Observatorio de I+D+i UPM

Memorias de investigación
Conferences:
"CumuloNimbo: Parallel-Distributed Transactional Processing".
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
CumuloNimbo aims at solving the lack of scalability of transactional applications that represent a large fraction of existing applications. CumuloNimbo aims at conceiving, architecting and developing a transactional, coherent, elastic and ultra scalable Platform as a Service. Its goals are: Ultra scalable and dependable, able to scale from a few users to many millions of users while at the same time providing continuous availability; Support transparent migration of multi-tier applications (e.g. Java EE applications, relational DB applications, etc.) to the cloud with automatic scalability and elasticity. Avoid reprogramming of applications and non-transparent scalability techniques such as sharding. Support transactions for new data stores such as cloud data stores, graph databases, etc.The main challenges are: Update ultrascalability (million update transactions per second and as many read-only transactions as needed). Strong transactional consistency. Non-intrusive elasticity. Inexpensive high availability. Low latency. CumuloNimbo goes beyond the state of the art by scaling transparently transactional applications to very large rates without sharding, the current practice in Today?s cloud. In this paper we describe CumuloNimbo architecture and its performance.
International
Si
Entity
Cloud Futures 2012.
Entity Nationality
E.E.U.U. DE AMERICA
Place
Berkeley, California, United States
Participants
  • Autor: Ricardo Jimenez Peris (UPM)
  • Autor: Marta Patiño Martinez (UPM)
  • Autor: Ivan Brondino (UPM)
  • Autor: Bettina Kemme (McGill University)
  • Autor: José Pereira (University Minho)
  • Autor: Rui Oliveira (University Minho)
  • Autor: Ricardo Vilaça (University Minho)
  • Autor: Yousuf Ahmad (McGill University)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
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