This document summarizes Hasibur Rahman's presentation on enabling scalable publish/subscribe capabilities for logical clustering in crowdsourcing via the MediaSense platform. The presentation introduces crowdsourcing and the increasing amount of context information from IoT sources. It discusses using logical clustering and publish/subscribe to efficiently share context information in real-time. The document outlines Rahman's proposed solution to use MediaSense as a scalable distributed publish/subscribe model for sharing context IDs in logical clustering. It analyzes the performance improvements of the modified MediaSense approach compared to other methods, such as reduced processing time and increased scalability. The conclusions state that MediaSense is feasible for crowdsourcing publish/subscribe, especially
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Social media is a multi-billion dollar industry, impacting and enriching our lives, and influencing how consumers think, shop and buy.
Businesses use online communities like Facebook and Twitter for consumer insights and brand engagement, but there's a downside. The noise of other content and ads, the lack of privacy and appropriate tools make it difficult to get your unique message across to your brand’s fans and followers, or collect their demographic information quickly and easily.
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Cultivating communities for over a decade, eCGlobal provides innovative technology and creative expertise to help your company build and manage your own private, vibrant communities so customers can easily engage with your brand, and you can gain and evaluate valuable consumer insights.
The result? Increased customer loyalty and sales, better products and services, and a thriving business!
eCForce, our in-the-cloud, cost-effective, DIY software, is fast, easy to use, and combines the power of gamification, and mobile and social apps, all in one platform.
With our interactive tools you can post questions, activities, and discussions that generate a continuous flow of rich consumer insights.
eCForce puts you in control of your data and gives your customers a community where they can talk to each other, and to you, and you can really listen...and that's good business.
Get started building your community today!
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Social media is a multi-billion dollar industry, impacting and enriching our lives, and influencing how consumers think, shop and buy.
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eCForce, our in-the-cloud, cost-effective, DIY software, is fast, easy to use, and combines the power of gamification, and mobile and social apps, all in one platform.
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Get started building your community today!
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Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertWansoo Im
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uploaded by Wansoo Im, Ph.D.
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Comparative Analysis and Secure ALM P2P Overlay Multicasting of Various Multi...IJERD Editor
Multicasting is the delivery of a message or information to a group of destination computers simultaneously in a single transmission from the source. The copies of the messages are automatically created in other network elements like routers but only when the topology of the network requires it. Multicast is implemented most commonly in IP multicast which is further could be employed in internet protocol applications of streaming media. In the IP multicast the implementation of the multicast concept occurs at the IP routing level where routers create optimal distribution paths for datagram sent to a multicast destination address. At the Data Link Layer, multicast describes one-to-many distribution such as Ethernet multicast addressing, Asynchronous Transfer Mode (ATM) point-to-multipoint virtual circuits (P2MP) multicast. In this paper we have compared various multicasting mechanisms. The comparison is done on the basis of various factors like complexity, overhead, maintenance, etc. The mechanisms that are part of the paper are a secure ALM P2P multicasting technique for large scale networks using face recognition, IP multicasting techniques and the overlay multicasting techniques. The comparison of these multicasting techniques will help us to design and Implement a Secure Application-Level Multicasting (SALM) P2P Overlay Multicasting for large Scale Network. The main objective of the paper is to discuss all the three above mentioned multicasting phenomenon’s and compare them on the basis of certain criterion so as carved out the best of all which can be further used for designing a secure multicasting technique which can take the best features of all combined together so as to get effective and efficient technique for multicasting the throughput of the network by effective and efficient delivery of the information to all the members of the group. The certain findings can be carved out of the comparison can help us to create a multicasting technique with less incurring of delays so that information can be delivered in limited time span and multicast path length so that efficient paths should be used so as to enhance performance in multicasting. Moreover in this paper we will study & investigate other issues that degrades the performance of Multicasting Techniques for large Scale Network and later we will come to know through the comparison that which technique performs well in these harsh environment and give effective results.
