Coordinatore | TECHNISCHE UNIVERSITAET DARMSTADT
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
Nazionalità Coordinatore | Germany [DE] |
Totale costo | 2˙280˙998 € |
EC contributo | 2˙280˙998 € |
Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
Code Call | ERC-2012-ADG_20120216 |
Funding Scheme | ERC-AG |
Anno di inizio | 2013 |
Periodo (anno-mese-giorno) | 2013-03-01 - 2018-02-28 |
# | ||||
---|---|---|---|---|
1 |
TECHNISCHE UNIVERSITAET DARMSTADT
Organization address
address: Karolinenplatz 5 contact info |
DE (DARMSTADT) | hostInstitution | 2˙280˙998.00 |
2 |
TECHNISCHE UNIVERSITAET DARMSTADT
Organization address
address: Karolinenplatz 5 contact info |
DE (DARMSTADT) | hostInstitution | 2˙280˙998.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'Cloud computing is changing our perception of computing: The Internet is becoming the computer and the software: (a) vast data centers and computing power are available via the Internet (infrastructure as a service), (b) software is available via the Internet as a service (software as a service). Building on the promise of unlimited processing/storage power, applications today process big amounts of data scattered over the cloud and react to events happening across the cloud. Software services must be both standard components to pay off for their provider and highly configurable and customizable to serve competitive needs of multiple tenants. Developing such applications is challenging, given the predominant programming technology, whose fundamental abstractions were conceived for the traditional computing model. Existing abstractions are laid out to process individual data/events. Making the complexity of applications processing big data/events manageable requires abstractions to intentionally express high-level correlations between data/events, freeing the programmer from the job of tracking the data and keeping tabs on relevant events across a cloud. Existing abstractions also fail to reconcile software reuse and extensibility at the level of large-scale software services.
PACE will deliver first-class linguistic abstractions for expressing sophisticated correlations between data/events to be used as primitives to express high-level functionality. Armed with them, programmers will be relieved from micromanaging data/events and can turn their attention to what the cloud has to offer. Applications become easier to understand, maintain, evolve and more amenable to automated reasoning and sophisticated optimizations. PACE will also deliver language concepts for large-scale modularity, extensibility, and adaptability for capturing highly polymorphic software services.'