|Short description||The Federated Middleware aims to provide functionalities for enabling large-scale event storage, retrieval and dissemination capabilities by offering a publish/subscribe API on top of a peer-to-peer overlay network harnessing hosting nodes from possibly multiple - so heterogeneous - clouds at once.|
|Main research challenges||Configurable, easily programmable and Cloud based solution offering the concept of event cloud, encompassing:
|Beyond state of the art:||
|The role in the whole platform||The main role of the Federated Middleware in PLAY is the storage, retrieval and brokering of simple and complex events which will be used or delivered by the dCEP and by the SOA applications that rely on the PLAY middleware for being loosely-coupled along an Event Driven Architecture.|
The event cloud is comprised of federated P2P overlay networks combining high-performance elastic data processing infrastructure (grids, clouds), i.e. whose nodes acquisition and relinquishment can be dynamic and subject to a pay-per-use mode. Each node participating in the overlay networks will be responsible for managing the storage of subsets of the events, and will help in matching potential looked up events and disseminating them in a collaborative manner. As such, each node is also potentially an event broker responsible for managing subscriptions and routing notifications.
In order to provide such features, the event cloud will be built on top of previous work done at INRIA by the OASIS and SARDES teams. The Semantic Space, which manages RDF data, will serve as the primary P2P substrate for the event cloud. That means events, be they simple or complex, that the event cloud will manage will be represented as RDF triples. An emphasis will be put on building the content-based publish/subscribe layer so to manage long standing subscriptions for events. Indeed, the event cloud will also offer persistence of the events, in order to allow subscriptions pertaining to past events.
To summarize, the Federated Middleware component is a fundamental part for solving the challenges of the PLAY platform in general. By offering a publish/subscribe API further used by external bricks acting as clients of the event cloud (such as the dCEP, and the ESBs), clients of the Event-Cloud will be able to subscribe to patterns of events they are interested in (using a subset of the SPARQL language) and receive notifications upon matching. Besides, the structured P2P-based solution upon which the Event-Cloud will be built upon has as goal to ensure a certain level of QoS with regards to the topology’s reliability (due to peer churn and peer failures), event dissemination reliability (correct dissemination despite peer failures) and event storage reliability (using mainly replication mechanisms for ensuring event availability in case of peer crashes).
From the usage point of view, the Federated Middleware can handle the intrinsic distribution of event sources by e.g. creating one Event-Cloud instance per event source, also called event stream. Such a mapping offers the possibility to manage heterogeneous data by dedicating a stream and hence an Event-Cloud for each kind of data (for example one stream for weather data and another one for patients medical data). Per stream associated ELA translates in QoS related configuration at the corresponding event cloud side, in order to cope with fluctuating event flow, event criticality degree, event privacy or events ordering. Note that correlation of events originating from the various and heterogeneous event streams is delegated to the dCEP layer. As such, the dCEP role is of major importance for the PLAY platform to feature its federated nature.
Gautier Berthou, and Vivien Quéma. to appear in Proceedings of the International Middleware Conference Middleware, (2013)
Ludovic Henrio, Fabrice Huet, and Justine Rochas. International conference On Principles of DIstributed Systems OPODIS, to appear, (2013)
Ludovic Henrio, Fabrice Huet, and Zsolt István. Coordination Models and Languages, volume 7890 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)
Laurent Pellegrino, Fabrice Huet, Francoise Baude, and Amjad Alshabani. Data Management in Cloud, Grid and P2P Systems, Springer, (2013)
Roland Stühmer, Yiannis Verginadis, Iyad Alshabani, Thomas Morsellino, and Antonio Aversa. 14th IFIP Working Conference on Virtual Enterprise -- Special Session on Event-Driven Collaborative Networks, (2013)
L. Pellegrino, F. Baude, and I. Alshabani. CLOUD COMPUTING 2012, The Third International Conference on Cloud Computing, GRIDs, and Virtualization, page 243--246. (2012)
L. Pellegrino, I. Alshabani, F. Baude, R. Stuehmer, and N. Stojanovic. SBPM 2012, 7th International Workshop on Semantic Business Process Management, (2012)
Nenad Stojanovic, Roland Stühmer, Philippe Gibert, and Francoise Baude. Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems, (2012)
Imen Filali, Francesco Bongiovanni, Fabrice Huet, and Françoise Baude. Transactions on Large-Scale Data- and Knowledge-Centered Systems III, volume 6790 of Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 10.1007/978-3-642-23074-5_2.(2011)
Francesco Bongiovanni, and Ludovic Henrio. 8ème Conférence Française sur les Systèmes d'Exploitation CFSE'11, Chapitre français de l'ACM-SIGOPS, GDR ARP, (May 2011)
|PLAY D2.1 Requirements Event Cloud||2011-11-17||841.1 KB||1297|
|PLAY D2.5.1 Federated Middleware - Specification and Implementation V1||2012-04-02||727.77 KB||541|
|PLAY D2.5.2 Federated Middleware - Specification and Implementation V2||2013-10-30||1.78 MB||54|
|PLAY D3.3 Platform - Quality of Service||2013-10-30||1.45 MB||50|
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