LIVE media streaming applications have become more and more popular. IP multicast is the most efficient mechanism but Due to the practical issues of routers, IP multicast has not been widely deployed in the wide-area network infrastructure. The application-level solution build a peer-to-peer (P2P) overlay network out of unicast tunnels across cooperative participating users. P2P media streaming has become a promising approach to broadcast non interactive live media from one source to a large number of receivers. Design of a live P2P streaming system faces many challenges. Therefore, no single application-level multicast stream can meet the requirements of everyone. The proposed architecture aims to provide higher streaming quality and to provide robustness. In the Proposed System the Parallel efforts have been exerted in the media streaming field and networking field to avoid the problem of distributing LIVE video. The tree-based approaches are vulnerable for dynamic group variation but the gossip based mesh-like topology for overlay network systems allow peers to form multiple neighbors, so multilayered video contents are distributed among mesh-like network. Due to this multisource transmission scheme, packets can be exchanged among clients efficiently. In Proposed, The system can achieve improved performance on video delivery quality, bandwidth utilization, and service reliability when using the peer-assisted multipath transmission.
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This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
A Framework for Geospatial Web Services for Public Health by Dr. Leslie LenertWansoo Im
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by Leslie Lenert, MD, MS, FACMI, Director
National Center for Public Health Informatics, CCHIS, CDC
June 8 2009 URISA Public Health Conference
uploaded by Wansoo Im, Ph.D.
URISA Membership Committee Chair
http://www.gisinpublichealth.org
Comparative Analysis and Secure ALM P2P Overlay Multicasting of Various Multi...IJERD Editor
Multicasting is the delivery of a message or information to a group of destination computers simultaneously in a single transmission from the source. The copies of the messages are automatically created in other network elements like routers but only when the topology of the network requires it. Multicast is implemented most commonly in IP multicast which is further could be employed in internet protocol applications of streaming media. In the IP multicast the implementation of the multicast concept occurs at the IP routing level where routers create optimal distribution paths for datagram sent to a multicast destination address. At the Data Link Layer, multicast describes one-to-many distribution such as Ethernet multicast addressing, Asynchronous Transfer Mode (ATM) point-to-multipoint virtual circuits (P2MP) multicast. In this paper we have compared various multicasting mechanisms. The comparison is done on the basis of various factors like complexity, overhead, maintenance, etc. The mechanisms that are part of the paper are a secure ALM P2P multicasting technique for large scale networks using face recognition, IP multicasting techniques and the overlay multicasting techniques. The comparison of these multicasting techniques will help us to design and Implement a Secure Application-Level Multicasting (SALM) P2P Overlay Multicasting for large Scale Network. The main objective of the paper is to discuss all the three above mentioned multicasting phenomenon’s and compare them on the basis of certain criterion so as carved out the best of all which can be further used for designing a secure multicasting technique which can take the best features of all combined together so as to get effective and efficient technique for multicasting the throughput of the network by effective and efficient delivery of the information to all the members of the group. The certain findings can be carved out of the comparison can help us to create a multicasting technique with less incurring of delays so that information can be delivered in limited time span and multicast path length so that efficient paths should be used so as to enhance performance in multicasting. Moreover in this paper we will study & investigate other issues that degrades the performance of Multicasting Techniques for large Scale Network and later we will come to know through the comparison that which technique performs well in these harsh environment and give effective results.
