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GECON - Grid Economics and Business Models Cloud computing is seen by many people as the natural evolution of Grid computing concepts. Both, for instance, rely on the use of service-based approaches for pro- sioning compute and data resources. The importance of understanding business m- els and the economics of distributed computing systems and services has generally remained unchanged in the move to Cloud computing. This understanding is nec- sary in order to build sustainable e-infrastructure and businesses around this paradigm of sharing Cloud services. Currently, only a handful of companies have created s- cessful businesses around Cloud services. Among these, Amazon and Salesforce (with their offerings of Elastic Compute Cloud and force. com among other offerings) are the most prominent. Both companies understand how to charge for their services and how to enable commercial transactions on them. However, whether a wide-spread adoption of Cloud services will occur has to seen. One key enabler remains the ability to support suitable business models and charging schemes that appeal to users o- sourcing (part of) their internal business functions. The topics that have been addressed by the authors of accepted papers reflect the above-described situation and the need for a better understanding of Grid economics. The topics range from market mechanisms for trading computing resources, capacity planning, tools for modeling economic aspects of service-oriented systems, archit- tures for handling service level agreements, to models for economically efficient resource allocation.
Sommario
Market Models and Mechanisms.- DEEP-SaM - Energy-Efficient Provisioning Policies for Computing Environments.- Response Deadline Evaluation in Point-to-Point Negotiation on Grids.- A Framework for Analyzing the Economics of a Market for Grid Services.- Business Support Tools.- The GridEcon Platform: A Business Scenario Testbed for Commercial Cloud Services.- VieSLAF Framework: Enabling Adaptive and Versatile SLA-Management.- Cost Optimization Model for Business Applications in Virtualized Grid Environments.- Business-Related Resource Allocation.- Increasing Capacity Exploitation in Food Supply Chains Using Grid Concepts.- A QoS-Based Selection Mechanism Exploiting Business Relationships in Workflows.- Work-in-Progress on Economic and Legal Models.- Determinants of Participation in Global Volunteer Grids: A Cross-Country Analysis.- The Determination of Jurisdiction in Grid and Cloud Service Level Agreements.- Work-in-Progress on Business Models.- Engineering of Services and Business Models for Grid Applications.- Visualization in Health Grid Environments: A Novel Service and Business Approach.- Work-in-Progress on Economic-Aware Architectures.- Message Protocols for Provisioning and Usage of Computing Services.- Business Collaborations in Grids: The BREIN Architectural Principals and VO Model.
Info autore
Rajkumar Buyya is Co-Chair of the IEEE Task Force on Cluster Computing and an international speaker in the IEEE Computer Society Chapter Tutorials Program. Currently at Monash University, Melbourne, Australia, he is conducting R&D on the use of an economics paradigm for peer-to-peer and grid-based service-oriented computing. He has co-authored Microprocessor x86 Programming and Mastering C++, and edited a popular two-volume book on high performance cluster computing. He has published over 50 research articles in major international journals and conferences.
Riassunto
GECON - Grid Economics and Business Models Cloud computing is seen by many people as the natural evolution of Grid computing concepts. Both, for instance, rely on the use of service-based approaches for pro- sioning compute and data resources. The importance of understanding business m- els and the economics of distributed computing systems and services has generally remained unchanged in the move to Cloud computing. This understanding is nec- sary in order to build sustainable e-infrastructure and businesses around this paradigm of sharing Cloud services. Currently, only a handful of companies have created s- cessful businesses around Cloud services. Among these, Amazon and Salesforce (with their offerings of Elastic Compute Cloud and force. com among other offerings) are the most prominent. Both companies understand how to charge for their services and how to enable commercial transactions on them. However, whether a wide-spread adoption of Cloud services will occur has to seen. One key enabler remains the ability to support suitable business models and charging schemes that appeal to users o- sourcing (part of) their internal business functions. The topics that have been addressed by the authors of accepted papers reflect the above-described situation and the need for a better understanding of Grid economics. The topics range from market mechanisms for trading computing resources, capacity planning, tools for modeling economic aspects of service-oriented systems, archit- tures for handling service level agreements, to models for economically efficient resource allocation.
