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
Pack prediction based cloud bandwidth and cost reduction systemPapitha Velumani
The document presents PACK (Prediction-based ACKs), a novel end-to-end traffic redundancy elimination system designed for cloud computing. It aims to reduce bandwidth costs by offloading the processing to end clients, minimizing server costs. Unlike previous sender-based solutions, PACK is receiver-based and does not require the server to continuously maintain client status. The receiver sends predictions to the server, which responds with ACKs if redundancy is detected instead of sending the data. This makes PACK suitable for mobile and elastic cloud environments. Experiments show the approach can reach speeds over 3Gb/s, faster than traditional methods.
PACK is a traffic redundancy elimination system designed for cloud computing customers. It aims to reduce bandwidth costs by offloading processing to end clients, minimizing server costs. Unlike previous solutions, PACK does not require continuous server-client status synchronization. It uses received chunks to identify previously received chunk chains, which can then predict future chunks. Experiments show PACK achieves a 30% redundancy reduction with 20% reduced overall customer costs.
JPJ1410 PACK: Prediction-Based Cloud Bandwidth and Cost Reduction Systemchennaijp
This paper presents PACK, a receiver-based end-to-end traffic redundancy elimination system for cloud computing. PACK aims to reduce bandwidth costs for cloud customers by having the client predict and eliminate redundant data sent by the cloud server. It does this by having the client maintain chunks of previously received data and use these to identify redundant chunks in newly received data, allowing it to send "predictions" to the server about future chunks. This avoids the need for the server to do processing for traffic redundancy elimination.
PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System
To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.
Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9.
Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org
Blog: www.jpinfotech.blogspot.com
The document presents PACK, a novel end-to-end traffic redundancy elimination system designed for cloud computing customers. PACK aims to minimize processing costs for the cloud server by offloading traffic elimination efforts to end clients. It uses a receiver-based approach where the client analyzes incoming data streams, identifies redundant content, and sends predictions to the server. If a prediction matches, the server only needs to send an acknowledgment instead of the actual data, reducing bandwidth costs. The authors implemented and tested PACK, finding it can achieve up to 30% redundancy elimination with low server overhead, representing a cost savings of around 20% for cloud users.
This document discusses a novel receiver-based traffic redundancy elimination (TRE) technique called Prediction-based Cloud Bandwidth and Cost Reduction (PACK) for cloud computing environments. PACK aims to reduce bandwidth costs and server load by having receivers detect redundant data and send predictions to senders about future chunks. This avoids sending redundant data and allows receivers to locally store chunks instead of downloading them. The document evaluates PACK using video traces and estimates its potential for cost savings compared to traditional sender-based TRE and no TRE.
This document presents the design and implementation of a prediction based cloud bandwidth and cost reduction system called PACK. PACK is a receiver based traffic redundancy elimination system that uses recently received data chunks to identify previously received chunks, reducing computational costs. Simulation results showed that PACK reduces overall cloud operational costs and minimizes application latency between senders and receivers. The document describes the design of the PACK protocol and its advantages over existing systems in addressing issues like client mobility, server migration, and cloud elasticity.
Pack prediction based cloud bandwidth and cost reduction systemPapitha Velumani
The document presents PACK (Prediction-based ACKs), a novel end-to-end traffic redundancy elimination system designed for cloud computing. It aims to reduce bandwidth costs by offloading the processing to end clients, minimizing server costs. Unlike previous sender-based solutions, PACK is receiver-based and does not require the server to continuously maintain client status. The receiver sends predictions to the server, which responds with ACKs if redundancy is detected instead of sending the data. This makes PACK suitable for mobile and elastic cloud environments. Experiments show the approach can reach speeds over 3Gb/s, faster than traditional methods.
PACK is a traffic redundancy elimination system designed for cloud computing customers. It aims to reduce bandwidth costs by offloading processing to end clients, minimizing server costs. Unlike previous solutions, PACK does not require continuous server-client status synchronization. It uses received chunks to identify previously received chunk chains, which can then predict future chunks. Experiments show PACK achieves a 30% redundancy reduction with 20% reduced overall customer costs.
