A Distributed Stream Query Optimization Framework through Integrated Planning and Deployment

2009 ◽  
Vol 20 (10) ◽  
pp. 1439-1453 ◽  
Author(s):  
S. Seshadri ◽  
V. Kumar ◽  
B. Cooper ◽  
Ling Liu
Keyword(s):  
Query Optimization ◽  
Integrated Planning ◽  
Optimization Framework

scholarly journals SQOPI: Semantic Query Optimization Framework

2014 ◽  
Vol 96 (6) ◽  
pp. 27-32 ◽  
Author(s):  
Mohamed MounirHassan ◽  
Ahmed Mohammed Sultan
Keyword(s):  
Query Optimization ◽  
Semantic Query ◽  
Optimization Framework ◽  
Semantic Query Optimization

scholarly journals A Multi-Staged Blackboard Query Optimization Framework for World-Spanning Distributed Database Resources

2011 ◽  
Vol 4 ◽  
pp. 156-165 ◽  
Author(s):  
Peter Paul Beran ◽  
Werner Mach ◽  
Erich Schikuta ◽  
Ralph Vigne
Keyword(s):  
Query Optimization ◽  
Distributed Database ◽  
Optimization Framework

A Big Data Query Optimization Framework for Telecom Customer Churn Analysis

2021 ◽  
pp. 475-484
Author(s):  
Aarti Chugh ◽  
Vivek Kumar Sharma ◽  
Manjot Kaur Bhatia ◽  
Charu Jain
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Customer Churn ◽  
Optimization Framework ◽  
Data Query ◽  
Churn Analysis

scholarly journals An Optimization Framework for Solving Integrated Planning and Scheduling Problems for Dense Energy Carriers

2021 ◽  
Vol 54 (3) ◽  
pp. 621-626
Author(s):  
R. Cory Allen ◽  
Stefanos G. Baratsas ◽  
Rahul Kakodkar ◽  
Styliani Avraamidou ◽  
Joseph B. Powell ◽  
...  
Keyword(s):  
Scheduling Problems ◽  
Integrated Planning ◽  
Planning And Scheduling ◽  
Energy Carriers ◽  
Optimization Framework

Query grouping-based multi-query optimization framework for interactive SQL query engines on Hadoop

2018 ◽  
Vol 30 (19) ◽  
pp. e4676 ◽  
Author(s):  
Ling Chen ◽  
Yan Lin ◽  
Jingchang Wang ◽  
Heqing Huang ◽  
Donghui Chen ◽  
...  
Keyword(s):  
Query Optimization ◽  
Optimization Framework ◽  
Sql Query

Semantic Query Optimization: Correctness and Control

2006 ◽  
Vol 10 (3) ◽  
pp. 270-280
Author(s):  
Pongtawat Chippimolchai ◽  
◽  
Kiyoshi Akama ◽  
Vilas Wuwongse ◽  
Keyword(s):  
Query Optimization ◽  
Control Strategy ◽  
Semantic Knowledge ◽  
Integrity Constraints ◽  
Equivalent Transformation ◽  
Two Phase ◽  
Semantic Query ◽  
Optimization Framework ◽  
Semantic Query Optimization ◽  
And Control

We developed a semantic query optimization framework for deductive databases based on equivalent transformation (ET) rules. ET rules, prepared from the semantic knowledge of databases, such as integrity constraints, transform given queries into syntactically different but semantically equivalent and more efficient forms. We formally prove the correctness of query transformations by ET rules. For efficiency, we propose a two-phase heuristic-based strategy to guide query transformations and introduce a condition-based control strategy to prevent unwanted, unnecessary transformations. We give examples demonstrating the possible optimization.

scholarly journals FQ-BF: An Efficient Forwarding and Query Optimization Framework based on Bloom Filters in NDN

2019 ◽  
Vol 8 (4) ◽  
pp. 1001-1006
Keyword(s):  
Query Optimization ◽  
Search Algorithm ◽  
Bloom Filters ◽  
Communication Model ◽  
Data Generation ◽  
Average Delay ◽  
Data Intensive ◽  
Optimization Framework ◽  
Internet Users ◽  
Content Search

With the increase in internet users and data generation resources; Named Data Networking (NDN), a content-driven communication model that has come into the limelight. Most of the applications in today’s world are data-intensive, prefer a data-based network over the address-based network for communication. Continuous efforts by researchers try to optimize the NDN performance in various areas like routing, forwarding, caching, security, etc. NDN basically works on searching for the required data packet, so the content search is one of the promising areas in NDN that still needs improvement. This paper proposes a novel content search algorithm based on Bloom Filters (BF) named FQ-BF; which focuses on efficient and smart forwarding of I_pkt and reduces the number of queries to search a packet in the network. The important metrics where the proposed approach has shown significant improvement as compared to standard NDN approach; include the average delay of packets, improving the packet serving capacity of the network.

PERBAIKAN TATA LETAK LANTAI PRODUKSI INDUSTRI MEBEL MENGGUNAKAN METODE GRAFIK DAN ALGORITMA CRAFT

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Kuswanto Kuswanto ◽  
Juan Junius ◽  
Anita Christine Sembiring
Keyword(s):  
Operating System ◽  
Material Handling ◽  
Facility Layout ◽  
Integrated Planning ◽  
Furniture Manufacturing ◽  
Milling Machines ◽  
Material Handling Costs ◽  
The Cost ◽  
A Company ◽  
Research Show

Facility layout is integrated planning of the flow of a product in an operating system to obtain the most effective and efficient interrelation between workers, materials, machinery, and equipment as well as handling and transferring materials. A company engaged in furniture manufacturing has a problem in its production process, namely, the distance between machines is too far so that it affects the cost of handling materials. Distant workstations are found on profile machines, milling machines, measuring machines, cutting machines. Therefore, improvements must be made to the layout of facilities on the production floor so that facility layout is efficient and material handling costs are reduced. The problem-solving approach used is the Graph Method and CRAFT Algorithm. The results of the research show that material handling costs are reduced by 7.58% or Rp. 17,765 using the CRAFT algorithm.

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