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The workload management task of the DataGrid project was mandated to define and implement a suitable architecture for distributed scheduling and resource management in a Grid environment. The result was the design and implementation of a Grid Workload Management System, a super-scheduler with the distinguishing property of being able to take data access requirements into account when scheduling jobs to the available Grid resources. Many novel issues in various fields were faced such as resource management, resource reservation and co-allocation, Grid accounting. In this paper, the architecture and the functionality provided by the DataGrid Workload Management System are presented.

Abstract. Society and business are demanding systems that can securely and costeffectively exploit opportunities presented by an Internet of Services. To achieve this goal a system must dynamically adapt to its environment and consider multiple and shifting stakeholder concerns such as application functionality, policies and business processes. In this paper we describe a dynamic orchestration model called the Virtual Infrastructure Model (VIM) which allows consumers to develop service-oriented systems that adapt to the needs of different business actors. It is based on the idea that adaptive workflow and dynamic binding to services can facilitate abstraction of both business processes and requisite interactions with the underlying infrastructure. Key requirements for federated orchestration are addressed including runtime service binding, secure and accountable dynamic procurement, infrastructure adaption, and separation of stakeholder concerns. The VIM is a fundamental component of the Next Generation Grid Architecture developed in the context of the EU funded NextGRID project.

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