JPJ1410 PACK: Prediction-Based Cloud Bandwidth and Cost Reduction Systemchennaijp
This paper presents PACK, a receiver-based end-to-end traffic redundancy elimination system for cloud computing. PACK aims to reduce bandwidth costs for cloud customers by having the client predict and eliminate redundant data sent by the cloud server. It does this by having the client maintain chunks of previously received data and use these to identify redundant chunks in newly received data, allowing it to send "predictions" to the server about future chunks. This avoids the need for the server to do processing for traffic redundancy elimination.
PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System
To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.
Landmark: Next to Kotak Mahendra Bank.
Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9.
Landmark: Next to VVP Nagar Arch.
Mobile: (0) 9952649690 , Email: jpinfotechprojects@gmail.com, web: www.jpinfotech.org
Blog: www.jpinfotech.blogspot.com
The document presents PACK, a novel end-to-end traffic redundancy elimination system designed for cloud computing customers. PACK aims to minimize processing costs for the cloud server by offloading traffic elimination efforts to end clients. It uses a receiver-based approach where the client analyzes incoming data streams, identifies redundant content, and sends predictions to the server. If a prediction matches, the server only needs to send an acknowledgment instead of the actual data, reducing bandwidth costs. The authors implemented and tested PACK, finding it can achieve up to 30% redundancy elimination with low server overhead, representing a cost savings of around 20% for cloud users.
This document discusses a novel receiver-based traffic redundancy elimination (TRE) technique called Prediction-based Cloud Bandwidth and Cost Reduction (PACK) for cloud computing environments. PACK aims to reduce bandwidth costs and server load by having receivers detect redundant data and send predictions to senders about future chunks. This avoids sending redundant data and allows receivers to locally store chunks instead of downloading them. The document evaluates PACK using video traces and estimates its potential for cost savings compared to traditional sender-based TRE and no TRE.
This document presents the design and implementation of a prediction based cloud bandwidth and cost reduction system called PACK. PACK is a receiver based traffic redundancy elimination system that uses recently received data chunks to identify previously received chunks, reducing computational costs. Simulation results showed that PACK reduces overall cloud operational costs and minimizes application latency between senders and receivers. The document describes the design of the PACK protocol and its advantages over existing systems in addressing issues like client mobility, server migration, and cloud elasticity.
ORCHESTRATING BULK DATA TRANSFERS ACROSS GEO-DISTRIBUTED DATACENTERSNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
The document discusses the Sky X system, which replaces TCP with an optimized protocol called XTP for satellite network transmissions. It summarizes that Sky X uses gateways on both ends of the satellite link to split connections into TCP on the ends and XTP over the satellite. This architecture maintains reliability while improving throughput by 3-100x over standard TCP for satellite networks.
Sky X is a new technology that overcomes bandwidth restrictions in satellite networks. It works by replacing TCP with the Xpress Transport Protocol (XTP) for satellite connections. This allows users to take full advantage of available bandwidth. The Sky X Gateway intercepts TCP connections and converts data to XTP for transmission over satellites, then translates it back to TCP for delivery. This significantly increases web and file transfer speeds without any changes needed to end clients or servers. Future enhancements may further optimize Sky X for emerging concepts requiring high data transmission capabilities over long distances.
Prediction System for Reducing the Cloud Bandwidth and Costijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
An Investigation into Convergence of Networking and Storage Solutions Blesson Babu
This document discusses convergence of networking and storage solutions through technologies like software-defined networking (SDN) and network function virtualization (NFV). It investigates SDN and networked storage, how they can improve efficiency by reducing wasted capacity and simplifying management. The document also examines using SDN in a cloud computing environment to increase operational efficiency of data centers.
The document discusses how satellites can provide internet access over long distances but standard internet protocols like TCP are not optimized for satellite conditions. It introduces the Sky X system which replaces TCP over satellite links with a new protocol called Xpress Transport Protocol (XTP) that is optimized for satellite networks. The Sky X Gateway intercepts TCP connections and converts the data to XTP for transmission over the satellite. On the other side, it translates the data back to TCP. This allows for much better performance over satellites while being transparent to end users and compatible with existing internet infrastructure.
The document discusses Sky X technology, which uses a gateway and client/server system to replace TCP with the Sky X protocol for transmissions over satellite links. This optimizes performance for satellite conditions like long latency and asymmetric bandwidth. The Sky X gateway intercepts TCP connections and converts data to the Xpress Transport Protocol (XTP) for transmission via satellite. On the other side, it translates data back to TCP. This improves performance while remaining transparent to end users. The Sky X system can increase web and file transfer speeds by 3x and 10-100x respectively over satellites.
