Transparent Scalability with Clustering for Java e-Science Applications - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2011

Transparent Scalability with Clustering for Java e-Science Applications


The two-decade long history of events relating object-oriented programming, the development of persistence and transactional support, and the aggregation of multiple nodes in a single-system image cluster, appears to convey the following conclusion: programmers ideally would develop and deploy applications against a single shared global memory space (heap of objects) of mostly unbounded capacity, with implicit support for persistence and concurrency, transparently backed by a possibly large number of clustered physical machines.In this paper, we propose a new approach to the design of OODB systems for Java applications: (O3)2 (pronounced ozone squared). It aims at providing to developers a single-system image of virtually unbounded object space/heap with support for object persistence, object querying, transactions and concurrency enforcement, backed by a cluster of multi-core machines with Java VMs that is kept transparent to the user/developer. It is based on an existing persistence framework (ozone-db) and the feasibility and performance of our approach has been validated resorting to the OO7 benchmark.
Fichier principal
Vignette du fichier
978-3-642-21387-8_22_Chapter.pdf (255.87 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01583574 , version 1 (07-09-2017)





Pedro Sampaio, Paulo Ferreira, Luís Veiga. Transparent Scalability with Clustering for Java e-Science Applications. 11th Distributed Applications and Interoperable Systems (DAIS), Jun 2011, Reykjavik, Iceland. pp.270-277, ⟨10.1007/978-3-642-21387-8_22⟩. ⟨hal-01583574⟩
41 View
109 Download



Gmail Facebook X LinkedIn More