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The emerging cloud-computing paradigm is rapidly gaining momentum as an alternative to traditional IT (information technology). However, contemporary cloud-computing offerings are primarily targeted for Web 2.0-style applications. Only recently have they begun to address the requirements of enterprise solutions, such as support for infrastructure(More)
Cloud computing [23] is a promising paradigm for the provisioning of IT services. Cloud computing infrastructures, such as those offered by the RESERVOIR project, aim to facilitate the deployment, management and execution of services across multiple physical locations in a seamless manner. In order for service providers to meet their quality of service(More)
Service Clouds are a key emerging feature of the Future Internet which will provide a platform to execute virtualized services. To effectively operate a service cloud there needs to be a monitoring system which provides data on the actual usage and changes in resources of the cloud and of the services running in the cloud. We present the main aspects of(More)
This paper addresses the problem of managing highly dynamic network and service environments, where virtual nodes and virtual links are created and destroyed depending on traffic volumes, service requests, or high-level goals such as reduction in energy consumption. This problem will be one of the main technical challenges to be faced in the evolution(More)
Virtual Networks are characterised as highly dynamic network environments, where topologies and nodes adapt rapidly to changes in user and service demands, user location and context changes, or resource constraints. This paper presents a rigorous assessment of an Information Management Overlay (IMO) suitable for monitoring virtual networks. The IMO system(More)
RESERVOIR project [16] is developing an advanced system and service management approach that will serve as the infrastructure for Cloud Computing and Communications and Future Internet of Services by creative coupling of service virtualization, grid computing, networking and service management techniques. This paper presents work in progress for the(More)
The essence of Grid Computing is to provide efficient Resource on Demand (RoD). This paper addresses this challenge from the perspective of network, the living platform of Grid, by providing effective Quality of Service (QoS) mechanisms (both IntServ and DiffServ) inside the Grid networking environment. Specifically, the efficiency of this QoS mechanism is(More)