Presentation that I did for Digital Asset Management class at R.I.T. Learn something new & interesting on Metadata & its importance in the Publishing Industry!
VMworld vBrownBag vmtn5534e - placement of iot workload operations within a c...Kenneth Moore
The Internet of Things (IoT) represents a disruptive technology that has the potential of changing the way we live in this world forever. Gartner predicts that by the end of 2020, there will be approx. 20 billion Internet-connected things, from smartwatches to smart offices generating traffic to communicate. Central to facilitating communication between these things are the Data-Center’s required to store and process the data that IoT devices will generate. The DC infrastructure facilitates applications such as analytics and customer-oriented applications allowing companies to extract value from data that is produced by IoT devices. While DCs provide an essential part of the jigsaw in supporting IoT, Gartner reported that current DC architectures are not prepared to deal with the scale, volume and heterogeneous nature of data that IoT will bring and will face as a result significant challenges in dealing with workload demands in terms of the storage, compute and network requirements to support IoT. Given this challenge, DCs in the future need to be designed and developed bearing IoT in mind. However, the design of a DC is a non-trivial task, and a thorough understanding of the workload demand of IoT applications is required to build a workload model that describes how the DC performs at its busiest time under load. Such models are essential to: design and optimise the management of resources in the DC; and facilitate performance analysis and simulation allowing DC providers to evaluate the impact that configuration changes have on QoS requirements.
International Journal of Grid Computing & Applications (IJGCA)ijgca
Service-oriented computing is a popular design methodology for large scale business computing systems. Grid computing enables the sharing of distributed computing and data resources such as processing, networking and storage capacity to create a cohesive resource environment for executing distributed applications in service-oriented computing. Grid computing represents more business-oriented orchestration of pretty homogeneous and powerful distributed computing resources to optimize the execution of time consuming process as well. Grid computing have received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational in e-Science and businesses. The objective of the journal is to serve as both the premier venue for presenting foremost research results in the area and as a forum for introducing and exploring new concepts.
VMworld vBrownBag vmtn5534e - placement of iot workload operations within a c...Kenneth Moore
The Internet of Things (IoT) represents a disruptive technology that has the potential of changing the way we live in this world forever. Gartner predicts that by the end of 2020, there will be approx. 20 billion Internet-connected things, from smartwatches to smart offices generating traffic to communicate. Central to facilitating communication between these things are the Data-Center’s required to store and process the data that IoT devices will generate. The DC infrastructure facilitates applications such as analytics and customer-oriented applications allowing companies to extract value from data that is produced by IoT devices. While DCs provide an essential part of the jigsaw in supporting IoT, Gartner reported that current DC architectures are not prepared to deal with the scale, volume and heterogeneous nature of data that IoT will bring and will face as a result significant challenges in dealing with workload demands in terms of the storage, compute and network requirements to support IoT. Given this challenge, DCs in the future need to be designed and developed bearing IoT in mind. However, the design of a DC is a non-trivial task, and a thorough understanding of the workload demand of IoT applications is required to build a workload model that describes how the DC performs at its busiest time under load. Such models are essential to: design and optimise the management of resources in the DC; and facilitate performance analysis and simulation allowing DC providers to evaluate the impact that configuration changes have on QoS requirements.
International Journal of Grid Computing & Applications (IJGCA)ijgca
Service-oriented computing is a popular design methodology for large scale business computing systems. Grid computing enables the sharing of distributed computing and data resources such as processing, networking and storage capacity to create a cohesive resource environment for executing distributed applications in service-oriented computing. Grid computing represents more business-oriented orchestration of pretty homogeneous and powerful distributed computing resources to optimize the execution of time consuming process as well. Grid computing have received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational in e-Science and businesses. The objective of the journal is to serve as both the premier venue for presenting foremost research results in the area and as a forum for introducing and exploring new concepts.
Presented By Ashok.J 3 rd BCA - AVVM Sri Pushpam College, Poondi , Tanjor
Slide 2: GRID COMPUTING Conceptual View Of Grid Computing ?