This is the 2nd defense of my Ph.D. double degree.
More details - https://kkpradeeban.blogspot.com/2019/08/my-phd-defense-software-defined-systems.html
The Sky X technology uses Sky X gateways and the XTP protocol to improve bandwidth utilization over satellite networks. The Sky X gateway intercepts TCP connections and converts data to XTP for transmission over the satellite link. It then converts data back to TCP for delivery. This architecture enhances performance without any changes to end clients or servers. Using XTP and optimizations, Sky X can increase web and file transfer speeds by 3-100 times over standard satellite internet connections. It provides a fully transparent and reliable way to access more of the available satellite bandwidth.
The document discusses the Sky X gateway technology which improves data transmission performance over satellite networks. The Sky X gateway replaces TCP with XTP for satellite segments, improving throughput by 3 times. It consists of gateways, clients, and servers that split TCP into segments, using XTP over satellites to enhance performance without requiring client/server modifications. The Sky X protocol utilizes efficient acknowledgment and rate control algorithms to maximize throughput.
The presentation slides of my Ph.D. thesis proposal ("CAT" as known in my university). I received a score of 18/20.
Supervisors:
Prof. Luís Veiga (IST, ULisboa)
Prof. Peter Van Roy (UCLouvain)
Jury:
Prof. Javid Taheri (Karlstad University)
Prof. Fernando Mira da Silva (IST, ULisboa)
S3 Infotech provides summaries of 10 VLSI projects related to low-power logic circuits, level shifters, adder architectures, optical counters, modular multiplication, transaction IDs, modulo adders, DACs, median filters, and quantum-dot SRAM. The projects explore techniques like spin-based devices, dynamic voltage scaling, pipelining, and cellular automata to improve efficiency, throughput, power consumption, and process variability tolerance in VLSI design.
This is my presentation at IFIP Networking 2018 in Zurich.
In this paper, we propose a cloud-assisted network as an alternative connectivity provider.
More details: https://kkpradeeban.blogspot.com/2018/05/moving-bits-with-fleet-of-shared.html
Services that access or process a large volume of data are known as data services. Big data frameworks consist of diverse storage media and heterogeneous data formats. Through their service-based approach, data services offer a standardized execution model to big data frameworks. Software-Defined Networking (SDN) increases the programmability of the network, by unifying the control plane centrally, away from the distributed data plane devices. In this paper, we present Software-Defined Data Services (SDDS), extending the data services with the SDN paradigm. SDDS consists of two aspects. First, it models the big data executions as data services or big services composed of several data services. Then, it orchestrates the services centrally in an interoperable manner, by logically separating the executions from the storage. We present the design of an SDDS orchestration framework for network-aware big data executions in data centers. We then evaluate the performance of SDDS through microbenchmarks on a prototype implementation. By extending SDN beyond data centers, we can deploy SDDS in broader execution environments.
https://kkpradeeban.blogspot.com/2018/04/software-defined-data-services.html
This document is a seminar report submitted by Shubham Madhukar Rokade to North Maharashtra University in partial fulfillment of a bachelor's degree in computer engineering. The report discusses Sky X technology, which overcomes limitations in TCP performance over satellite links by replacing TCP with a custom protocol optimized for satellite conditions. Key aspects of Sky X addressed include its gateway operation, protocol design features like efficient acknowledgment and dynamic window sizing, and its performance benefits.
Efficient rekeying framework for secure multicast with diverse subscription-p...IEEEFINALYEARPROJECTS
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
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
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
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
This paper describes a new approach to machine learning that uses crowdsourcing to develop predictive models of behavioral outcomes. Users on a website generate questions to collect data on predictors of an outcome like energy usage or BMI. They also answer questions to provide values for potential predictors. Models are built using this user-generated data to predict individual outcomes. Two experiments successfully built models predicting monthly energy usage and BMI based on questions crowdsourced by users. This demonstrates that non-experts can collectively identify predictive features and provide data to build models of behavioral outcomes through an interactive online process.
