Key Technologies for Data Management: 21st British National by Domenico Laforenza (auth.), Howard Williams, Lachlan

By Domenico Laforenza (auth.), Howard Williams, Lachlan MacKinnon (eds.)

This 12 months marked the arrival of age of the British nationwide convention on Databases with its twenty first convention held at Heriot-Watt college, Edinburgh, in July 2004. To mark the get together the final subject of the convention was once “When facts Is Key”, reflecting not just the conventional key presented on a twenty first birthday, but additionally the ev- turning out to be significance of digital information administration in each element of our smooth lives. The convention was once run as a part of DAMMS (Data research, Manipulation, administration and garage) Week, which incorporated a couple of co-located and complementary meetings and workshops, together with the second Workshop on educating, studying and evaluation in Databases (TLAD2), the BNCOD BioInformatics Workshop, and the first overseas convention at the way forward for patron perception advancements in Retail Banking. the purpose of this co-location used to be to improve synergies among the instructing, study and advertisement groups eager about all elements of database actions, and to exploit BNCOD as a spotlight for destiny synergies and advancements inside of those groups. even though this can be entitled the British nationwide convention on Databases, BNCOD has regularly had a world concentration, and this yr greater than so much, with the vast majority of the papers submitted and authorized coming from outwith the UK.

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Extra resources for Key Technologies for Data Management: 21st British National Conference on Databases, BNCOD 21, Edinburgh, UK, July 7-9, 2004. Proceedings

Example text

Second, the PCS has minimal tuple latency among all path based scheduling strategies. At any time instant, consider OPs which have tuples in their input queues in the system, with their capacities respectively. Without loss of generality, we assume that The PCS has a schedule of that is to serve the tuple of OP following the tuple of OP and so on. In the simplest case where the total tuple latency where is the total waiting time of all the tuples in the system due to processing the tuple at operator If we switch any two tuples (two paths), say where in the PCS, then the total tuple latency The difference of two tuple latency because of and Similarly, for the general case, by switching any two tuples in two input queues of these k OPs, we still have Therefore, any other scheduling strategy causes at least the same total tuple latency or mean delay that the PCS causes.

Tree and single-join DAG queries are introduced below. A path query is a query where in E (1) the head is the only nonsource variable, (2) there is exactly one non-sink variable, (3) each variable occurs at most once as source and at most once as sink variable, and (4) there is no subset of atomic expressions such that source and sink of a conjunction of these atomic expressions are the same variable. RPQ paths correspond to XPath path expressions without predicates. Fig. 1(a) shows the path query A tree query is a path query where the first restriction is dropped and the third one is eased: each variable may occur in E at most once as sink but might occur several times as source of expressions.

At this point, it is impossible for the a-node to have further b-node children. Thus, the stream fragment corresponding to a potential answer has to be buffered as long as it is not known whether predicates that might apply are satisfied or not, but no longer. A non-empty condition annotating a node is replaced by an and (or) transducer with a new condition where is the stack size of that transducer. The transducer also pushes on its stack, and forwards to its condition determinant transducer cd (cd-and or cd-or) the condition mapping Each subnetwork routed at that and (or) transducer receives and when is received from all (at least one) ingoing edges of the cd-and (cd-or), is considered satisfied.

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