This document discusses continuously evaluating relevant queries over streaming and distributed datasets. It proposes various maintenance policies for top-k continuous query answering using streams and distributed data. Preliminary results show that proposed policies like LRU.F+ and WBM.F* improve accuracy over state-of-the-art policies while maintaining sensitivity to parameters like refresh budget. Limitations include only considering join queries with filter clauses and top-k queries, as well as using a static rather than dynamic refresh budget.
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache SparkDatabricks
Interested in learning how Showtime is leveraging the power of Spark to transform a traditional premium cable network into a data-savvy analytical competitor? The growth in our over-the-top (OTT) streaming subscription business has led to an abundance of user-level data not previously available. To capitalize on this opportunity, we have been building and evolving our unified platform which allows data scientists and business analysts to tap into this rich behavioral data to support our business goals. We will share how our small team of data scientists is creating meaningful features which capture the nuanced relationships between users and content; productionizing machine learning models; and leveraging MLflow to optimize the runtime of our pipelines, track the accuracy of our models, and log the quality of our data over time. From data wrangling and exploration to machine learning and automation, we are augmenting our data supply chain by constantly rolling out new capabilities and analytical products to help the organization better understand our subscribers, our content, and our path forward to a data-driven future.
Authors: Josh McNutt, Keria Bermudez-Hernandez
Network and IT Ops Series: Build Production Solutions Neo4j
Jeff Morris, Director, Neo4j:Are you building a breakthrough product or extending an existing one? Do you need introduce new capabilities based on insights from data relationships? If so, you should consider embedding a graph database.
For software providers building products to assure quality network operations or security, using an embedded graph database may open new customer opportunities. Watch this webinar to learn how you can easily differentiate your applications and take your solutions to market faster with a native graph database like Neo4j.
apidays Paris 2022 - Sustainable API Green Score, Yannick Tremblais (Groupe R...apidays
apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022
Sustainable API Green Score
Yannick Tremblais, IT Innovation Manager at Groupe Rocher & Julien Brun, Head of APIs Center of Excellence at L'Oréal
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
Data-Driven Transformation: Leveraging Big Data at Showtime with Apache SparkDatabricks
Interested in learning how Showtime is leveraging the power of Spark to transform a traditional premium cable network into a data-savvy analytical competitor? The growth in our over-the-top (OTT) streaming subscription business has led to an abundance of user-level data not previously available. To capitalize on this opportunity, we have been building and evolving our unified platform which allows data scientists and business analysts to tap into this rich behavioral data to support our business goals. We will share how our small team of data scientists is creating meaningful features which capture the nuanced relationships between users and content; productionizing machine learning models; and leveraging MLflow to optimize the runtime of our pipelines, track the accuracy of our models, and log the quality of our data over time. From data wrangling and exploration to machine learning and automation, we are augmenting our data supply chain by constantly rolling out new capabilities and analytical products to help the organization better understand our subscribers, our content, and our path forward to a data-driven future.
Authors: Josh McNutt, Keria Bermudez-Hernandez
Network and IT Ops Series: Build Production Solutions Neo4j
Jeff Morris, Director, Neo4j:Are you building a breakthrough product or extending an existing one? Do you need introduce new capabilities based on insights from data relationships? If so, you should consider embedding a graph database.
For software providers building products to assure quality network operations or security, using an embedded graph database may open new customer opportunities. Watch this webinar to learn how you can easily differentiate your applications and take your solutions to market faster with a native graph database like Neo4j.
apidays Paris 2022 - Sustainable API Green Score, Yannick Tremblais (Groupe R...apidays
apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022
Sustainable API Green Score
Yannick Tremblais, IT Innovation Manager at Groupe Rocher & Julien Brun, Head of APIs Center of Excellence at L'Oréal
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
Describes the results of a National Renewable Energy Laboratory sponsored innovation project for designing tariffs, rates, and customer programs to incentivize the deployment of Distributed Energy Resources. In particular we examine customer-sited, centrally controlled energy storage (aka batteries) aggregated into a VPP. We propose a VPP operating strategy and quantify a number of value stream that could be realized by executing that strategy.