2013 2014 ieee finalyear me mtech java projects richbraintechnologiesIEEEFINALYEARPROJECTS
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
Enforcing secure and privacy preserving information brokering in distributed ...IEEEFINALYEARPROJECTS
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
ORCHESTRATING BULK DATA TRANSFERS ACROSS GEO-DISTRIBUTED DATACENTERSNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
The document discusses the Sky X system, which replaces TCP with an optimized protocol called XTP for satellite network transmissions. It summarizes that Sky X uses gateways on both ends of the satellite link to split connections into TCP on the ends and XTP over the satellite. This architecture maintains reliability while improving throughput by 3-100x over standard TCP for satellite networks.
Sky X is a new technology that overcomes bandwidth restrictions in satellite networks. It works by replacing TCP with the Xpress Transport Protocol (XTP) for satellite connections. This allows users to take full advantage of available bandwidth. The Sky X Gateway intercepts TCP connections and converts data to XTP for transmission over satellites, then translates it back to TCP for delivery. This significantly increases web and file transfer speeds without any changes needed to end clients or servers. Future enhancements may further optimize Sky X for emerging concepts requiring high data transmission capabilities over long distances.
Prediction System for Reducing the Cloud Bandwidth and Costijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
An Investigation into Convergence of Networking and Storage Solutions Blesson Babu
This document discusses convergence of networking and storage solutions through technologies like software-defined networking (SDN) and network function virtualization (NFV). It investigates SDN and networked storage, how they can improve efficiency by reducing wasted capacity and simplifying management. The document also examines using SDN in a cloud computing environment to increase operational efficiency of data centers.
The document discusses how satellites can provide internet access over long distances but standard internet protocols like TCP are not optimized for satellite conditions. It introduces the Sky X system which replaces TCP over satellite links with a new protocol called Xpress Transport Protocol (XTP) that is optimized for satellite networks. The Sky X Gateway intercepts TCP connections and converts the data to XTP for transmission over the satellite. On the other side, it translates the data back to TCP. This allows for much better performance over satellites while being transparent to end users and compatible with existing internet infrastructure.
The document discusses Sky X technology, which uses a gateway and client/server system to replace TCP with the Sky X protocol for transmissions over satellite links. This optimizes performance for satellite conditions like long latency and asymmetric bandwidth. The Sky X gateway intercepts TCP connections and converts data to the Xpress Transport Protocol (XTP) for transmission via satellite. On the other side, it translates data back to TCP. This improves performance while remaining transparent to end users. The Sky X system can increase web and file transfer speeds by 3x and 10-100x respectively over satellites.
This is the 2nd defense of my Ph.D. double degree.
More details - https://kkpradeeban.blogspot.com/2019/08/my-phd-defense-software-defined-systems.html
The Sky X technology uses Sky X gateways and the XTP protocol to improve bandwidth utilization over satellite networks. The Sky X gateway intercepts TCP connections and converts data to XTP for transmission over the satellite link. It then converts data back to TCP for delivery. This architecture enhances performance without any changes to end clients or servers. Using XTP and optimizations, Sky X can increase web and file transfer speeds by 3-100 times over standard satellite internet connections. It provides a fully transparent and reliable way to access more of the available satellite bandwidth.
The document discusses the Sky X gateway technology which improves data transmission performance over satellite networks. The Sky X gateway replaces TCP with XTP for satellite segments, improving throughput by 3 times. It consists of gateways, clients, and servers that split TCP into segments, using XTP over satellites to enhance performance without requiring client/server modifications. The Sky X protocol utilizes efficient acknowledgment and rate control algorithms to maximize throughput.
The presentation slides of my Ph.D. thesis proposal ("CAT" as known in my university). I received a score of 18/20.
Supervisors:
Prof. Luís Veiga (IST, ULisboa)
Prof. Peter Van Roy (UCLouvain)
Jury:
Prof. Javid Taheri (Karlstad University)
Prof. Fernando Mira da Silva (IST, ULisboa)
S3 Infotech provides summaries of 10 VLSI projects related to low-power logic circuits, level shifters, adder architectures, optical counters, modular multiplication, transaction IDs, modulo adders, DACs, median filters, and quantum-dot SRAM. The projects explore techniques like spin-based devices, dynamic voltage scaling, pipelining, and cellular automata to improve efficiency, throughput, power consumption, and process variability tolerance in VLSI design.
This is my presentation at IFIP Networking 2018 in Zurich.
In this paper, we propose a cloud-assisted network as an alternative connectivity provider.
