Transparent Scalability with Clustering for Java e-Science Applications
International audience 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 d...
| Main Authors: | , , |
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| Other Authors: | , , , , , |
| Format: | Conference Object |
| Language: | English |
| Published: |
HAL CCSD
2011
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| Subjects: | |
| Online Access: | https://inria.hal.science/hal-01583574 https://inria.hal.science/hal-01583574/document https://inria.hal.science/hal-01583574/file/978-3-642-21387-8_22_Chapter.pdf https://doi.org/10.1007/978-3-642-21387-8_22 |
| Summary: | International audience 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. |
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