Automatic Resource Allocation for High Availability Cloud Services
Stefano Marrone,Roberto Nardone +1 more
- Vol. 52, Iss: 1, pp 980-987
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TLDR
The approach is based on model-driven principles and uses both UML and Bayesian Networks to capture, analyse and optimise cloud deployment configurations and is extensible to the operational phases of the life-cycle.Abstract:
This paper proposes an approach to support cloud brokers finding optimal configurations in the deployment of dependability and security sensitive cloud applications. The approach is based on model-driven principles and uses both UML and Bayesian Networks to capture, analyse and optimise cloud deployment configurations. While the paper is most focused on the initial allocation phase, the approach is extensible to the operational phases of the life-cycle. In such a way, a continuous improvement of cloud applications may be realised by monitoring, enforcing and re-negotiating cloud resources following detected anomalies and failures.read more
Citations
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A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing
TL;DR: This research proposes a new Agent based Automated Service Composition (A2SC) algorithm comprising of request processing and automated service composition phases and is not only responsible for searching comprehensive services but also considers reducing the cost of virtual machines which are consumed by on-demand services only.
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Pattern-based orchestration and automatic verification of composite cloud services
Flora Amato,Francesco Moscato +1 more
TL;DR: This work describes a methodology for automatic composition and verification of Cloud Services which is driven by formal orchestration language.
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Components for Smart Autonomous Ship Architecture Based on Intelligent Information Technology
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Proceedings ArticleDOI
Automatic Cloud Services Composition for Big Data Management
Flora Amato,Francesco Moscato +1 more
TL;DR: This work proposes a methodology for composition of services used for analyses of different Big Data sources: in particular an Orchestration language is reported able to describe composite services and resources in a multi-cloud environment.
References
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Journal ArticleDOI
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
Journal ArticleDOI
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
TL;DR: In this article, a Bayesian approach for learning Bayesian networks from a combination of prior knowledge and statistical data is presented, which is derived from a set of assumptions made previously as well as the assumption of likelihood equivalence, which says that data should not help to discriminate network structures that represent the same assertions of conditional independence.
Book
Learning Bayesian networks
TL;DR: This chapter discusses Bayesian Networks, a framework for Bayesian Structure Learning, and some of the algorithms used in this framework.
Journal ArticleDOI
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TL;DR: An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).
Journal ArticleDOI
Guest Editor's Introduction: Model-Driven Engineering
TL;DR: Model-driven engineering technologies offer a promising approach to address the inability of third-generation languages to alleviate the complexity of platforms and express domain concepts effectively.
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