1,721,091 research outputs found
Monitoring and management of a cloud application within a federation of cloud providers
No full textCloud federation is an emerging computing model where multiple resources from independent cloud providers are leveraged to create large-scale distributed virtual computing clusters, operating as within a single cloud organisation. This concept of service aggregation is characterised by interoperability features, which can address different problems about inter-cloud collaboration. One of the main issues within a cloud federation is related to the monitoring of the application deployed on resources coming from different vendors belonging to the federation. We present an agent-based architecture that aims at monitoring the user’s cloud environment provided by the federation: the elasticity of the proposed architecture allows the configuration and customisation of the monitoring infrastructure to adapt it to the specific cloud application. Agents will be strengthened by algorithms and rules used to monitor QoS parameters that are critical for the specific application. The prototypal implementation of the proposed framework will be applied on a testbed application to validate the monitoring architecture
Intrusion detection in federated clouds
No full textAbstract: In order to overcome the provisioning and scalability limits of a single cloud, cloud federation appears as the computing model in which multiple resources from independent cloud providers can be shared to create large-scale distributed virtual clusters. On the other hand, these complex architectures become an attractive target for distributed denial of service (DDoS) attacks. Although, federated cloud environments have large amount of resources and profound dynamic allocation capability, which can be used to face DDoS attacks, they are however vulnerable to attacks that aim at compromising the service level agreements. In this paper, we investigate the key research topics for supporting distributed intrusion detection in a federated cloud environment. We propose a scalable intrusion detection solution, which can be used by cloud providers to protect the federated cloud infrastructure, as well as offered to the cloud service providers to monitor the hosted applications. We present a multi-layer architecture, which exploits a publish/subscribe middleware to collect and share security information in the federated cloud infrastructure. Moreover, we present an open-source framework, which provides features and interfaces to develop and deploy security components, as well as to define customised event correlation rules used to detect possible inter-cloud attacks
Enabling Model Driven Engineering of Cloud Services by using mOSAIC Ontology
No full textThe easiness of managing and configuring resources and the low cost needed for setup and maintaining Cloud services have
made Cloud Computing widespread. Several commercial vendors now offer solutions based on Cloud architectures. More and more
providers offer new different services every month, following their customers needs. A way to provide a common access to Cloud
services and to discover and use required services in Cloud federations is appealing. mOSAIC project addresses these problems
by defining a common ontology and it aims at developing an open-source platform that enables applications to negotiate Cloud
services as requested by users. Anyway the increasing complexity of services required by users in Cloud Environments usually
needs the definition of composite, value added services (VAS). Usage patterns and Use Cases definitions help in defining VAS,
but a way to assure that new services reach the required goals with proper qualitative and quantitative properties has to be
provided in order to validate design and implementation of composite services. In this paper mOSAIC Ontology is described and
the MetaMORP(h)OSY methodology and framework are introduced. The methodology uses Model Driven Engineering and Model
Transformation techniques to analyse services. Due to the complexity of the systems to analyse, the mOSAIC Ontology is used in
order to build modelling profiles in MetaMORP(h)OSY able to address cloud domain-related properties
A case study of application analytical modeling in heterogeneous computing environments: Cholesky factorization in a NOW
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