For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Provable multicopy dynamic data possession in cloud computing systemsPvrtechnologies Nellore
The document proposes a scheme called MB-PMDDP that provides proof to customers that a cloud service provider (CSP) is storing multiple consistent copies of their dynamic data as agreed upon in their service contract. The scheme supports block-level updates to the outsourced data and allows authorized users to access the copies. It provides evidence that the CSP is not storing fewer copies than agreed and that all copies are consistent with the most recent data modifications. The scheme is analyzed and shown to be more efficient than extending existing single-copy dynamic data possession schemes to multiple copies. Experimental results on Amazon cloud validate the theoretical analysis. The scheme is also shown to be secure against colluding servers and a modification is discussed to identify corrupted copies.
IRJET- A Survey on Remote Data Possession Verification Protocol in Cloud StorageIRJET Journal
This document summarizes a survey on remote data possession verification protocols for cloud storage. It begins with an abstract describing the problem of verifying integrity of outsourced data files on remote cloud servers. It then provides background on remote data possession verification (RDPV) protocols and discusses related work on ensuring data integrity and supporting dynamic operations. The document describes the system framework, RDPV protocol, use of homomorphic hash functions, and an optimized implementation using an operation record table to efficiently support dynamic operations like modifications. It concludes that the presented efficient and secure RDPV protocol is suitable for cloud storage applications.
A Survey: Enhanced Block Level Message Locked Encryption for data DeduplicationIRJET Journal
This document summarizes various techniques for data deduplication. It discusses inline and post-process deduplication approaches and encryption-based deduplication methods like message locked encryption (MLE) and block-level message locked encryption (BL-MLE). The document also reviews literature on deduplication schemes using sampling techniques, flash memory indexing, and combining deduplication with Hadoop Distributed File System. Overall, the document provides an overview of different data deduplication methods and their advantages and disadvantages.
Provable Multicopy Dynamic Data Possession in Cloud Computing Systems1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Sap technical deep dive in a column oriented in memory databaseAlexander Talac
The document describes a lecture on column-oriented in-memory databases. The lecture covers the status quo of enterprise computing, database storage techniques like row and column storage layouts, in-memory database operators like scanning and aggregation, and advanced storage techniques like dictionary encoding and tuple reconstruction. The goal is to provide a deep technical understanding of column-oriented in-memory databases and their application in enterprise systems.
Provable data possession for securing the data from untrusted serverIJERA Editor
The model described for the use of Provable data Possession which allow the client to access the stored data at
an Untrusted server that the server possesses the original data without retrieving it. This model executes the
probabilistic proof of possession by random set of blocks which is derived from the server that dramatically
reduces the cost of I/O. Sometimes the Client maintenance the constant amount of data which is used to verify
the proof. The response protocol can transmit a small amount of data, which can minimize network
communication. The two provably –Securer PDP Schemes presents more efficient schemes than previous
solution .Even when compared with schemes that achieve weaker guarantees. It is the widely distributed storage
systems. Using the experiment we can implement and verify the practicality of PDP and we can revel that the
performance of the PDP that is bounded by disk I/O and that cannot be determined by computation.
Reduce the False Positive and False Negative from Real Traffic with Intrusion...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Provable multicopy dynamic data possession in cloud computing systemsPvrtechnologies Nellore
The document proposes a scheme called MB-PMDDP that provides proof to customers that a cloud service provider (CSP) is storing multiple consistent copies of their dynamic data as agreed upon in their service contract. The scheme supports block-level updates to the outsourced data and allows authorized users to access the copies. It provides evidence that the CSP is not storing fewer copies than agreed and that all copies are consistent with the most recent data modifications. The scheme is analyzed and shown to be more efficient than extending existing single-copy dynamic data possession schemes to multiple copies. Experimental results on Amazon cloud validate the theoretical analysis. The scheme is also shown to be secure against colluding servers and a modification is discussed to identify corrupted copies.
IRJET- A Survey on Remote Data Possession Verification Protocol in Cloud StorageIRJET Journal
This document summarizes a survey on remote data possession verification protocols for cloud storage. It begins with an abstract describing the problem of verifying integrity of outsourced data files on remote cloud servers. It then provides background on remote data possession verification (RDPV) protocols and discusses related work on ensuring data integrity and supporting dynamic operations. The document describes the system framework, RDPV protocol, use of homomorphic hash functions, and an optimized implementation using an operation record table to efficiently support dynamic operations like modifications. It concludes that the presented efficient and secure RDPV protocol is suitable for cloud storage applications.
A Survey: Enhanced Block Level Message Locked Encryption for data DeduplicationIRJET Journal
This document summarizes various techniques for data deduplication. It discusses inline and post-process deduplication approaches and encryption-based deduplication methods like message locked encryption (MLE) and block-level message locked encryption (BL-MLE). The document also reviews literature on deduplication schemes using sampling techniques, flash memory indexing, and combining deduplication with Hadoop Distributed File System. Overall, the document provides an overview of different data deduplication methods and their advantages and disadvantages.
Provable Multicopy Dynamic Data Possession in Cloud Computing Systems1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Sap technical deep dive in a column oriented in memory databaseAlexander Talac
The document describes a lecture on column-oriented in-memory databases. The lecture covers the status quo of enterprise computing, database storage techniques like row and column storage layouts, in-memory database operators like scanning and aggregation, and advanced storage techniques like dictionary encoding and tuple reconstruction. The goal is to provide a deep technical understanding of column-oriented in-memory databases and their application in enterprise systems.
