Science Cloud Platform Clause Samples

Science Cloud Platform. ‌ The Science Cloud Platform (SCP) is the software system developed as part of the science cloud case study of ASCENS. The SCP is a platform-as-a-service cloud computing infrastructure which enables users to run applications while each individual node of the cloud is voluntarily provided (i.e., may come and go), data is stored redundantly, and applications are moved according to current load and availability of server resources. As such, the SCP serves as the main technical demonstrator for the science cloud case study of ASCENS.
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Science Cloud Platform. The Science Cloud Platform (SCP) is the software system developed as part of the science cloud case study of ASCENS. The SCP is a platform-as-a-service cloud computing infrastructure which enables users to run applications while each individual node of the cloud is voluntarily provided (i.e., may come and go), data is stored redundantly, and applications are moved according to current load and availability of server resources. At the network layer, SCP provides an implementation based on the peer-to-peer substrate Pas- try [RD01a] and accompanying protocols for the communication and data layers, which includes the DHT Past [RD01b] and the publish/subscribe mechanism Scribe [CDKR02]. On top of these layers, a variant of the ContractNET [Fou13] protocol has been used to implement application failover. An alternative implementation for communication on the application level integrates a gossip (endemic) strategy, which uses dedicated roles at each node as specified in the Helena approach [KMH14]. This increases scalability since it does not depend on global broadcasts as in the ContractNET implemen- tation, and serves to structure the implementation along role-based lines. The SCP can also take advantage of IaaS (Infrastructure-as-a-Service) platform such as the Zimory Cloud [Zim14], when available. If no node is available for executing a certain application, a new virtual machine with the required capabilities is started on demand. Once online, the application is moved to this machine. If the application is later shut down or a non-virtualized machine becomes available, the virtual machine is shut down again, thus conserving energy. The Science Cloud Platform serves as the main technical demonstrator for the cloud case study of ASCENS, integrating many of the newly researched methods and techniques into one software system.
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Science Cloud Platform. 29 3.7 SPL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 1 Introduction‌ The ASCENS project tackles the challenge of building systems that are open ended, highly parallel and massively distributed. Towards that goal, the ASCENS project considers designing systems as ensembles of adaptive components. Properly designed, such ensembles should operate reliably and predictably in open and changing environments. Among the outputs of the ASCENS project are methods and tools that address particular issues in designing the ensembles. The structure of the ASCENS project reflects the multiplicity of issues in designing the ensem- bles. Separate workpackages aim at topics such as formal modeling of ensembles or the knowledge representation for awareness. It is, however, important that the tools developed by the individual workpackages permit integration into a comprehensive development process. Keeping track of the tool development and directing the integration is the goal of workpackage WP6. meant to supplant the tool documentation.
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