A scalable distributed information management system

Yalagandula, Praveen; Dahlin, Mike

doi:10.1145/1015467.1015509

Cited by 170 publications

(139 citation statements)

References 26 publications

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“…Astrolabe [10] provides the abstraction of a single logical aggregation tree with administrative hierarchy for autonomy and isolation. Scalable distributed information management system (SDIMS) [11] is implemented based on the same approach and provides an aggregation abstraction on top of an overlay satisfying scalability, flexibility, autonomy, isolation, and robustness. SDIMS organizes nodes as an aggregation tree where leaf nodes are the physical machines of the system, and internal nodes, represented as virtual nodes, correspond to an administrative domain for information management.…”

Section: Related Workmentioning

confidence: 99%

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Arefin

Uddin

Gupta

et al. 2009

2009 29th IEEE International Conference on Distributed Computing Systems

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Section: Related Workmentioning

confidence: 99%

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Arefin

Uddin

Gupta

et al. 2009

2009 29th IEEE International Conference on Distributed Computing Systems

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“…A large amount of efforts was contributed to the area of continuous or pervasive query processing [12,8,13,14,15,16,17]. The query optimization engine in DObjects is most closely related to SBON [18].…”

Section: Data Streams and Continuous Queriesmentioning

confidence: 99%

Dynamic Query Processing for P2P Data Services in the Cloud

Jurczyk

Xiong

2009

Lecture Notes in Computer Science

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Abstract. With the trend of cloud computing, data and computing are moved away from desktop and are instead provided as a service from the cloud. Data-as-a-service enables access to a wealth of data across distributed and heterogeneous data sources in the cloud. We designed and developed DObjects, a general-purpose P2P-based query and data operations infrastructure that can be deployed in the cloud. This paper presents the details of the dynamic query execution engine within our data query infrastructure that dynamically adapts to network and node conditions. The query processing is capable of fully benefiting from all the distributed resources to minimize the query response time and maximize system throughput. We present a set of experiments using both simulations and real implementation and deployment.

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“…In the area of peerto-peer aggregation protocols, the most closely related projects besides Astrolabe are DASIS [6], Cone [7], SDIMS [8], SOMO [9], and PIER [10]. DASIS uses a Kademlia-like structure and aggregates information about the members in a way quite similar to Willow.…”

Section: Related Workmentioning

confidence: 99%

Willow: DHT, Aggregation, and Publish/Subscribe in One Protocol

Renesse

Bozdog

2005

Lecture Notes in Computer Science

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Abstract-This paper describes a new peer-to-peer protocol that integrates DHT routing, aggregation, allto-all multicast, as well as both topic-and content-based publish/subscribe. In spite of this extensive set of features, the Willow protocol is simple, scalable, balances the load well across the members, is proximity-aware, adapts to network conditions, and recovers quickly and gracefully from network partitions and subsequent repairs.

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A scalable distributed information management system

Cited by 170 publications

References 26 publications

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework

Dynamic Query Processing for P2P Data Services in the Cloud

Willow: DHT, Aggregation, and Publish/Subscribe in One Protocol

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