Fast Communication-efficient Spectral Clustering Over Distributed DataJAYAPRAKASH JPINFOTECH
Fast Communication-efficient Spectral Clustering Over Distributed Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Presented by Ahmed Abdulhakim Al-Absi - Scaling map reduce applications acro...Absi Ahmed
Scaling map reduce applications across hybrid clouds to meet soft deadlines - By Michael Mattess, Rodrigo N. Calheiros, and Rajkumar Buyya, Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications (AINA 2013, IEEE CS Press, USA), Barcelona, Spain, March 25-28, 2013.
The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5Robert Grossman
This is a talk I gave in San Diego on July 29, 2009 explaining some of the impact and some of the opportunities of cloud computing on predictive analytics.
Fast Communication-efficient Spectral Clustering Over Distributed DataJAYAPRAKASH JPINFOTECH
Fast Communication-efficient Spectral Clustering Over Distributed Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Presented by Ahmed Abdulhakim Al-Absi - Scaling map reduce applications acro...Absi Ahmed
Scaling map reduce applications across hybrid clouds to meet soft deadlines - By Michael Mattess, Rodrigo N. Calheiros, and Rajkumar Buyya, Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications (AINA 2013, IEEE CS Press, USA), Barcelona, Spain, March 25-28, 2013.
The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5Robert Grossman
This is a talk I gave in San Diego on July 29, 2009 explaining some of the impact and some of the opportunities of cloud computing on predictive analytics.
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
Secure optimization computation outsourcing in cloud computing a case study o...ieeepondy
Secure optimization computation outsourcing in cloud computing a case study of linear programming
'+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Reading Group Presentation: Why Eve and Mallory Love AndroidMichael Rushanan
This presentation contains multiple pointers to academic research pertaining to Android and its security model. I presented these works to a weekly Security and Privacy reading group.
The academic proceeding can be found here:
www2.dcsec.uni-hannover.de/files/android/p50-fahl.pdf
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We'll also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
Geek Sync I SQL Server 2016 Performance Tricks You Need to KnowIDERA Software
SQL Server 2016 has been out for six months, but not many people know the hidden secret tips to improve performance with this new version. In this fast paced, demo oriented, webcast we will talk about some of the high impact but unknown performance tuning features of SQL Server.
Join IDERA and Pinal Dave as he discusses the relationship between cardinality and the compatibility level. He will also cover how query store helps provide predictable performance for queries. Before we end the session we will see a few more tricks which can improve performance of queries time and time again. At the end of the demonstrations, you will have access to all the scripts which we used in the webinar.
Ghid de optimizare site web On page. SEO pentru orice site web pentru atragerea traficului de calitate si o pozitionare mai buna in rezultatele Google!
http://star-marketing.ro/seo-timisoara
Exclusive Marketing insights from the 2008 Barack Obama Presidential CampaignCrossboard Mobile
Learn exclusive insights about how the 2008 Barack Obama Presidential Campaign used transparent Cost-per-Lead advertising to build an engaged community.
New research shows the 'Freelance Gig Economy' is flourishing. And here to stay. With downsizing, the numbers of startups popping up companies are desperate to hire - hundreds of thousands of jobs available new research shows.
Measuring Front-End Performance - What, When and How?Gareth Hughes
During this session we will look at the art of monitoring the front-end performance of your web site or application from inception to production.
We’ll start be looking at what measurable metrics are available, and how they can be used to represent performance and user experience. Moving on to looking at how we can measure and control performance throughout the development lifecycle, including a look at some of the tools available for measurement and reporting.
Delivered to Paris Performance User Group - 2/11/2015
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
Secure optimization computation outsourcing in cloud computing a case study o...ieeepondy
Secure optimization computation outsourcing in cloud computing a case study of linear programming
'+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Reading Group Presentation: Why Eve and Mallory Love AndroidMichael Rushanan
This presentation contains multiple pointers to academic research pertaining to Android and its security model. I presented these works to a weekly Security and Privacy reading group.
The academic proceeding can be found here:
www2.dcsec.uni-hannover.de/files/android/p50-fahl.pdf
Database Migration: Simple, Cross-Engine and Cross-Platform Migrations with ...Amazon Web Services
Learn how you can migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases using AWS Database Migration Service. We'll discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We'll also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents. Best of all, we'll spend most of the time demonstrating the product and showing use cases designed to help your business.
Geek Sync I SQL Server 2016 Performance Tricks You Need to KnowIDERA Software
SQL Server 2016 has been out for six months, but not many people know the hidden secret tips to improve performance with this new version. In this fast paced, demo oriented, webcast we will talk about some of the high impact but unknown performance tuning features of SQL Server.
