Grid computing has recently become an important paradigm for managing computationally demanding applications, composed of a collection of services. The dynamic discovery of services, and the selection of a particular service instance providing the best value out of the discovered alternatives, poses a complex multi-attribute n:m allocation decision problem, which is often solved using a centralized resource broker. To manage complexity, this article proposes a two-layer architecture for service discovery in such Application Layer Networks (ALN). The first layer consists of a service market in which complex services are translated to a set of basic services, which are distinguished by price and availability. The second layer provides an allocation of services to appropriate resources in order to enact the specified services. This framework comprises the foundations for a later comparison of centralized and decentralized market mechanisms for allocation of services and resources in ALNs and Grids.
Grid computing has recently become an important paradigm for managing computationally demanding applications, composed of a collection of services. The dynamic discovery of services, and the selection of a particular service instance providing the best value out of the discovered alternatives, poses a complex multiattribute n:m allocation decision problem, which is often solved using a central resource broker. However, decentralized approaches to this service allocation problem represent a much more flexible alternative, thus promising improvements in the efficiency of the resulting negotiations and W. Streitberger (B) · S. Hudert · T. Eymann service allocations. This paper compares centralized and decentralized service allocation mechanisms in Grid market scenarios according to a defined set of metrics.
Abstract. There are key challenges in utility computing environments such as the provisioning, orchestration and allocation of resources to services. In these environments, providers need to decide how resources are allocated to service applications according to their workloads in order to guarantee the Quality of Service (QoS) required by customers. Autonomic computing inspired mechanisms are appealing to enable selforganising resource allocation and provisioning. However, these mechanisms are difficult to evaluate in practice either because of the lack of a real test bed or the difficulty in replicating experimental results. This work thus describes a service framework for a Grid simulator. This framework allows the modelling and evaluation of the provisioning and negotiation of services and resources. We also discuss experimental results that demonstrate the usefulness of this framework for the simulation of a decentralised and self-organising economic model for service and resource negotiation termed Catallaxy.
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