More details: https://kkpradeeban.blogspot.com/2018/05/moving-bits-with-fleet-of-shared.html
Services that access or process a large volume of data are known as data services. Big data frameworks consist of diverse storage media and heterogeneous data formats. Through their service-based approach, data services offer a standardized execution model to big data frameworks. Software-Defined Networking (SDN) increases the programmability of the network, by unifying the control plane centrally, away from the distributed data plane devices. In this paper, we present Software-Defined Data Services (SDDS), extending the data services with the SDN paradigm. SDDS consists of two aspects. First, it models the big data executions as data services or big services composed of several data services. Then, it orchestrates the services centrally in an interoperable manner, by logically separating the executions from the storage. We present the design of an SDDS orchestration framework for network-aware big data executions in data centers. We then evaluate the performance of SDDS through microbenchmarks on a prototype implementation. By extending SDN beyond data centers, we can deploy SDDS in broader execution environments.
https://kkpradeeban.blogspot.com/2018/04/software-defined-data-services.html
This document is a seminar report submitted by Shubham Madhukar Rokade to North Maharashtra University in partial fulfillment of a bachelor's degree in computer engineering. The report discusses Sky X technology, which overcomes limitations in TCP performance over satellite links by replacing TCP with a custom protocol optimized for satellite conditions. Key aspects of Sky X addressed include its gateway operation, protocol design features like efficient acknowledgment and dynamic window sizing, and its performance benefits.
Efficient rekeying framework for secure multicast with diverse subscription-p...IEEEFINALYEARPROJECTS
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
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
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
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
This paper describes a new approach to machine learning that uses crowdsourcing to develop predictive models of behavioral outcomes. Users on a website generate questions to collect data on predictors of an outcome like energy usage or BMI. They also answer questions to provide values for potential predictors. Models are built using this user-generated data to predict individual outcomes. Two experiments successfully built models predicting monthly energy usage and BMI based on questions crowdsourced by users. This demonstrates that non-experts can collectively identify predictive features and provide data to build models of behavioral outcomes through an interactive online process.
2013 2014 ieee finalyear me mtech java projects richbraintechnologiesIEEEFINALYEARPROJECTS
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
Enforcing secure and privacy preserving information brokering in distributed ...IEEEFINALYEARPROJECTS
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
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including mobile computing, cloud computing, data mining, and more. It contains over 40 project titles in each area along with contact details for the company that provides these projects.
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
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
The document proposes a personalized mobile search engine called PMSE that captures user preferences through clickthrough data mining and classifies concepts into content and location categories. PMSE uses an ontology-based user profile to personalize search rankings based on the user's current location provided by GPS. It introduces four entropies to balance weights between content and location facets for query results. The client collects local clickthrough data for privacy while heavy tasks are done on the PMSE server. Two privacy parameters restrict profile information exposed to the server. The system was prototyped on Android and experimental results showed improved precision over baseline methods.
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
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
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
Secure and efficient data transmission for cluster based wireless sensor netw...IEEEFINALYEARPROJECTS
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
Pack prediction based cloud bandwidth and cost reduction systemieeepondy
PACK is a system that uses predictive acknowledgements to reduce bandwidth costs and traffic redundancy in cloud computing. It offloads traffic redundancy elimination processing from cloud servers to end clients, minimizing computation costs. Unlike previous solutions, PACK does not require servers to continuously track client status, making it suitable for mobile and elastic cloud environments.
This document proposes CATCH, a cloud-based system to improve data transfer efficiency for high-performance computing (HPC) workloads. CATCH uses cloud storage to stage input data for HPC jobs and offload output data, in order to reduce storage usage at HPC centers and improve data transfer times. Evaluation of CATCH using a real cloud platform and HPC workload logs showed it could reduce average transfer times by up to 81.1% and decrease wait times and storage usage at HPC centers.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
This document provides summaries of 15 networking projects from TTA including the project code, title, description, and reference. The projects cover topics like delay analysis of opportunistic spectrum access MAC protocols, load balancing for network traffic measurement, key exchange protocols for parallel network file systems, anomaly detection in intrusion detection systems, and energy efficient group key agreement for wireless networks. The document provides contact information at the end for obtaining full project papers.