What Is Grid Computing?: What Is Grid Computing? Grid computing is the collection of computer resources from multiple locations to reach a common goal. GRID COMPUTING
Slide 4: How Grid Computing Works? GRID COMPUTING
Slide 5: Types Of Grid Data Grid Collaboration Grid Network Grid Utility Grid GRID COMPUTING Computational Grid
Slide 6: Grid topologies
Slide 7: Intra grids A Typical intra grid topology exist within S ingle Organization, providing a basic set of grid Services
Slide 8: Extra grids An Extra grid, Typically involves more than one security provider , and the level Management complexity increases
Slide 9: Inter Grids An inter grid requires the dynamic integration of applications, resources and service with patterns, Customers access via WAN/ Internet
Slide 10: A Simple Grid GRID COMPUTING
Slide 11: Complex Inter grid GRID COMPUTING
Slide 12: Grid Scheduled An application is one or more jobs that are scheduled to run a Grid GRID COMPUTING
Slide 13: Advantages : Can solve larger, more complex problems in a shorter time Easier to collaborate with other organizations Make better use of existing hardware GRID COMPUTING
Slide 14: Disa dvantages : Grid software and standards are still evolving Learning curve to get started Non-interactive job submission GRID COMPUTING
Slide 15: BENEFITS OF GRID COMPUTING GRID COMPUTING Exploiting underutilized resources Parallel CPU capacity Virtual organizations for collaboration and virtual resources Access to additional resources Resource balancing Reliability Management
Presented By Ashok.J ashokmannai0005@gmail.com
Energy efficient fault-tolerant data storage & processing in mobile cloudLogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Energy efficient fault-tolerant data storage and processing in mobile cloudLeMeniz Infotech
Energy efficient fault-tolerant data storage and processing in mobile cloud
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
Web : http://www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Transceiver – How They Help Support Big Data in Data Centers?Fern Xu
Transceivers, one of the most instrumental designs in telecommunication field, are related to the promotion of big data in data centers, helping business owners get their data in real-time.
Efficient multicast delivery for data redundancy minimization over wireless d...redpel dot com
Efficient multicast delivery for data redundancy minimization over wireless data centers
for more ieee paper / full abstract / implementation , just visit www.redpel.com
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
IT Solutions for 3 Common Small Business ProblemsBrooke Bordelon
Many time consuming IT problems can be side-stepped by establishing a solid network from the get-go rather than playing catch up with problems as they arise..find out how with these IT solutions.
The high volume data processing demands of IoT exceed the capabilities of the majority of today's data centers. This presentation examines the issues that must be addressed to ensure a successful IoT implementation.
Overview of Intel Data Center Manager
Why do we care about Data Center Management
Storage and Networking Support
What can you do with DCM
Go to Market Options
Case Studies
Grid Computing - Collection of computer resources from multiple locationsDibyadip Das
Grid computing is the collection of computer resources from multiple locations to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files.
Presented By Ashok.J 3 rd BCA - AVVM Sri Pushpam College, Poondi , Tanjor
Slide 2: GRID COMPUTING Conceptual View Of Grid Computing ?
What Is Grid Computing?: What Is Grid Computing? Grid computing is the collection of computer resources from multiple locations to reach a common goal. GRID COMPUTING
Slide 4: How Grid Computing Works? GRID COMPUTING
Slide 5: Types Of Grid Data Grid Collaboration Grid Network Grid Utility Grid GRID COMPUTING Computational Grid
Slide 6: Grid topologies
Slide 7: Intra grids A Typical intra grid topology exist within S ingle Organization, providing a basic set of grid Services
Slide 8: Extra grids An Extra grid, Typically involves more than one security provider , and the level Management complexity increases
Slide 9: Inter Grids An inter grid requires the dynamic integration of applications, resources and service with patterns, Customers access via WAN/ Internet
Slide 10: A Simple Grid GRID COMPUTING
Slide 11: Complex Inter grid GRID COMPUTING
Slide 12: Grid Scheduled An application is one or more jobs that are scheduled to run a Grid GRID COMPUTING
Slide 13: Advantages : Can solve larger, more complex problems in a shorter time Easier to collaborate with other organizations Make better use of existing hardware GRID COMPUTING
Slide 14: Disa dvantages : Grid software and standards are still evolving Learning curve to get started Non-interactive job submission GRID COMPUTING
Slide 15: BENEFITS OF GRID COMPUTING GRID COMPUTING Exploiting underutilized resources Parallel CPU capacity Virtual organizations for collaboration and virtual resources Access to additional resources Resource balancing Reliability Management
Presented By Ashok.J ashokmannai0005@gmail.com
Energy efficient fault-tolerant data storage & processing in mobile cloudLogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Energy efficient fault-tolerant data storage and processing in mobile cloudLeMeniz Infotech
Energy efficient fault-tolerant data storage and processing in mobile cloud
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
Web : http://www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Transceiver – How They Help Support Big Data in Data Centers?Fern Xu
Transceivers, one of the most instrumental designs in telecommunication field, are related to the promotion of big data in data centers, helping business owners get their data in real-time.
Efficient multicast delivery for data redundancy minimization over wireless d...redpel dot com
Efficient multicast delivery for data redundancy minimization over wireless data centers
for more ieee paper / full abstract / implementation , just visit www.redpel.com
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
IT Solutions for 3 Common Small Business ProblemsBrooke Bordelon
Many time consuming IT problems can be side-stepped by establishing a solid network from the get-go rather than playing catch up with problems as they arise..find out how with these IT solutions.
The high volume data processing demands of IoT exceed the capabilities of the majority of today's data centers. This presentation examines the issues that must be addressed to ensure a successful IoT implementation.
Overview of Intel Data Center Manager
Why do we care about Data Center Management
Storage and Networking Support
What can you do with DCM
Go to Market Options
Case Studies
Grid Computing - Collection of computer resources from multiple locationsDibyadip Das
Grid computing is the collection of computer resources from multiple locations to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files.
