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With increasingly strict data management requirements from funding agencies and institutions, expanding focus on the challenges of research replicability, and growing data sizes and heterogeneity, new data needs are emerging in the materials community. The materials data facility (MDF) operates two cloud-hosted services, data publication and data discovery, with features to promote open data sharing,...
The rush is on to service-enable everything, and those that fail to capitalize on this trend will be left behind in the marketplace. While new applications can be written for this environment, substantial value exists in legacy applications and systems. Successfully service enabling these applications is not easy for software vendors due to the complexity of integration. To address this problem, we...
A major advantage of Service-Oriented Architectures (SOA) is composition and coordination of loosely coupled services. Because the development lifecycles of services and clients are decoupled, multiple service versions have to be maintained to continue supporting older clients. Typically versions are managed within the SOA by updating service descriptions using conventions on version numbers and namespaces...
Shared services, hosted in utility computing environments are becoming quite common in enterprises. These services could be clusters of application servers hosting various applications or even clusters of databases catering to multiple organizations within an enterprise. Automating the provisioning of these shared services is a difficult problem. We propose a model-based automation mechanism to provision...
Utility computing environments provide on-demand IT services to customers. Such environments are dynamic in nature and continuously adapt to changes in requirements and system state. Errors are an important category of environment state changes as such environments consist of a large number of components, and hence, are subject to errors. In this paper, we design and implement a model-based simulation...
Condor is a distributed batch system for sharing the workload of compute-intensive jobs in a pool of Unix workstations connected by a network. In such a Condor pool, idle machines are spotted by Condor and allocated to queued jobs, thus putting otherwise unutilized capacity to efficient use. When institutions owning Condor pools cooperate, they may wish to exploit the joint capacity of their pools...
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