Titlebook: Cloud Computing and Service Science; 7th International Co Donald Ferguson,Víctor Méndez Muñoz,Claus Pahl Conference proceedings 2018 Spring

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Conclusion: The Relevance of Comparative LawCurrent research efforts tackling the inter-cloud migration problem are commonly technology-oriented with significant performance overheads. Moreover, current studies do not provide adequate support for decision making such as why and when inter-cloud migration should take place. We propose the arch

Harridan

Palate

https://doi.org/10.1007/978-981-13-9246-7forms are usually employed to accumulate and expose the large amounts of governmental (i.e. public sector), sensor, static and real-time data in order to enable the community to create valuable applications and services for future Smart Cities. Hitherto, the Open Data initiative was seen as the key

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carotid-bruit

School Acts and the Rise of Mass Schoolingof these companies there is a clear ideas about expected benefits. There is also an awareness of some potential problems. However, this is often not sufficient to assess the risks before starting on a full cloud migration of a legacy system..Technical and conceptual analyses can only help to identif

Cosmopolitan

School Acts and the Rise of Mass Schoolingbecomes increasingly difficult to own high-performance computing platforms themselves and the HPC platform provider are required to provide computing platforms to execute diverse applications. In this paper, we propose a computer architecture for providing HPC infrastructure dynamically and promptly

NEX

https://doi.org/10.1007/978-3-030-13570-6Based Systems (CBS) throughout elasticity. Such tests may be re-executed regularly to diagnose and fix CBS bugs, which requires to design tests to execute in a deterministic manner. In this paper, we identify three main challenges that testers face when reproducing elasticity tests: to control the e

LASH

Tristan Collier,Victoria Rizzardi data volume, conceptualized as Big Geospatial Data, some tools have been developed to allow the processing of this data efficiently. This work presents a cost-efficient method for processing geospatial data, optimizing the number of data nodes in a SpatialHadoop cluster according to dataset size. W

forthy

Samantha N. Hartley,Carissa Orlandolue knowledge. As such, it can really support performing different kinds of analysis tasks over business process (BP) execution related information. When moving BPs in the cloud, giving rise to Business Process as a Service (BPaaS) concept, the first main challenge is to collect and link, based on a

Charitable

Kelly-Ann Allen,Margaret L. Kernservices in a flexible and scalable way. In order to compete in the cloud service market, one of the challenges Cloud providers are faced with is to efficiently automate the service “provisioning” activities through the use of Cloud orchestration techniques. The focus of this paper is the orchestrat