LIVE media streaming applications have become more and more popular. IP multicast is the most efficient mechanism but Due to the practical issues of routers, IP multicast has not been widely deployed in the wide-area network infrastructure. The application-level solution build a peer-to-peer (P2P) overlay network out of unicast tunnels across cooperative participating users. P2P media streaming has become a promising approach to broadcast non interactive live media from one source to a large number of receivers. Design of a live P2P streaming system faces many challenges. Therefore, no single application-level multicast stream can meet the requirements of everyone. The proposed architecture aims to provide higher streaming quality and to provide robustness. In the Proposed System the Parallel efforts have been exerted in the media streaming field and networking field to avoid the problem of distributing LIVE video. The tree-based approaches are vulnerable for dynamic group variation but the gossip based mesh-like topology for overlay network systems allow peers to form multiple neighbors, so multilayered video contents are distributed among mesh-like network. Due to this multisource transmission scheme, packets can be exchanged among clients efficiently. In Proposed, The system can achieve improved performance on video delivery quality, bandwidth utilization, and service reliability when using the peer-assisted multipath transmission.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
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https://datascience.nih.gov/bd2k/events/NOV2015-AllHands
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Enabling Scalable Publish/Subscribe for Logical-Clustering in Crowdsourcing via MediaSense
1. Hasibur Rahman
Enabling Scalable Publish/Subscribe
for Logical-Clustering in
Crowdsourcing via MediaSense
Science and Information Conference 2014
August 27-29, 2014 | London UK
Department of Computer and Systems Sciences (DSV)
Stockholm University
3. Introduction
• Crowdsourcing
• Increase of Information
• Vast IoT sources
• Logical-Clustering
• Efficient Management of Context Information (CI)
• Filters out similar context from distributed sources
• MediaSense
• A scalable distributed IoT platform for CI sharing
4. Background
• Spontaneous human participation i.e. crowdsourcing is pivotal for future pervasive computing (Franco-
2011)
• The surge of social networks, mobile devices, Internet or Web-enabled services have enabled
unprecedented level of human participation in crowdsourcing which has been branded as “human-in-the-
loop-sensing” or citizen sensor networks (Boulos et al. -2011), Sheth -2009)
• Ericsson predicts that 50-500 billion mobile devices will be in use by 2020 (Ericsson - 2013)
• Ericsson envisions 5G as enabler for Networked Society (Ericsson - 2013)
• This necessitates proper management of CI so that resources can be shared from remote places
• Logical-clustering has been proposed as opposed to physical clustering to efficiently manage CI (Rahman et
al. - 2013)
6. Motivation
• Sharing heterogenous CI obtained from distributed sources
• Publish/Subscribe (PubSub) has emerged as an efficient means of
sharing ubiquitous CI
• By leveraging the PubSub in the crowdsourcing model can unravel the
challenge of sharing CI in real-time
7. What is the problem?
Can the distributed MediaSense platform (Kanter et al., 2009) be used as scalable PubSub model in real-time?
If it does then how does this approach differ from other approaches?"
We have proposed MediaSense as a potential solution to the above research questions
How can the context-IDs in logical-clustering be shared efficiently in real-time?
How can we synchronize logical-sink?
8. Our Solution
An entity registers as UCI in MediaSense
Each logical-sink registers itself as
a UCI and associated context-IDs
as its data
Logical-sinks are synchronized by
registering physical sinks as UCIs
11. Our advantages
74%
74%
74% improvement
compared to existing
MediaSense
# of published
context-IDs
Current
MediaSense
Modified
MediaSense
% improvement
1000 7.34 ms 4.17 ms 76
10000 8.93 ms 5.37 ms 66
100000 10.74 ms 6.23 ms 72
200000 11.65 ms 6.69 ms 74
12. Analysis
For both Published and Subscribed
items
3537 messages/sec if it is run only
for one second and over 9000 if
just published for logical-sink
PubSub messages/sec lowers by
one-third while magnitude is
increased by ten-fold
16. Analysis (Scalability)
# of
context-
IDs
Le Subscribe
(Counting)
MediaSense
%
improvement
500 K 85 ms 14.76 ms 476
1 million 350 ms 16.22 ms 2058
# of
context-
IDs
Le Subscribe
(Counting)
MediaSense
%
improvement
15 K 621 3151 407
1 million 7 91 1200
2058%
2058% improvement
compared to Le Subscribe in
terms of subscription
matching
1200%
1200% improvement in
PubSub messages/sec
18. Conclusions
MediaSense is feasible as PubSub model in
crowdsourcing especially in logical-clustering
It is fast- requires only 9.59 ms to match
two-millionth published context-ID
Scales well compared to other PubSub
model
Efficient and no centralization
Occupies only 185.97 MB memory to
store 5 million context-IDs
19. Future Work
UCI discovery
Performance evaluation on
devices with limited
computational capabilities
Adaptability and awareness
Security might be a concern; we
will look into this
21. ACKNOWLEDGMENT
The work is partially supported by funding
from the European Union FP7 MobiS project.
The outcome of this research will be used later
in the project.
