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This book constitutes the refereed proceedings of the 10th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2013, held in Zaragoza, Spain, in September 2013.The 20 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: business models, energy consumption, resource allocation, work in progress on resource allocation, work in progress on pricing, quality of service, work in progress on utility and ROI modeling.

Collective intelligence has gained significant interest in academia and industry, with numerous conferences exploring user motivation in value creation, the role of advanced information and communication technologies, and the need for improved algorithms to manage increasing shared data. Key topics in knowledge creation, creativity, and innovation within emerging communities of practice are ripe for research and discussion. COLLIN is set to become a leading conference in collective intelligence and ICT-enabled social networking, with contributions from around the globe, including Australia, Europe, Asia, and the United States. Following positive feedback, COLLIN 2012 is scheduled for late August at FernUniversität in Hagen. To ensure high-quality presentations, each paper underwent a double-blind review process focusing on originality, quality, and relevance. Additionally, renowned experts were invited to enhance the symposium with their latest research findings. Special thanks are extended to the authors for their submissions, the international program committee members, and the reviewers who ensured the high standards of the papers included in this volume.

The commercial exploitation of distributed computing technologies is slowly starting to become popular under the general area of cloud computing. These solutions allow selling and buying of resources (i. e., computing, network, software, and data resources) on demand. Existing solutions in this area are diverse, ranging from Infrastructure-- a-Service (IaaS) models via Platform-as-a-Service (PaaS) to Software-as-a-Service (SaaS) models. Although the economics of these services is not yet fully understood and the interoperability between such services is still lacking, a common market for computing services is slowly developing. Such a market would allow buyers and sellers of computing services to trade their excess capacity or make available their capacity at a cost. However, it is still not p- sible for a market participant to act as a resource provider or seller, or trade based on the current level of demand. Another example of a developing open market is the emergence of Web2.0-based services. These enable consumers to create new services by aggregating services from multiple providers. The benefit of these solutions is that “value” can be created by combining services at different prices.

analysis. Their results show that interoperability is the most indispensable element to a successful utilization of Grid infrastructures in enterprises. In the third contribution, Altmann and colleagues formulate a taxonomical - proach to Grid business models. They survey the development and origin of Grid technologies and focus on the importance of business-directed values when trying to commercialize today’s Grids. Therein, they identify the reduction of costs, the - provement of efficiency, the creation of novel products and services as well as the quality and collaboration between companies as key factors for the differentiation of Grid business models. The paper concludes by applying the proposed taxonomy to a utility computing scenario and a software-as-a-service scenario in practice. Stanoevska-Slabeva and Zsigri propose a generic value chain for the Grid industry. In their contribution, they suggest a case study on aggregating results from different Grid middleware modules into a generic Grid value chain. In their contribution, McKee and coauthors propose a set of strategies for acting in future service-oriented markets. The costs of negotiations are put in relation to the value of the offer under negotiation. Hence, the contribution adds to the state of the art by extending the vision of service level agreements (SLAs) within service fra- works. Sandholm and Lai propose a novel, prediction-based enforcement of performance contracts. Their approach aims at controllable quality of service (QoS) within Grid computing platforms. The proposed mechanism is based on a hybrid resource allo- tion system using both proportional shares and reservations.