ADAPTIVE SHARING METHOD FOR MULTIPLE CONTINUOUS QUERY
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 3
Abstract
As the data management field has diversified to consider settings in which queries are increasingly complex, statistics are less available, or data is stored remotely, there has been an acknowledgment that the traditional optimize-then-execute paradigm is insufficient. The main objective of our project is to develop and produce an optimized global execution plan for the collective evaluation of a static set of multi-way continuous queries. Generally in a data stream environment, a considerable number of continuous queries are registrated in advance and should be processed continuously. For that there is a need of multiple query optimizations. For this purpose, this paper proposes a new method called A-SEGO that optimizes a set of multi-way join queries collectively by tracing a set of promising subplans. The proposed approach uses a cost profile that maintains statistical synopses of the cost of join operations in past global execution plans. Based on these cost statistics and on a user-defined cost-bound parameter, a set of promising subplans is determined to trace them concurrently. This paper focuses on producing an optimized global execution plan for the collective evaluation of a static set of multi-way continuous queries. In real data stream applications, a set of continuous queries registered in a DSMS can be changed as time goes. Therefore, it is necessary to devise an incremental optimization mechanism. With this approach, the system needs to store existing query computations, identify the common computations between the new query and the existing query plan, choose optimally among multiple sharing paths, and add unsharable new computations to the plan[4].
Authors and Affiliations
Mariat Thomas , Mr. G. Naveen Sundar
Keywords
Related Articles
- EP ID EP151724
- DOI -
- Views 118
- Downloads 0
Determination of Noise Levels in Using AMS Features of Noisy Speech Signal and Their Comparison
Great difficulty in recognizing speech is under a noisy background. The signal to noise ratio plays a very important role in speech recognition techniques. The signal to noise ratio is the ratio of the signal estim...
A Survey on Security in Palmprint Recognition: A Biometric Trait
Biometric based authentication and recognition, the science of using physical or behavioral characteristic for identity verification is becoming a security principal in many areas. Their utilization as an authentic...
Bandwidth and Energy Management in Wireless Sensor Networks
The emergence of sensor networks as one of the dominant technology trends in the coming decades has posed numerous problems regarding the Quality of Service (QoS) parameter to researchers. These QoS parameters are...
Accurate Spam Mail Detection using Bayesian Algorithm
— With the increasing popularity of a E-mail users, E-mail spam problem growing proportionally. Spam filtering with near duplicate matching scheme is widely discussed in recent years. It is based on a known spam...
EVALUATION OF GABOR FILTER PARAMETERS FOR IMAGE ENHANCEMENT AND SEGMENTATION
This work provides the knowledge about the working of Gabor filters for ten different types of images. A comparative study is based on the output of the noisy and the filtered images using Gabor filter. This proc...