This document summarizes an article from the International Journal of Research in Advent Technology that proposes algorithms for energy-aware resource allocation in datacenters with minimized virtual machine migrations. It discusses how virtualization allows servers to be consolidated onto fewer physical machines to reduce hardware and power consumption. The algorithms aim to dynamically reallocate VMs according to current resource needs while ensuring quality of service and reliability, with the goal of minimizing the number of active physical nodes and switching idle nodes to a low-power state. It describes two proposed VM selection policies - the Minimum Migrations policy that selects the minimum number of VMs to migrate from overloaded hosts, and the Highest Potential Growth policy that migrates VMs with the lowest current CPU usage to prevent future
Hire some ii towards privacy-aware cross-cloud service composition for big da...ieeepondy
Hire some ii towards privacy-aware cross-cloud service composition for big data applications
+91-9994232214,8144199666, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2015-2016
-----------------------------------
Contact:+91-9994232214,+91-8144199666
Email:ieeeprojectchennai@gmail.com
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Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybri...nexgentechnology
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Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
COST-MINIMIZING DYNAMIC MIGRATION OF CONTENT DISTRIBUTION SERVICES INTO HYBR...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Cost minimizing dynamic migration of contentnexgentech15
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
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1) The document discusses quality of service (QoS)-aware data replication for data-intensive applications in cloud computing systems. It aims to minimize data replication cost and number of QoS violated replicas.
2) It presents a mathematical model and algorithm to optimally place QoS-satisfied and QoS-violated data replicas. The algorithm uses minimum-cost maximum flow to obtain the optimal placement.
3) The algorithm takes as input a set of requested nodes and outputs the optimal placement for QoS-satisfied and QoS-violated replicas by modeling the problem as a network flow graph and applying existing polynomial-time algorithms.
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aCelera WAN optimization controllers accelerate applications,
speed data transfers and reduce bandwidth costs using a
combination of application, network and protocol optimization.
Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications.
In cloud computing, the word cloud (also phrased as "the cloud") is used as a metaphor for "the Internet," so the phrase cloud computing means "a type of Internet-based computing," where different services — such as servers, storage and applications — are delivered to an organization's computers and devices through the Internet.
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M.E Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.E Computer Science students.
1) The document proposes a bandwidth-aware virtual machine migration policy for cloud data centers that considers both the bandwidth and computing power of resources when scheduling tasks of varying sizes.
2) It presents an algorithm that binds tasks to virtual machines in the current data center if the load is below the saturation threshold, and migrates tasks to the next data center if the load is above the threshold, in order to minimize completion time.
3) Experimental results show that the proposed algorithm has lower completion times compared to an existing single data center scheduling algorithm, demonstrating the benefits of considering bandwidth and utilizing multiple data centers.
Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
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Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
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Reversible watermarking based on invariant image classification and dynamic h...IEEEFINALYEARPROJECTS
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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
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
Noise reduction based on partial reference, dual-tree complex wavelet transfo...IEEEFINALYEARPROJECTS
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Local directional number pattern for face analysis face and expression recogn...IEEEFINALYEARPROJECTS
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An access point based fec mechanism for video transmission over wireless la nsIEEEFINALYEARPROJECTS
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Spoc a secure and privacy preserving opportunistic computing framework for mo...IEEEFINALYEARPROJECTS
The document proposes a secure and privacy-preserving opportunistic computing framework called SPOC for mobile healthcare emergencies. SPOC leverages spare resources on smartphones to process computationally intensive personal health information during emergencies while minimizing privacy disclosure. It introduces an efficient user-centric access control based on attribute-based access control and a new privacy-preserving scalar product computation technique to allow medical users to decide who can help process their data. Security analysis shows SPOC can achieve user-centric privacy control and performance evaluations show it provides reliable processing and transmission of personal health information while minimizing privacy disclosure during mobile healthcare emergencies.