Join IDERA and Pinal Dave as he discusses the relationship between cardinality and the compatibility level. He will also cover how query store helps provide predictable performance for queries. Before we end the session we will see a few more tricks which can improve performance of queries time and time again. At the end of the demonstrations, you will have access to all the scripts which we used in the webinar.
Ghid de optimizare site web On page. SEO pentru orice site web pentru atragerea traficului de calitate si o pozitionare mai buna in rezultatele Google!
http://star-marketing.ro/seo-timisoara
Exclusive Marketing insights from the 2008 Barack Obama Presidential CampaignCrossboard Mobile
Learn exclusive insights about how the 2008 Barack Obama Presidential Campaign used transparent Cost-per-Lead advertising to build an engaged community.
New research shows the 'Freelance Gig Economy' is flourishing. And here to stay. With downsizing, the numbers of startups popping up companies are desperate to hire - hundreds of thousands of jobs available new research shows.
Measuring Front-End Performance - What, When and How?Gareth Hughes
During this session we will look at the art of monitoring the front-end performance of your web site or application from inception to production.
We’ll start be looking at what measurable metrics are available, and how they can be used to represent performance and user experience. Moving on to looking at how we can measure and control performance throughout the development lifecycle, including a look at some of the tools available for measurement and reporting.
Delivered to Paris Performance User Group - 2/11/2015
Presentation delivered at 2007 National Association of Government Webmasters Conference in Valley Forge, PA. Presenters: Kristy Fifelski (City of Reno) and Tom Johnson (Vision Internet).
The efficiency of all industrial and military equipment's deteriorates with time. Sometimes the equipment fails completely and effects the whole system. The maintenance costs (running costs) of an equipment also go on increasing with time. Thus it becomes more economical to replace the old equipment with a new one. Hence there is a need to formulae a most economical replacement policy which is in the best interest of the system.
An optimization framework for mobile data collection in energy harvesting wir...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
JAVA 2013 IEEE NETWORKING PROJECT Harvesting aware energy management for time...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Harvesting aware energy management for time-critical wireless sensor networksIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Data Partitioning in Mongo DB with CloudIJAAS Team
Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The result of partitioning technique is conducted and evaluated using TPC-C benchmark.
Service description in the nfv revolution trends, challenges and a way forwardieeepondy
Service description in the nfv revolution trends, challenges and a way forward
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Spatial related traffic sign inspection for inventory purposes using mobile l...ieeepondy
Spatial related traffic sign inspection for inventory purposes using mobile laser scanning data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...ieeepondy
Rebuttal to “comments on ‘control cloud data access privilege and anonymity with fully anonymous attribute based encryption”’
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Scalable cloud–sensor architecture for the internet of thingsieeepondy
Scalable cloud–sensor architecture for the internet of things
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Robust workload and energy management for sustainable data centersieeepondy
Robust workload and energy management for sustainable data centers
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Privacy preserving deep computation model on cloud for big data feature learningieeepondy
Privacy preserving deep computation model on cloud for big data feature learning
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Power optimization with bler constraint for wireless fronthauls in c ranieeepondy
Power optimization with bler constraint for wireless fronthauls in c ran+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Predictive control for energy aware consolidation in cloud datacentersieeepondy
Predictive control for energy aware consolidation in cloud datacenters
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Over flow multi site aware big data management for scientific workflows on cl...ieeepondy
Over flow multi site aware big data management for scientific workflows on clouds
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Distributed in memory processing of all k nearest neighbor queries
1. Distributed In-Memory Processing of All k Nearest Neighbor Queries
Abstract:
A wide spectrum of Internet-scale mobile applications, ranging from social
networking, gaming and entertainment to emergency response and crisis
management, all require efficient and scalable All k Nearest Neighbor (AkNN)
computations over millions of moving objects every few seconds to be
operational. Most traditional techniques for computing AkNN queries are
centralized, lacking both scalability and efficiency. Only recently, distributed
techniques for shared-nothing cloud infrastructures have been proposed to
achieve scalability for large datasets. These batch-oriented algorithms are sub-
optimal due to inefficient data space partitioning and data replication among
processing units. In this paper, we present Spitfire, a distributed algorithm that
provides a scalable and high-performance AkNN processing framework. Our
proposed algorithm deploys a fast load-balanced partitioning scheme along with
an efficient replication-set selection algorithm, to provide fast main-memory
computations of the exact AkNN results in a batch-oriented manner. We evaluate,
both analytically and experimentally, how the pruning efficiency of the Spitfire
algorithm plays a pivotal role in reducing communication and response time up to
an order of magnitude, compared to three other state-of-the-art distributed
AkNN algorithms executed in distributed main-memory.
