- Sponsor:
- sigops
Relational databases have been for a long time the keystone of information systems' dependability. There is however a growing call for unprecedented levels of scalability that challenges traditional data management architectures, namely, to cope with cloud computing and peer-to-peer systems. A major trend in all such emerging proposals, with a profound impact in dependability, is that large scale distribution is a core assumption in their design.
The goal of Workshop on Dependable Distributed Data Management is thus to bring together researchers and practitioners from systems, database and dependability communities to discuss the current state of the art, pending challenges and trends, and novel solutions in the design, implementation and deployment of distributed and dependable data management systems.
For the current edition, co-located with the EuroSys 2009 Conference in Nuremberg, Germany, position papers were solicited and selected based on their relevance to the workshop topic, looking forward to a lively and fruitful debate. In the end, nine papers were select in topics ranging from distributed database dependability, manageability, and scalability, to messaging infrastructures, and data management service abstractions. The workshop program is complemented by a talk on the emerging cloud computing paradigm and a discussion panel.
Proceeding Downloads
Enterprise grade cloud computing
Cloud computing and the as-a-service paradigm have gained a lot of interest recently. The separation of service provider from infrastructure provider has made it much easier for new services to be established online quickly and with low financial risk, ...
A peer-to-peer architecture for multi-path data transfer optimization using local decisions
Data management (data retrieval and processing) performance in large-scale distributed systems (e.g. Grids, distributed databases, content delivery networks) is directly dependent on the efficiency and reliability of the communication architecture. The ...
XTream: an open, distributed platform for processing personal information streams
Personal information processing is an important and difficult challenge due to the many constraints involved and the need for open, easy to use systems. In the XTream project, we envision an extensible runtime platform and programming model that support ...
Optimising client accesses within Armada
The Armada model describes how a distributed database system evolves, using multiple nodes that together form the database. In such system, posing a query involves continuously locating the right node until sufficient data to answer the query has been ...
CLON: overlay network for clouds
Gossip-based protocols have been gaining an increasing interest from the research community due to the high resilience to node churn and high scalability, thus making them suitable to modern large-scale dynamic systems. Unfortunately, these properties ...
Highly available and scalable grid services
Grid computing infrastructures create many new challenges related to data management. Grids are typically deployed at a large scale, and one can only expect this scale to grow even more in terms of number of machines, locations and administrative ...
A simple approach to shared storage database servers
This paper introduces a generic technique to obtain a shared-storage database cluster from an off-the-shelf database management system, without needing to heavily refactor server software to deal with distributed locking, buffer invalidation, and ...
Clouder: a flexible large scale decentralized object store: architecture overview
The current exponential growth of data calls for massive-scale capabilities of storage and processing. Such large volumes of data tend to disallow their centralized storage and processing making extensive and flexible data partitioning unavoidable. This ...
mBrace: action-based performance monitoring of multi-tier web applications
Standard monitoring tools and web application middleware offer very limited support for detailed performance analysis of HTTP request-based, multi-tier web applications. They measure resource usage system-wide or per command name, but are unable to ...
- Proceedings of the Third Workshop on Dependable Distributed Data Management