Privacy preserving back propagation neural network learning over arbitrarily ...IEEEFINALYEARPROJECTS
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Geo community-based broadcasting for data dissemination in mobile social netw...IEEEFINALYEARPROJECTS
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Enabling data dynamic and indirect mutual trust for cloud computing storage s...IEEEFINALYEARPROJECTS
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Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
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A secure protocol for spontaneous wireless ad hoc networks creationIEEEFINALYEARPROJECTS
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Utility privacy tradeoff in databases an information-theoretic approachIEEEFINALYEARPROJECTS
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Pack prediction based cloud bandwidth and cost reduction system
1. C
PACK: Prediction-Based Cloud Bandwidth and Cost Reduction
System
ABSTRACT:
In this paper, we present PACK (Predictive ACKs), a novel end-to-end traffic redundancy
elimination (TRE) system, designed for cloud computing customers. Cloud-based TRE needs to
apply a judicious use of cloud resources so that the bandwidth cost reduction combined with the
additional cost of TRE computation and storage would be optimized. PACK’s main advantage
is its capability of offloading the cloud-server TRE effort to end clients, thus minimizing the
processing costs induced by the TRE algorithm. Unlike previous solutions, PACK does not
require the server to continuously maintain clients’ status. This makes PACK very suitable for
pervasive computation environments that combine client mobility and server migration to
maintain cloud elasticity. PACK is based on a novel TRE technique, which allows the client to
use newly received chunks to identify previously received chunk chains, which in turn can be
used as reliable predictors to future transmitted chunks. We present a fully functional PACK
implementation, transparent to all TCP-based applications and network devices. Finally, we
analyze PACK benefits for cloud users, using traffic traces from various sources.
EXISTING SYSTEM:
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2. Traffic redundancy stems from common end-users’ activities, such as repeatedly accessing,
downloading, uploading (i.e., backup), distributing, and modifying the same or similar
information items (documents, data, Web, and video). TRE is used to eliminate the transmission
of redundant content and, therefore, to significantly reduce the network cost. In most common
TRE solutions, both the sender and the receiver examine and compare signatures of data
chunks, parsed according to the data content, prior to their transmission. When redundant
chunks are detected, the sender replaces the transmission of each redundant chunk with its
strong signature. Commercial TRE solutions are popular at enterprise networks, and involve the
deployment of two or more proprietary-protocol, state synchronized middle-boxes at both the
intranet entry points of data centers.
DISADVANTAGES OF EXISTING SYSTEM:
Cloud providers cannot benefit from a technology whose goal is to reduce customer
bandwidth bills, and thus are not likely to invest in one.
The rise of “on-demand” work spaces, meeting rooms, and work-from-home solutions
detaches the workers from their offices. In such a dynamic work environment, fixed-point
solutions that require a client-side and a server-side middle-box pair become ineffective.
cloud load balancing and power optimizations may lead to a server-side process and data
migration environment, in which TRE solutions that require full synchronization between
the server and the client are hard to accomplish or may lose efficiency due to lost
synchronization
Current end-to-end solutions also suffer from the requirement to maintain end-to-end
synchronization that may result in degraded TRE efficiency.
PROPOSED SYSTEM:
In this paper, we present a novel receiver-based end-to-end TRE solution that relies on the
power of predictions to eliminate redundant traffic between the cloud and its end-users. In this
3. solution, each receiver observes the incoming stream and tries to match its chunks with a
previously received chunk chain or a chunk chain of a local file. Using the long-term chunks’
metadata information kept locally, the receiver sends to the server predictions that include
chunks’ signatures and easy-to-verify hints of the sender’s future data. On the receiver side, we
propose a new computationally lightweight chunking (fingerprinting) scheme termed PACK
chunking. PACK chunking is a new alternative for Rabin fingerprinting traditionally used by
RE applications.
ADVANTAGES OF PROPOSED SYSTEM:
Our approach can reach data processing speeds over3 Gb/s, at least 20% faster than
Rabin fingerprinting.
The receiver-based TRE solution addresses mobility problems common to quasi-mobile
desktop/ laptops computational environments.
One of them is cloud elasticity due to which the servers are dynamically relocated around
the federated cloud, thus causing clients to interact with multiple changing servers.
We implemented, tested, and performed realistic experiments with PACK within a cloud
environment. Our experiments demonstrate a cloud cost reduction achieved at a
reasonable client effort while gaining additional bandwidth savings at the client side.
Our implementation utilizes the TCP Options field, supporting all TCP-based
applications such as Web, video streaming, P2P, e-mail, etc.
We demonstrate that our solution achieves 30% redundancy elimination without
significantly affecting the computational effort of the sender, resulting in a 20% reduction
of the overall cost to the cloud customer.
SYSTEM ARCHITECTURE:
4. Fig. 1. From stream to chain.
Figure 2- Overview of the PACK implementation.