Execution Planning for Continuous Queries over Dissemination Network of Data Aggregators

  IJCOT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© - October Issue 2013 by IJCTT Journal
Volume-4 Issue-10                           
Year of Publication : 2013
Authors :M .Naresh Kumar , R.Sailaja

MLA

M .Naresh Kumar , R.Sailaja"Execution Planning for Continuous Queries over Dissemination Network of Data Aggregators "International Journal of Computer Trends and Technology (IJCTT),V4(10):3476-3484 October Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract:- Normally continuous queries are those used, to observe the dynamically changing data and to give results helpful for Online decision making. Generally a user wants to achieve the value of few aggregation functions over shared data items, for example, to regulate when the value of a stock portfolio exceeds a threshold. We focus on approaches and techniques to assign such dynamically changing data to a large number of users with high accuracy, efficiency, and scalability. In these queries a client maintains a consistency requirement as part of the query. We come up with a minimal –cost based approach to answer continuous aggregation queries using a network of aggregators of dynamic data items. In that network of data aggregators, each data aggregator handles a set of data items at definite coherencies. Our technique is splitting a client query into sub-queries and executing sub-queries on properly chosen data aggregators with their respective sub-query incoherency bounds. We give a mechanism for collecting the optimal set of sub-queries with their inconsistency bounds which satisfies client query’s coherency requirement with minimum number of update messages issued from aggregators to the client. We layout a cost based model which can be used to evaluating the number of messages prescribed to satisfy the client specified incoherency bound .

 

References -
[1] Rajeev Gupta, Kirthi Ramamrithm, “Query Planning for Continuous Aggregation Queries Over a Network of data Aggregators “, IEEE 2012 Transactions on Knowledge and Data Engineering, Vol .24, Issue: 6
[2] A. Davis, J.Praikh and W.Weihl, “Edge Computing Extending Enterprise Applications to The Edge Of the Internet”, WWW 2004.
[3] D.VanderMeer, A.Datta, K.Dutta, H.Thomas and Ramamritham, Proxy –Based Acceleration of Dynamically Generated Content on the World Wide Web”, ACM Transactions on Database Systems (TODS) Vol.29, June 2004.
[4] S.Rangarajan, S.Mukerjee and P.Rodriguez, “User Specific Request Redirection in a Content Delivery network “, 8 Intl .Workshop on Web Content Caching and Distribution (IWCW), 2003.
[5] S.Shah, K.Ramamritham, and P.Shenoy, “Maintaining Coherency of Dynamic Data in Cooperating Repositories “, VLDB 2002.
[6] C.Olston, J.Jiang and J.Widom ,”Adaptive Filter for Continuous Queries Over Distributed Data Streams”.SIGMOD2003
[7] S Shah, K .Ramamritham, and C.Ravishankar “Client Assignment in Content Dissemination Networks for Dynamic Data “ , VLDB 2005.
[8] R Gupta , A Puri , and K.Ramamritham , “ Executing Incoherency Bounded Continuous Queries at Web Data Aggregators”, WWW 2005.
[9] Y.Zhou, B. Chin Ooi and Kian-Lean Tan, “Disseminating Streaming Data in a Dynamic Environment: An Adaptive and Cost Based Approach “, The VLDB Journal, Issue 17, Pg.1465- 1483, 2008
[10] S.Madden, M.J.Franklin, J.Hellerstein and W.Hong, “TAG: a Tiny Aggregation Service for Ad-Hoc Sensor Networks “, Proc. Of 5 th Symposium on Operating Systems Design and Implementation,2002.
[11] S. Agrawal, K. Ramamritham and S. Shah, “Construction of a Temporal Coherency Preserving Dynamic Data Dissemination Network “, RTSS 2004.
[12] A.Iyenger and J.Challenger , “Improving Web server Performance by Caching Dynamic Data” . Proceedings of the USENIX Symposium on Internet Technologies and System (USEITS) 1997.
[13] R. Srinivasan, C .Liang, K. Ramamritham, “Maintaining temporal coherency of Virtual Datawarehouses. “, Proceedings of the IEEE –Real time Systems Symposium P.60, December 02-04,1998

Keywords :— Coherency, Continuous queries, Cost, Distributed query processing, Data dissemination, Performance.