In moving toward an interoperability architecture, the concept of network centric is a step in the right direction-all modules connect to the network, not to each other. And a handful of good network citizenship rules provide a syntactical guide for attachment. From the point of view of the network designer this is sufficient-we have enough to build internetworks for the common good. The continued burgeoning of the Internet constitutes an existence proof. But a common networking base is insufficient to reach a goal of cross-system interoperability-the large information system. Many standardization efforts have attempted to solve this problem, but appear to have lacked the necessary scope. For instance, there have been many efforts aimed at standardizing data elements; these efforts, if followed through, yield some gains, but never seem to quite reach the interoperability goal. If we are to truly erect an interoperability architecture, we need to broaden the scope. This problem of cross-program, cross-service and cross-ally interoperability requires that we agree on the what of modularization, not just the how. This paper is aimed at framing the interoperability architecture problem. On modularization The core of architecture-the way things fit together-is a sense of modularization. This is the part of the problem that is perhaps the least mechanical and requires judgment. Experience, no doubt, helps. Architectural conformity must be traded off against other desired characteristics. The objective is that modules become inherently interoperable so we have components delivered by multiple programs that can be assembled for particular tasks. Prerequisite-network centric.

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Abstract-The European Telecommunications StandardsInstitute (ETSI) released a set of specifications to define a restful architecture for enabling seamless service provisioning across heterogeneous Machine-to-Machine (M2M) systems. The current version of this architecture is strongly centralized, thus requiring new enhancements to its scalability, fault tolerance, and flexibility. To bridge this gap, herein it is presented an Overlay Service Capability Layer, based on Information Centric Networking design. Key features, example use cases and preliminary performance assessments are also discussed to highlight the potential of our approach.

Today, increasing number of industrial application cases rely on the Machine to Machine (M2M) services exposed from physical devices. Such M2M services enable interaction of physical world with the core processes of company information systems. However, there are grand challenges related to complexity and "vertical silos" limiting the M2M market scale and interoperability. It is here expected that horizontal approach for the system architecture is required for solving these challenges. Therefore, a set of architectural principles and key enablers for the horizontal architecture have been specified in this work. A selected set of key enablers called as autonomic M2M manager, M2M service capabilities, M2M messaging system, M2M gateways towards energy constrained M2M asset devices and creation of trust to enable end-to-end security for M2M applications have been developed. The developed key enablers have been evaluated separately in different scenarios dealing with smart metering, car sharing and electric bike experiments. The evaluation results shows that the provided architectural principles, and developed key enablers establish a solid ground for future research and seem to enable communication between objects and applications, which are not initially been designed to OPEN ACCESSFuture Internet 2014, 6 262 communicate together. The aim as the next step in this research is to create a combined experimental system to evaluate the system interoperability and performance in a more detailed manner.

The number of industrial applications relying on the Machine to Machine (M2M) services exposed from physical world has been increasing in recent years. Such M2M services enable communication of devices with the core processes of companies. However, there is a big challenge related to complexity and to application-specific M2M systems called-vertical silos‖. This paper focuses on reviewing the technologies of M2M service networks and discussing approaches from the perspectives of M2M information

An ever increasing number of interconnected embedded devices, or Machine-to-Machine (M2M) systems, are changing the way we live, work and play. M2M systems as a whole are typically characterized by the diversity in both the type of device and type of network access technology employed, and such systems are often still today task-specific and built for just one specific application. Smart lighting, remote monitoring and control of all kinds of consumer devices and industrial equipment, safety and security monitoring devices and smart health and fitness products, exemplify this revolution of intercommunicating machines. However, the differences in communication technologies and data formats among such devices and systems are leading to a huge complexity explosion problem and a strongly fragmented market, with no true interoperability. Due to these problems, the full potential of M2M technology has yet to be fulfilled. In this paper, we examine the suitability of the Extensible Messaging and Presence Protocol (XMPP) and experiment with its potential to rise to the challenge of machine-to-machine communications and meet the needs of modern pervasive applications. Experimental implementations and some proof-of-concept solutions are also presented.

Machine-to-machine (M2M) systems need to connect thousands of heterogeneous machines that are widely distributed and frequently evolve according to their environment changes. Keeping such systems alive is costly in terms of time and money. The increasing complexity of M2M communications places M2M development and research under strain. Autonomic computing paradigm is widely believed to be a promising solution to self-manage this complexity. This paper proposes FRAMESELF, an ontology-based framework designed for the self-configuration of M2M communications. A variety of communication modules based on service-oriented and event-driven communication patterns is dynamically selected and configured in deployment plans. A generic and extensible control loop components diagram detailing the monitoring, analyzing, planning, and executing processes are provided. Ontology models describing the M2M architecture and M2M communication patterns are proposed. A smart metering use case is experimented to validate the proposed approach and to calculate the overload generated by FRAMESELF facing scalability. Copyright at building computing systems capable of managing themselves with minimum human intervention. Autonomic computing encompasses four self-management capabilities including self-configuring, self-healing, self-optimizing, and self-protecting. Up until the present time, available autonomic systems are restricted to specific problems and are not widely applied in M2M because of the vertical fragmentation of M2M application domains and lack of standardization. Although the European Telecommunication Standards Institute (ETSI) has recently specified a horizontal service platform for M2M services interoperability, no effective self-management capability was intergraded in the ETSI approach.With the advent of technology, the possibility has arisen to integrate the autonomic computing paradigm into a horizontal M2M service platform. Such platform should be able to automatically manage communication between interacting machines by taking actions based on what happening in the environment. Administrators interact with the system only to monitor business processes or to alter the objectives. M2M systems need semantic representations and reasoning capabilities to overcome their increasing complexly. An autonomic M2M system must be able to provide semantic descriptions of interacting machines with respect to both their context characteristics and their behaviors or situations. From a concrete point of view, interacting entities need to be made semantically and automatically interoperable. Any management system will be, then, capable to dynamically detect these entities and capture their contexts in order to identify what are the changes that are happening in the environment, infer the current situation, and react accordingly.In the present effort, FRAMESELF [1], an ontology-based framework, was designed and implemented for the self-management of M2M communications according to machines profiles and applications roles. On the one ha...

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