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Abstract-This paper addresses two known issues for dynamically composed services in digital ecosystems. The first issue is that of efficient distributed transaction management. The conventional view of transactions is unsuitable as the local autonomy of the participants is vital for the involvement of SMEs. The second issue is that of charging for such distributed transactions, where there will often be dynamically created services whose composition is not known in advance and might involve parts of different transactions. The paper provides solutions for both of these issues, which can be combined to provide for a unified approach to transaction management and accounting of dynamically composed services in digital ecosystems.

Abstract-We present a framework enabling charging for composed services comprised of services offered by multiple providers. In the framework rating engines may generate charge information for individual services and provide this information upon request to other rating engines when these services are used as part of a composed service. Rating engines additionally employ a two-phase rating process which allows potentially complex business agreements between providers to be reflected in composed service charges. Charges can vary depending on the context in which a service is executed, for example, as part of a composed service which includes services offered by a partner provider. Crucially, the process allows rating engines to calculate these varying charges without having to be manually pre-configured with details of the structure of individual composed services. In the paper we provide an overview of the framework, specifying in detail the rating process and inter-rating engine communications, and describe via an example its deployment in a distributed environment supporting the execution of composed services.

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Abstract-In digital ecosystems, where they are no central authorities or single points of failure or control, entities form dynamic relationships to facilitate transactions and knowledge sharing. These relationships are contextual, evolving and not subject to central moderation. The devolved structure of these emergent environments pose unique challenges for identity.In this paper, we build on previous work on identity in digital ecosystems by offering a closer examination of identity requirements and outlining a flexible and extensible identity model framework that uses OASIS SAML-like protocols and metadata to perform the equivalent of operations such as Single Sign-On (SSO).We also introduce an identity model software toolkit, IdentityFlow, that can be used to implement and execute identity protocols; and outline concrete use-cases for SSO protocol implementations.

This paper presents OPENi's Personal Cloudlets framework as a novel approach to enhancing users control and privacy over their data on a data driven, cloud-based platform.We introduce the EU FP7 funded project OPENi, the OPENi concept, and the research objectives that influenced the design and implementation of OPENi's Personal Cloudlet Framework. We outline OPENi's architecture and describe how through the use of REST based endpoints, object-based access control, OPENi Types, and stateless JSON Web Token (JWT) it allows users share, reuse, and control access to their data across many mobile applications while maintaining cloud scalability. Furthermore we describe how a number of the Personal Cloudlet Framework's features enhance a users privacy and control, including: the User Dashboard, the Privacy Preserving Data Aggregator, and the fine grained access control mechanism.

Abstract. In this paper we present a flexible architecture providing a communication platform between heterogeneous components for inter-domain QoS and traffic analysis in large-scale, multi-domain Internet infrastructures.