The Chinese version of the presentation, delivered on Monday 7th December 2009 to attendees to Wai Yin Chinese Women Society's Education Training and Employment Unit Award Ceremony, held at Glamorous Restaurant in Manchester.
“What Every Digital TV Executive Needs to Know About Adaptive Rate Streaming...Verimatrix
Adaptive rate streaming is being recognized as a disruptive technology for digital TV operators, and once they understand the basic principles of adaptive rate streaming, the next step is to make strategic decisions on how to best integrate the video delivery protocol with their existing network infrastructure. As a key player in the ecosystem that supports the growing momentum of the HTTP Live Streaming (HLS) standard, the Verimatrix presentation will help illuminate the decision-making process, covering selection criteria and technical tradeoffs that are useful when deploying this technology. It will also cover the game-changing business issues from the perspective of different types of operators and vendors, as well as what might lie ahead for adaptive rate streaming technology.
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Для получения детальной информации вы можете связаться с нами по телефону
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The United States National Institute of Standards and Technology (NIST) has p...Michael Hudak
The NIST Definition of Cloud Computing
http://www.championcloudservices.com/Blog/bid/71922/8-18-2011-FINALLY-an-Agreement-on-Defining-what-the-CLOUD-is
Logical Data Fabric: Architectural ComponentsDenodo
Watch full webinar here: https://bit.ly/39MWm7L
Is the Logical Data Fabric one monolithic technology or does it comprise of various components? If so, what are they? In this presentation, Denodo CTO Alberto Pan will elucidate what components make up the logical data fabric.
As more companies grow their business in global markets, they discover the need to capture new opportunities in a matter of days rather than months to have competitive advantage and to capture new market share. Their machines are producing terabytes of various data types — video, audio, Microsoft® SharePoint®, sensor data, Microsoft Excel® files — and leaders are searching for the right technologies to capture this data and help provide a better understanding of their business. The HDS big data product roadmap will help customers build a big data enterprise plan that ingests data faster and correlate meaningful data sets to create intelligence that’s easy to consume and helps leaders make the right business decisions. View this webcast to learn about Hitachi’s product roadmap to big data. For more information on HDS Big Data Solutions please visit: http://www.hds.com/solutions/it-strategies/big-data/?WT.ac=us_mg_sol_bigdat
Field Data Gathering Services — A Cloud-Based ApproachSchneider Electric
Utilities today wish to facilitate the capture of asset information in the field in a way that is not only scalable but cost effective. They need a system that is simple to use, inexpensive to implement, flexible enough to meet ever-changing needs, yet also powerful enough to cover a majority of their needs with immediacy. This paper describes Schneider Electric's powerful cloud-based solution to optimize the inspection and gathering of field information.
AI Infrastructure: The Backbone of Modern Innovation | CyberPro Magazinecyberprosocial
In today's tech-savvy world, you might have heard people talking about "AI infrastructure". It's a fancy term that basically means having a strong foundation for using artificial intelligence (AI) in businesses.
On July, 20th, 2010 IBM announced the IBM TS7610 ProtecTIER® Deduplication Appliance Express, a complete deduplicated storage subsystem for Small Medium Enterprises (SMEs) and remote offices. The new subsystem is the newest and smallest member of the ProtecTIER series–a leading enterprise-suitable deduplication technology, which IBM acquired from Diligent Technologies in 2008 and continues to develop and enhance at a remarkable pace. The TS7610 uses the same ProtecTIER software found in their larger TS7650 solutions, has the same ProtecTIER functionality, is pre-configured (ready to use) and offers very competitive CapEx and OpEx pricing. Learn More: http://ibm.co/ONeH7m
This Document Includes lecture/workshop notes for BIG DATA SCIENCE workshop at NTI 6-7th of Dec 2017
Hint: 1:This is an Initial Version, and it will be updated.
2: Telecommunication/5G parts were not covered through the workshop, although, I will add a comprehensive analysis regarding mentioned cases.
If anyone is interesting in working practically (HANDS ON) mentioned case study, just drop me an e-mail: m.rahm7n@gmail.com
A technical Introduction to Big Data AnalyticsPethuru Raj PhD
This presentation gives the details about the sources for big data, the value of big data, what to do with big data, the platforms, the infrastructures and the architectures for big data analytics
Actionable Intelligence From Unstructured Data using MDAProbal DasGupta
Data is everywhere, but far too often, not the information we need. Businesses continue to generate a huge volume of memos, reports, minutes of meetings, planning documents, proposals, emails, website content, blogs, wikis and other content. But this wealth of data is not providing companies with the information base it needs to make the right decisions when it needs to. Because all this unstructured data is not actionable intelligence. As a result, although we are awash with data everywhere, we make uninformed decisions based on a very small slice of that information that is readily available to us. This white paper explores a solution strategy.