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Citeseerx - document details isaac councill lee giles pradeep teregowda many xml query processing techniques have been proposed for processing structural joins these algorithms find all element sets that satisfy the query pattern efficiently however sometimes we only need an aggregate value of the final result simpler algorithms are needed for processing the aggregate.
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Since the processing of a tumbling window query is the same as multiple invocations of a single window aggregate query, we assume 0 w without loss of generality in the rest of paper. to make our presentation simpler, we also assume that q w is invoked at timestamp 1 in this.
Citeseerx - document details isaac councill, lee giles, pradeep teregowda many xml query processing techniques have been proposed for processing structural joins. these algorithms find all element sets that satisfy the query pattern efficiently. however, sometimes we only need an aggregate value of the final result. simpler algorithms are needed for processing the aggregate.
Aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead two-phase algorithm. however, in cloud architectures, the communi-cation cost overhead is an important factor in query processing. thus, we consider communication overhead to improve the distributed query.
The key technologies of starcache about aggregate query processing, cache replacement and consistency maintenance etc..
Probabilistic threshold range aggregate query processing over uncertain data shuxiang yang, wenjie zhang, ying zhang, and xuemin lin the university of new south wales, australia the university of new south wales nicta,.
Query processing issue and propose the definition of a query layer that improves the capabilities of a generic sensor network, and define a de-clarative language for efficiently in-network query processing. schlesinger et al. in 12 combine the grid framework with sensor data-base systems. a query to the system is sent to one of the grid.
Online analytical processing olap is a core functionality in database systems. the performance of olap is crucial to make online decisions in many applications. however, it is rather costly to support olap on large datasets, especially big data, and the methods that compute exact answers cannot meet the high-performance requirement. to alleviate this problem, approximate query processing.
Osti.gov miscellaneous relational aggregate query processing techniques for real-time databases title relational aggregate query processing techniques for real-time databases full.
Partial aggregation reduces the overall query processing cost by processing each input tuple only once by the sub-aggregate opera-tor to produce partial aggregates. as the window slides, only par-tial aggregates are buffered and processed to generate new results. clearly, smaller number of partial aggregates means fewernal.
Made by the aggregate network operations during query processing. for this purpose, different techniques based on the clustering graph model are proposed in the literature. in this work, we show that the state-of-the-art clustering graph model is not able to correctly capture the disk access costs of aggregate network.
Space for multi-granularity aggregate query process-ing, a novel approach is presented, which could de-creases the time overhead of query processing from om to ologm, where m is the number of win-dows being monitored. an efcient synopsis, called inverted histogram ih, is employed, and the algorithm for query processing is.
Aggregate query processing of streaming xml data yaw-huei chen and ming-chi ho department of computer science and information engineering national chiayi university ychen, s0920206mail.ncyu.edu.tw abstract 19, 1 abc a1 b1 a2 b2 c1 many xml query processing techniques have b query been proposed for processing structural joins..
Two key parameters for query processing over continuous data-streams are 1 the amount of memory made available to the on-line algorithm, and 2 the per-item processing timerequired by the query processor. the former constitutes an important constraint on the design of stream processing algorithms, since in a.
Correct and efcient processing of the data. also, we focus on the analysis of aggregate queries over a single table, to avoid mixing issues with joins over uncertain schema mappings. our analysis tests the effect of executing an aggregate query over a single table or a table that is the result of any spj.
We present a novel approach to processing continuous aggregate queries in sensor networks, which lifts the as-sumption of tree-based routing. given a query workload and a special-purpose gateway node where results are ex-pected, the query optimizer exploits query correlations in order to generate an energy-efcient distributed evaluation.
Been somewhat limited in their query processing scope , typi-cally focusing on specic forms of aggregate queries . besides the type of queries supported, another crucial aspect of an ap-proximate query processing technique is the employed data reduction mechanism that is, the method used.
Processing network data streams measurement alarms network operations center data-stream join query telcolan router telcolan router telcolan router telcolan router telcolan router telcolan router r3 where r1.a r2.b r3.c from r1, r2, r3 select count r1 r 2 challenge deal with large amounts of streaming data using small.
The location-based aggregate queries, consisting of the shortest average distance query savgdq, the shortest minimal distance query smindq, the shortest maximal distance query smaxdq, and the shortest sum distance query ssumdq are new types of location-based queries. such queries can be used to provide the user with useful object information by considering both the spatial closeness of.
Recall that the cost of aggregate network query processing includes the costs of gas and gss operations and the cost of priority queue operations. increasing p and the buffer size independently decrease the number of disk accesses in both models since the chance of assigning concurrently accessed records to the pages that are already in the.
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