Making driver-based planning and budgeting workAnaplan
For Finance departments to best navigate through the twists and turns of today’s fast moving marketplace, a haphazard, once-a-year budgeting process just doesn’t cut it. To survive and thrive in this environment, this process needs to change to be more agile, align around a consistent set of resources, and attain a trusted level of accuracy.
One reliable way to transform your budgeting process is to integrate the modeling that budget contributors typically do on spreadsheets to deliver driver-based planning and budgeting. With benefits such as being able to rapidly reforecast with minimal effort, having operational capacity always aligned, and better decision making that comes from having a deeper insight into variances, it has obvious appeal. So why is it not more widely used?
View these slides from our webinar with Forrester Research and Proformative and watch the full webinar here: https://www.anaplan.com/webinars/driver-based-budgeting/
Last week, June 11th, AWS hosted a successful Partner Day in London, targeted at our existing APN partners.
This is what we've covered during the sessions:
- AWS product and services update
- The AWS partner program benefits and opportunities
- How to develop your partnership with AWS
- AWS competency program
- How to resell AWS services
Disintermediation. It’s a term we more often use when referring to the removal of intermediaries in economics from a supply chain. It’s how modern companies reduce liability and/or reduce costs. Rather than hiring employees in-house to do the work, they hire a sub-contracting company with different guiding principles.
It may bemuse you to suggest: your API program is probably operating the same way. Different API teams + different guiding principles = different supply chains. Producing their own products. Products that must be compatible with one another. Your customer will insist upon it. Maybe not today, but they will when they begin to scale their application. Can you imagine if a Lego block supply chain was producing a disparate type of Lego block? What if you had a hundred Lego supply chains?
A cohesive set of guiding principles is critical. For your API development teams, your “supply chains.” We’ve become so consumed with getting APIs out the door, getting our developer portal up, we’ve forgotten the most important thing. The human experience of our APIs. Of the app developer. And what app developer would want to use your APIs if they knew that two years down the road, they won’t be able to easily integrate your other supply chains?.
Leah will be talking about the guiding principles that are key to the compatibility of your supply chains. And to the future loyalty to your API program.
Supply Chain Network Design: Key Questions for a Successful Distribution NetworkHannah Flynn
As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. How many distribution centers do we even need, and is that number feasible? Can we use historical data to plan for demand and design our networks, or is there a better way?
If we're going to offer the speed of shipping and variety of inventory that today's customers have come to expect, there are a lot of different questions that need to be asked. Join Irina Rosca, Director of Supply Chain Operations at Helix and an experienced global supply chain strategist, as she walks through the key questions to a successful and efficient distribution network. You'll leave knowing what data you can start collecting today to answer these questions.
Case Study: It’s All About Data – And the CustomerJill Kirkpatrick
Utilities are unlocking the power of data by coordinating forms of information across organizational departments, applications and databases to personalize their services and put customer at the center of their businesses
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
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The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
Spectrum 2020.1: Proactively Manage the Data Value Chain for Faster, Trusted...Precisely
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Spectrum 2020.1 provides an end-to-end data foundation that engenders data trust and helps customers drive more value, faster from their data assets.
Ensure that you always have accurate and consistent data to fuel any use case.
View this on-demand webinar to learn what’s new in Spectrum 2020.1 and how it will help you manage the complete data value chain inside and outside your organization.
Unlocking Operational Intelligence from the Data LakeMongoDB
Hadoop-based data lakes are enabling enterprises and governments to efficiently capture and analyze unprecedented volumes of data. Join this webinar to learn how digital transformation is driving the rise of the data lake, the role Hadoop plays in generating new classes of analytics and insight, the critical capabilities you need to evaluate in an operational database for your data lake, and more.
Distributed RDBMS: Data Distribution Policy: Part 2 - Creating a Data Distrib...ScaleBase
Distributed RDBMSs provide many scalability, availability and performance advantages.
This presentation examines steps to create a customized data distribution policy for your RDBMS that best suits your application’s needs to provide maximum scalability.
We will discuss:
1. The different approaches to data distribution
2. How to create your own data distribution policy, whether you are scaling an exisiting application or creating a new app.
