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By Steven Lynden, Oscar Corcho, Isao Kojima, Mario Antonioletti, Carlos Buil-Aranda (auth.), Sandro Fiore, Giovanni Aloisio (eds.)

Since the Nineteen Nineties Grid Computing has emerged as a paradigm for getting access to and handling dispensed, heterogeneous and geographically unfold assets, promising that we'll be ready to entry laptop energy as simply as we will be able to entry the electrical energy grid. afterward, Cloud Computing introduced the promise of supplying effortless and cheap entry to distant and garage assets. Exploiting pay-per-use types and virtualization for source provisioning, cloud computing has been speedily accredited and utilized by researchers, scientists and industries.

In this quantity, contributions from the world over famous specialists describe the most recent findings on hard issues regarding grid and cloud database administration. via exploring present and destiny advancements, they supply a radical knowing of the foundations and strategies considering those fields. The offered themes are good balanced and complementary, they usually variety from famous learn initiatives and actual case stories to criteria and requisites, and non-functional points resembling protection, functionality and scalability. Following an preliminary advent through the editors, the contributions are prepared into 4 sections: Open criteria and requisites, examine Efforts in Grid Database administration, Cloud info administration, and clinical Case Studies.

With this presentation, the ebook serves typically researchers and graduate scholars, either as an creation to and as a technical reference for grid and cloud database administration. The exact descriptions of study prototypes facing spatiotemporal or genomic facts can be beneficial for program engineers in those fields.

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Since Categories cannot only be used to define the type of the resource, but also to tag or group resources, resource can show up under multiple paths. The following URL hierarchy demonstrates this feature: 30 A. Edmonds et al. /compute/123 /storage/discABC /database/tableXYZ /nosql/entry_1 /my-linux-vms/123 /my-datasets/discABC /my-datasets/tableXYZ /my-datasets/entry_1 // // // // links links links links to to to to /compute/123 /storage/discABC /database/tableXYZ /nosql/entry_1 This very flexible system allows that the OCCI model can be used for several use cases including for Data Management operations.

As such, OCCI fulfills two major requirements to enable this technology: interoperability and portability of the applications, and dynamic provisioning of infrastructure. The packaging paradigm of Virtual Machines additionally allows easy movement and infrastructure-agnostic capacity planning with data requirements in mind. Speaking of such, OCCI is the enabling technology for making data aware, proximity-based scheduling and resource management happen in federated DCI environments. 5 Use of OCCI for a Simple Key-Value Store The previous Sects.

1] Compute Network Storage target + source links * StorageLink IPNetworking NetworkInterface IPNetworkInterface Fig. 4 The proposed integration was detailed in a subsequent technical paper [13]. 5 Related Standards and Specifications A guiding principle in OCCI is to make use of existing standards and specifications where appropriate. OCCI and the Storage Networking Industry Association’s (SNIA)5 Cloud Data Management Interface (CDMI) working groups have collaborated together so that both specifications are interoperable with each other.

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