Automated bidding for trading grid services

For decades markets have been proposed for allocating computer resources in distributed systems like the Clusters or Grids. Nevertheless, none of these approaches has made it into practice. The reasons for the adoption failure of markets are manifold. One reason that has been hitherto rarely discussed is the bidding process. Theoretic approaches assume that the bidders know how to derive their bids exactly. This does not only include the specific computer resource, which is needed at some time in the future, but also the price. This assumption simplifies reality and can thus not contribute to the development of markets in Grid. What is needed to establish a prospering market for Grid resources are rules how to conduct the bidding. Since demand and supply are extremely dynamic in computing resources, manual bidding is too slow to accommodate abrupt shifts in demand or supply. This paper introduces a policy based autonomous agent approach for automated bidding. By means of the policies resource providers and consumers can specify the way how they trade Grid resources (e.g., resource isolation definitions, security specifications)

10301 Executive Summary and Abstracts Collection -- Service Value Networks

From 25.07.2010 to 30.07.2010, the Perspectives Workshop 10301 ``Perspectives Workshop: Service Value Networks \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)

Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restrict its use in important industrial applications. Based on our experience with Siemens, we argue that in order to overcome those limitations OBDA should be extended and become analytics, source, and cost aware. In this work we propose such an extension. In particular, we propose an ontology, mapping, and query language for OBDA, where aggregate and other analytical functions are first class citizens. Moreover, we develop query optimisation techniques that allow to efficiently process analytical tasks over static and streaming data. We implement our approach in a system and evaluate our system with Siemens turbine data

Trading Services in Ontology-driven Markets

In order to realize the vision of a full-fletched service oriented architecture efficient service discovery and allocation is required to coordinate the interplay between service providers and requesters. This paper presents the architecture of an ontology-driven market for trading Semantic Web Services. An auction schema is enriched by a set of components enabling semantics based matching as well as price-based allocations. Moreover, an approach for reducing the complexity of the auction system by means of background knowledge is proposed

Semantic Management of Web Services

We present semantic management of Web Services as a paradigm that is located between the two extremes of current Web Services standards descriptions and tools (WS*) and Semantic Web Services. On the one hand, WS* does not have an integrated formal model incurring high costs for managing Web Services in a declarative, but mostly manual fashion. On the other hand, the latter aims at the formal modelling of Web Services such that full automation of Web Service discovery, composition, invocation, etc. becomes possible --- thereby incurring unbearably high costs for modelling. Semantic management of Web Services trades off between the two extremes. Based on a set of use cases, we identify who benefits from what kind of semantic modelling of Web Services, when and for what purposes. We arrive at a scheme that is comparable to model driven engineering (MDE), but which is more powerful and not restricted for use at compile time. In addition, the use cases also determine requirements of our semantic modelling leading us to a Core Ontology of Services. We present how the core ontology is used in an implemented prototype