3. How ScaleBase can help you create your policy
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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Describes the results of a National Renewable Energy Laboratory sponsored innovation project for designing tariffs, rates, and customer programs to incentivize the deployment of Distributed Energy Resources. In particular we examine customer-sited, centrally controlled energy storage (aka batteries) aggregated into a VPP. We propose a VPP operating strategy and quantify a number of value stream that could be realized by executing that strategy.
Making driver-based planning and budgeting workAnaplan
For Finance departments to best navigate through the twists and turns of today’s fast moving marketplace, a haphazard, once-a-year budgeting process just doesn’t cut it. To survive and thrive in this environment, this process needs to change to be more agile, align around a consistent set of resources, and attain a trusted level of accuracy.
One reliable way to transform your budgeting process is to integrate the modeling that budget contributors typically do on spreadsheets to deliver driver-based planning and budgeting. With benefits such as being able to rapidly reforecast with minimal effort, having operational capacity always aligned, and better decision making that comes from having a deeper insight into variances, it has obvious appeal. So why is it not more widely used?
View these slides from our webinar with Forrester Research and Proformative and watch the full webinar here: https://www.anaplan.com/webinars/driver-based-budgeting/
Last week, June 11th, AWS hosted a successful Partner Day in London, targeted at our existing APN partners.
This is what we've covered during the sessions:
- AWS product and services update
- The AWS partner program benefits and opportunities
- How to develop your partnership with AWS
- AWS competency program
- How to resell AWS services
Disintermediation. It’s a term we more often use when referring to the removal of intermediaries in economics from a supply chain. It’s how modern companies reduce liability and/or reduce costs. Rather than hiring employees in-house to do the work, they hire a sub-contracting company with different guiding principles.
It may bemuse you to suggest: your API program is probably operating the same way. Different API teams + different guiding principles = different supply chains. Producing their own products. Products that must be compatible with one another. Your customer will insist upon it. Maybe not today, but they will when they begin to scale their application. Can you imagine if a Lego block supply chain was producing a disparate type of Lego block? What if you had a hundred Lego supply chains?
A cohesive set of guiding principles is critical. For your API development teams, your “supply chains.” We’ve become so consumed with getting APIs out the door, getting our developer portal up, we’ve forgotten the most important thing. The human experience of our APIs. Of the app developer. And what app developer would want to use your APIs if they knew that two years down the road, they won’t be able to easily integrate your other supply chains?.
Leah will be talking about the guiding principles that are key to the compatibility of your supply chains. And to the future loyalty to your API program.
Supply Chain Network Design: Key Questions for a Successful Distribution NetworkHannah Flynn
As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. How many distribution centers do we even need, and is that number feasible? Can we use historical data to plan for demand and design our networks, or is there a better way?
If we're going to offer the speed of shipping and variety of inventory that today's customers have come to expect, there are a lot of different questions that need to be asked. Join Irina Rosca, Director of Supply Chain Operations at Helix and an experienced global supply chain strategist, as she walks through the key questions to a successful and efficient distribution network. You'll leave knowing what data you can start collecting today to answer these questions.
Case Study: It’s All About Data – And the CustomerJill Kirkpatrick
Utilities are unlocking the power of data by coordinating forms of information across organizational departments, applications and databases to personalize their services and put customer at the center of their businesses
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
Spectrum 2020.1: Proactively Manage the Data Value Chain for Faster, Trusted...Precisely
We’re all about improving trust in your data. Spectrum 2020.1 will help you manage the complete data value chain inside and outside your organization to ensure that you have accurate and consistent data to fuel your business decisions. We know customers need software that supports interoperability, user experience, accuracy, and scalability to drive optimum insights - Spectrum 2020.1 delivers all this and more.
Spectrum 2020.1 provides an end-to-end data foundation that engenders data trust and helps customers drive more value, faster from their data assets.
Ensure that you always have accurate and consistent data to fuel any use case.
View this on-demand webinar to learn what’s new in Spectrum 2020.1 and how it will help you manage the complete data value chain inside and outside your organization.
