Governance issues on heavy models in an industrial context

SWIFT is a member-owned cooperative providing secure messaging capabilities to the financial services industry. One critical mission of SWIFT is the standardization of the message flows between the industry players. The model-driven approach naturally came as a solution to the management of these message definitions. However, one of the most important challenges that SWIFT has been facing is the global governance of the message repository and the management of each element. Nowadays modeling tools exist but none of them enables the management of the complete life-cycle of the message models. In this paper wepresent the challenges that SWIFT had to face in the development of a dedicated platform.

 

Sabri Skhiri, Marc Delbaere, Yves Bontemps, Grégoire de Hemptinne, and Nam-Luc Tran, Governance issues on heavy models in an industrial context. Advances in Conceptual Modeling. Recent Developments and New Directions ER 2011, Brussels, Belgium, November 2011.

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Convergence between Cloud Infrastructure management and Data Centre management

The convergence – a reality

If we look at the evolution of private cloud, we can clearly see a natural convergence between Data Center Management (DCM) and IaaS management. It is natural because it fits better to the enterprise organization. Let’s be clear, we are talking about large organization, having already data centers for their own IT or businesses. The Services and software department are focusing on the elastic applications they can build on top of the infrastructure management such as Eucalyptus [1], OpenStack[2] or commercial solutions such as VCloud Director [3].

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Measuring elasticity for cloud databases

The rise of the Internet and the multiplication of data sources have multiplied the number of “Bigdata” storage problems. These data sets are not only very big but also tend to grow very fast, sometimes in a short period. Distributed databases that work well for such data sets need to be not only scalable but also elastic to ensure a fast response to growth in demand of computing power or storage. The goal of this article is to present measurement results that characterize the elasticity of three databases. We have chosen Cassandra, HBase, and mongoDB as three representative popular horizontally scalable NoSQL databases that are in production use. We have made measurements under realistic loads up to 48 nodes, using the Wikipedia database to create our dataset and using the Rackspace cloud infrastructure. We define precisely our methodology and we introduce a new dimensionless measure for elasticity to allow uniform comparisons of different databases at different scales. Our results show clearly that the technical choices taken by the databases have a strong impact on the way they react when new nodes are added to the clusters.

Thibault Dory, Boris Mejías, Peter Van Roy, and Nam-Luc Tran, Measuring Elasticity for Cloud Databases, proceedings of the Cloud Computing 2011 (Second International Conference on Cloud Computing, GRIDs, and Virtualization), Rome, Italy, September 2011.

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New SQL RDBMS Architectures Vs Old ones Vs NoSQL

Those recent years we have seen the NoSQL initiative emerging against the so-called “old, slow and legacy” relational DBs. But today the debate is extending with a newcomer “The New RDMS architecture”. The concept is simple, the RDMS architecture was developed a long time ago, at that time computer science,  computers and processors were extremely different from what we can find today. Why are we not able to gather the recent researches in storage, distributed computing and threading system to re-design a modern RDMS?

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RH Partner summit: full-speed, all in the same direction toward cloud

During my career, I have seen a lot of companies, especially multi-national companies, being disrupted by internal wars, arguments between departments, jealousy between projects and much more that you can imagine. What’s really impressive after one day assisting at the Red Hat partner summit conferences, is the clear vision, direction and alignment of the whole Red Hat products and projects in the same and unique direction: enterprise, data-centre and cloud.

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Red Hat EMEA Partner summit 2010 Keynote

Sunday 2nd of May, Euranova is at Valencia, Spain, for the Red Hat EMEA partner summit. The ceremony was opened by Jim Whitehurst, the Red Hat CEO in a keynote on the open source opportunity. The key message in the keynote was that every three years we can see an inflexion point in IT, in which business models, technologies and the delivery model completely change. In these last years we have seen this inflexion and arrival of virtualization, cloud and social networking. This keynote described how this point influences the IT and how it brings new challenges. The keynote was organized in three sections: (1) the problem, (2) The Red Hat business and (3) The solution.

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FOSDEM 2010: The Raise of the NoSQL initiative

What’s NoSQL?

Even if the name is really meaningless, the NoSQL defines a new generation of Key/value pair storage. This initiative is gaining popularity but also maturity. The FOSDEM dedicated a complete day and dev. room for this subject. The wikipedia definition defines this movement as: “NoSQL is an umbrella term for a loosely defined class of non-relational data stores that break with a long history of relational databases and ACID guarantees. Data stores that fall under this term may not require fixed table schemas, and usually avoid join operations. The term was first popularised in early 2009. Trends in computer architectures are pressing databases in a direction that requires horizontal scalability. NoSQL-style data stores attempt to address this requirement. Prominent closed-source examples are Google‘s BigTable and Amazon‘s Dynamo. Several open-source variants exist including Facebook‘s Cassandra, Apache HBase, LinkedIn‘s Project Voldemort and many others.”

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