or predictions in multiple domains.
To be consistently adopted, the Future Internet will be enabled through standards-based notations for messaging, semantics, process and state (such as those RDF, OWL, SOAP, REST and WS-BPEL), enabling distributed systems and entities to be described in a scalable and flexible robust dynamic environment. Multi-tenancy will enable their remote access as Software as a Service (SaaS), by performing the integration into larger networks of communicating software (e.g., a mashup or a plug-in to a Cloud platform). Future Internet applications will have to support the interoperability between many diverse stakeholders by governing the convergence and life-cycle of Internet of Contents (IoC), Services (IoS), Things (IoT), and Networks (IoN). These applications should handle dynamic and continuous change: for example, in the provisioning of services, availability of things and contents, connectivity of networks, diversity of user devices, etc. They should also bear in mind that the Future Internet should provide a better experience for the user journey, with personalized and context-aware contents, adapted to their preferences, and where users also play an active part in creating or sharing services.
There is a need for both researchers and practitioners to develop platforms made up of adaptive Future Internet applications. In this sense, the emergence and consolidation of Service-Oriented Architectures (SOA), Cloud Computing Wireless Sensor Networks (WSN), and the new paradigm Fog Computing, give benefits, such as flexibility, scalability, security, interoperability and adaptability, for building these applications. Although there already are emerging solutions to host software services and data on remote computers and create public sensor networks by using these technologies; the mentioned solutions employ simple technical approaches related to replication strategies to ensure availability and to achieve a load-balancing scalability. Future Internet systems, however, will also need to sense and respond to a huge amount of signals sourced from different entities in real-time, and also to manage and exploit the data coming from different resources and devices. In this context, for example, an event could be detected if there is non-existence of a signal which normally occurs, affecting the execution of other services. These events would be produced by IoT and processed in the IoS. In order to build business level events Complex Event Processing (CEP) may be used. CEP allows detecting complex and meaningful events and inferring valuable knowledge for end users. The main advantage of using CEP to process complex events is that the latter can be identified and reported in real time, reducing the latency in decision making, unlike the methods used in traditional software for event analysis. Event-Driven Service-Oriented Architectures (ED-SOA or SOA 2.0) are also being used to respond to events that occur as a result of business processes. Furthermore, including Big Data Analytics in the IoT world is also interesting, to support autonomous behavior and self-adaptation of IoT applications and systems, since these analytics methodologies could be used to exploit the open data exposed by the smart connected objects existing in domains such as, smart cities, smart homes, smart trades (commercial environment), e-health monitoring, or intelligent transportation systems. The results of these analytics techniques could be used for recommendations or predictions in multiple domains.
Other CFPs
- 2nd Workshop on Seamless Adaptive Multi-cloud Management of Service-based Applications (SeaClouds)
- 1st International Workshop on Cloud Adoption and Migration (CloudWay 2015)
- 1st Workshop on Federated Cloud Networking (FedCloudNet)
- 1st International Workshop on Lightweight Services in Service-Oriented and Cloud Computing (LightServ)
- 2015 International Workshop on Digital Enterprise Architecture and Engineering
Last modified: 2015-05-09 08:11:27