Laura Cristiana Voicu and Heiko SchuldtInProceedings
|Number of Month||11|
|Appears in||Proceedings of the 1st International Workshop on Cloud Data Management (CloudDB 2009)|
|Location||Hong Kong, China|
Cloud computing has recently received considerable attention both in industry and academia. Due to the great success of the first generation of Cloud-based services, providers have to deal with larger and larger volumes of data. Quality of service agreements with customers require data to be replicated across data centers in order to guarantee a high degree of availability. In this context, Cloud Data Management has to address several challenges, especially when replicated data are concurrently updated at different sites or when the system workload and the resources requested by clients change dynamically. Mostly independent from recent developments in Cloud Data Management, Data Grids have undergone a transition from pure file management with read-only access to more powerful systems. In our recent work, we have developed the Re:GRIDiT protocol for managing data in the Grid which provides concurrent access to replicated data at different sites without any global component and supports the dynamic deployment of replicas. Since it is independent from the underlying Grid middleware, it can be seamlessly transferred to other environments like the Cloud. In this paper, we compare Data Management in the Grid and the Cloud, briefly introduce the Re:GRIDiT protocol and show its applicability for Cloud Data Management.
Laura Cristiana Voicu
Cloud Data Management
Dynamic Data Replication in the Grid with Freshness and Correctness Guarantees (PhD Thesis)