75 research outputs found

    Models@Runtime for Continuous Design and Deployment

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    Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach

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    Cloud Computing enables the construction and the provisioning of virtualized service-based applications in a simple and cost effective outsourcing to dynamic service environments. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different IaaS provider capabilities coming from both the commercial and the academic area. In this paper, we introduce a federated cloud management solution that operates the federation through utilizing cloud-brokers for various IaaS providers. In order to enable an enhanced provider selection and inter-cloud service executions, an integrated monitoring approach is proposed which is capable of measuring the availability and reliability of the provisioned services in different providers. To this end, a minimal metric monitoring service has been designed and used together with a service monitoring solution to measure cloud performance. The transparent and cost effective operation on commercial clouds and the capability to simultaneously monitor both private and public clouds were the major design goals of this integrated cloud monitoring approach. Finally, the evaluation of our proposed solution is presented on different private IaaS systems participating in federations. © 2013 Springer Science+Business Media Dordrecht

    Riding out of the storm: How to deal with the complexity of grid and cloud management

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    Over the last decade, Grid computing paved the way for a new level of large scale distributed systems. This infrastructure made it possible to securely and reliably take advantage of widely separated computational resources that are part of several different organizations. Resources can be incorporated to the Grid, building a theoretical virtual supercomputer. In time, cloud computing emerged as a new type of large scale distributed system, inheriting and expanding the expertise and knowledge that have been obtained so far. Some of the main characteristics of Grids naturally evolved into clouds, others were modified and adapted and others were simply discarded or postponed. Regardless of these technical specifics, both Grids and clouds together can be considered as one of the most important advances in large scale distributed computing of the past ten years; however, this step in distributed computing has came along with a completely new level of complexity. Grid and cloud management mechanisms play a key role, and correct analysis and understanding of the system behavior are needed. Large scale distributed systems must be able to self-manage, incorporating autonomic features capable of controlling and optimizing all resources and services. Traditional distributed computing management mechanisms analyze each resource separately and adjust specific parameters of each one of them. When trying to adapt the same procedures to Grid and cloud computing, the vast complexity of these systems can make this task extremely complicated. But large scale distributed systems complexity could only be a matter of perspective. It could be possible to understand the Grid or cloud behavior as a single entity, instead of a set of resources. This abstraction could provide a different understanding of the system, describing large scale behavior and global events that probably would not be detected analyzing each resource separately. In this work we define a theoretical framework that combines both ideas, multiple resources and single entity, to develop large scale distributed systems management techniques aimed at system performance optimization, increased dependability and Quality of Service (QoS). The resulting synergy could be the key 350 J. Montes et al. to address the most important difficulties of Grid and cloud management

    Cloud computing and RESERVOIR project

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    The support for complex services delivery is becoming a key point in current internet technology. Current trends in internet applications are characterized by on demand delivery of ever growing amounts of content. The future internet of services will have to deliver content intensive applications to users with quality of service and security guarantees. This paper describes the RESERVOIR project and the challenge of a reliable and effective delivery of services as utilities in a commercial scenario. It starts by analyzing the needs of a future infrastructure provider and introducing the key concept of a service oriented architecture that combines virtualisation-aware grid with grid-aware virtualisation, while being driven by business service management. This article will then focus on the benefits and the innovations derived from the RESERVOIR approach. Eventually, a high level view of RESERVOIR general architecture is illustrated

    An Epididymis-Specific Secretory Protein HongrES1 Critically Regulates Sperm Capacitation and Male Fertility

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    Mammalian sperm capacitation is an essential prerequisite to fertilizion. Although progress had been made in understanding the physiology and biochemistry of capacitation, little is known about the potential roles of epididymal proteins during this process. Here we report that HongrES1, a new member of the SERPIN (serine proteinase inhibitor) family exclusively expressed in the rat cauda epididymis and up-regulated by androgen, is secreted into the lumen and covers the sperm head. Co-culture of caudal sperms with HongrES1 antibody in vitro resulted in a significant increase in the percentage of capacitated spermatozoa. Furthermore, the percentage of capacitated spermatozoa clearly increased in rats when HongrES1 was down-regulated by RNAi in vivo. Remarkably, knockdown of HongrES1 in vivo led to reduced fertility accompanied with deformed appearance of fetuses and pups. These results identify HongrES1 as a novel and critical molecule in the regulation of sperm capacitation and male fertility

    The Czech e-Infrastructure and the European Grid Infrastructure Perspective

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    Part 8: High Performance Computing and BigDataInternational audienceNational e-Infrastructures are playing an increasingly important role in the support of complex computational and data requirements from all scientific disciplines, environmental informatics not excepting. Since 1996, such an e-Infrastructure is developed and operated in the Czech Republic, with its emphasis shifting from a shared uniform distributed infrastructure to a more user-tailored environment. Its development relates (and in some cases precedes) the evolution of European Grid Infrastructure (EGI), with its current vision of an Open Science Commons concept. While the current e-Infrastructure concept and its implementation is of a very generic nature, it can be tailored to specifically cover different needs of environmental applications. This paper gives an overview of the Czech national e-Infrastructure, its connection to EGI and a number of applications from environmental science domains

    Layered Pre-selection Model Based on the Trust Mechanism for Web Educational Resources

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    A Cloud Provider Description Schema for Meeting Legal Requirements in Cloud Federation Scenarios

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    Part 3: Security, Access Control and Legal Requirements in Cloud SystemsInternational audienceThe advent of Cloud computing has created numerous significant challenges with regard to manipulation of data and especially personal data in cases of Clouds and federated Clouds. Existing legislation currently creates constraints and boundaries in the free usage of external Cloud providers. The aim of this paper is to provide a schema definition and usage mechanism (CPDS) that includes various levels of legal information that is necessary for automating the process of Cloud provider selection and data outsourcing. Thus the aforementioned constraints may be checked in an automated and machine understandable fashion and fully harvest the potential that is created by advances in Cloud computing like dynamic federation. In this direction, legal gaps and necessary actions are identified so that the automation avoids manual and bureaucratic steps that are necessary at the moment
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