Unlocking Operational Intelligence from the Data LakeMongoDB
Hadoop-based data lakes are enabling enterprises and governments to efficiently capture and analyze unprecedented volumes of data. Join this webinar to learn how digital transformation is driving the rise of the data lake, the role Hadoop plays in generating new classes of analytics and insight, the critical capabilities you need to evaluate in an operational database for your data lake, and more.
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Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Relevant Query Answering on Dynamic and Distributed Datasets
1. RELEVANT QUERYANSWERING ON
DYNAMIC AND DISTRIBUTED DATASETS
Shima Zahmatkesh
DEIB – Politecnico di Milano
Supervisor: Prof. Emanuele Della Valle
ISWC 2017- Vienna
22 October 2017
2. Relevancy
• Several Applications
• Domains: Social Networking, Smart City, Financial Market
• need to federate streams with distributed data to provide
relevant answer for users.
Web
Stream data
Distributed data
Answer
Join
!2
Advertisement agencies may want to
continuously detect influential Social
Network users:
✓ high number of followers
✓ mentioned in micro-posts
Across Social Networks, in order to
ask them to endorse their
commercials.
3. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams SPARQL endpoint
!3
Provide answer
in timely
fashion
4. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams SPARQL endpoint
Local
Replica
!3
Provide answer
in timely
fashion
5. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams
Data become stale
if not refreshed
SPARQL endpoint
Local
Replica
!3
Provide answer
in timely
fashion
6. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams
Define Refresh
Budget to limit
invocations
Data become stale
if not refreshed
SPARQL endpoint
Local
Replica
!3
Provide answer
in timely
fashion
7. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams
Define Refresh
Budget to limit
invocations
Data become stale
if not refreshed
Correct vs
approximate
answer
SPARQL endpoint
Local
Replica
!3
Provide answer
in timely
fashion
8. Problem Statement
RDF Stream Processing engine
Web
Answer
Join
WindowsRDF Streams SPARQL endpoint
Local
Replica
!3
Maintenance
Policy
✓ Best usage of
refresh budget
✓ Maximize
Correctness
9. Related Works
Continuous
relevant query
evaluation
Data sources
replication
Federated query
answering
State of the art:
ACQUA: Approximate Continuous QUery
Answering over streams and dynamic Linked
Data sets
My Work:
Continuously Relevant SPARQL Query Answering on
Streaming and Slowly Evolving Linked Data
!4
10. Research Question
• Given a user-information need formulated as a
relevant continuous query over an ontology,
• is it possible to optimize query evaluation in order to continuously
obtain the relevant (Filter based, Top-k) best combinations of
streaming and distributed resources that answer the information
need?
!5
11. Approach
RDF Stream
JOIN 1. Proposer 2. Ranker
3. Maintainer
SPARQL endpoint
E
C
✓ Filter Update Policy
✓ ACQUA.F Policies
✓ Rank Aggregation
Policies
✓ Top-k Policies
Candidate set
Elected set: top γ mappings
of Candidate set
Local Replica
!6
Maintenance Policies
12. Hypotheses
• For each proposed policy, I check:
• The proposed policy can make the replica fresher and give more
accurate results comparing to the state of the art policies.
• The proposed policy are not sensitive to its parameters.
• The combination of the proposed policies have better or at
least the same accuracy of the corresponding policies.
!7
13. Evaluation Plan
• Data Sets
• Streaming data
• Realistic and synthetic distributed data
• Query
• Join Query with Filter Clause
• Top-k Query
• KPIs
• Measure diversity of the set generated by the query and correct
answers:
• Cumulative Jaccard distance
• nDCG
• Control the overall latency by using refresh budget
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15. Reflection
• In this thesis, I proposed various maintenance policies for
top-k continuously query answering over stream and
distributed data.
• limitations:
• Focusing on join query with filter clause, and top-k query à
Considering other type of queries
• Defining a static refresh budget to control reactiveness à define
dynamic refresh budget
• Keeping the replica of distributed data à use cache
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16. Thank you!
Any Question?
Relevant Query Answering on
Dynamic and Distributed Datasets
Shima Zahmatkesh
shima.zahmatkesh@polimi.it
DEIB - Politecnico of Milano
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