Provable data possession for securing the data from untrusted serverIJERA Editor
The model described for the use of Provable data Possession which allow the client to access the stored data at
an Untrusted server that the server possesses the original data without retrieving it. This model executes the
probabilistic proof of possession by random set of blocks which is derived from the server that dramatically
reduces the cost of I/O. Sometimes the Client maintenance the constant amount of data which is used to verify
the proof. The response protocol can transmit a small amount of data, which can minimize network
communication. The two provably –Securer PDP Schemes presents more efficient schemes than previous
solution .Even when compared with schemes that achieve weaker guarantees. It is the widely distributed storage
systems. Using the experiment we can implement and verify the practicality of PDP and we can revel that the
performance of the PDP that is bounded by disk I/O and that cannot be determined by computation.
Reduce the False Positive and False Negative from Real Traffic with Intrusion...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
JPD1406 Enabling Data Integrity Protection in Regenerating-Coding-Based Clou...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
Enabling data integrity protection in regenerating coding-based cloud storage...Papitha Velumani
The document proposes a data integrity protection (DIP) scheme for regenerating-coding-based cloud storage. It augments regenerating codes with cryptographic techniques to allow clients to remotely verify the integrity of random subsets of outsourced data. This addresses vulnerabilities in traditional cloud storage models where data can be corrupted accidentally or maliciously. The proposed FMSR-DIP codes preserve fault tolerance, efficient repair traffic, and add integrity checking abilities while only requiring standard read/write functionalities from servers.
This document discusses minimizing I/O for recovery operations and degraded reads in erasure-coded cloud file systems. It presents an algorithm that determines the optimal number of codeword symbols needed for recovery from disk failures in any XOR-based erasure code. An analysis shows that sparse codes require fewer symbols and less I/O for recovery compared to other RAID-6 codes. Experimental results demonstrate that reducing recovery I/O improves throughput. The document also analyzes requirements for degraded reads and defines a new class of codes that perform more efficient degraded reads than existing codes.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
This document summarizes a research paper that proposes a public auditing scheme for regenerating-code-based cloud storage. The scheme introduces a proxy that can regenerate authenticators on behalf of data owners to solve issues when authenticators fail in the absence of owners. It also designs a novel public verifiable authenticator generated using keys that can be regenerated using partial keys. Extensive analysis shows the scheme is provably secure and efficient enough to integrate into regenerating-code-based cloud storage.
Parallel and distributed system projects for java and dot netredpel dot com
This document contains summaries of 8 papers related to distributed systems, cloud computing, and information security. The papers cover topics such as stochastic modeling of data center performance in cloud systems, cost-effective privacy preservation of intermediate data sets in the cloud, capacity of data collection in wireless sensor networks, denial-of-service attack detection using multivariate correlation analysis, dynamic resource allocation using virtual machines in cloud computing, secure outsourcing of large-scale systems of linear equations to the cloud, and deanonymization attacks against anonymized social networks.
Compare and contrast big data processing platforms RDBMS, Hadoop, and Spark. pros and cons of each platform are discussed. Business use cases are also included.
This document summarizes several privacy-preserving data aggregation protocols for wireless sensor networks. It discusses encrypted protocols that encrypt data at different points and non-encrypted protocols that embed watermarks. Specific protocols described include CDAMA, RCDA, iPDA, and HCBDA. These protocols aim to minimize energy usage by reducing redundant data transmission while preserving data privacy and integrity. However, each protocol presents different tradeoffs between communication cost, computation cost, supported applications, and ability to ensure integrity and recover individual sensor data.
The document proposes a distributed fault/intrusion-tolerant sensor data storage scheme based on network coding and homomorphic fingerprinting. It uses network coding to encode and distribute source data fragments, and homomorphic fingerprinting to quickly locate incorrect fragments and initialize data maintenance. This is the first work to provide both data integrity assurance and high availability for distributed sensor data storage in wireless sensor networks. The scheme achieves robustness and efficiency against Byzantine failures and malicious attacks.
Titles with Abstracts_2023-2024_Cloud Computing.pdfinfo751436
Engaging in cloud computing domain projects can provide numerous advantages, as cloud technology continues to transform the way businesses operate and deliver services. Here are some key advantages of working on cloud computing projects:
Scalability: Cloud computing allows for easy scalability, enabling organizations to scale their resources up or down based on demand. This ensures that they only pay for the resources they actually use, optimizing costs.
Cost Efficiency: Cloud computing eliminates the need for upfront infrastructure investment and the maintenance of physical servers. This can lead to significant cost savings, especially for smaller businesses or startups with limited capital.
Flexibility and Agility: Cloud services provide flexibility in terms of deployment options, programming languages, and frameworks. This agility allows developers to experiment with new ideas and bring products to market more quickly.
Global Reach: Cloud services are typically offered through a network of data centers located around the world. This enables organizations to provide services globally with low latency and high availability.
Resource Optimization: Cloud platforms offer tools for optimizing resource usage, such as automatic scaling, load balancing, and serverless computing. This ensures that resources are allocated efficiently, improving overall performance.
Security and Compliance: Leading cloud service providers invest heavily in security measures, including data encryption, identity and access management, and regular security audits. Leveraging cloud services can enhance the overall security posture of an organization.
Collaboration and Remote Work: Cloud computing facilitates collaboration among team members, allowing them to access and work on shared resources from anywhere with an internet connection. This is particularly valuable for remote or distributed teams.
Disaster Recovery and Business Continuity: Cloud services provide robust disaster recovery options, including backup and data replication. This ensures that organizations can quickly recover from data loss or system failures, contributing to business continuity.
Automatic Updates and Maintenance: Cloud service providers handle infrastructure maintenance, updates, and patching. This frees up IT teams from routine tasks, allowing them to focus on strategic initiatives and innovation.
Innovation Acceleration: Cloud computing provides access to a wide range of cutting-edge technologies, such as artificial intelligence, machine learning, and Internet of Things (IoT). Organizations can leverage these technologies to drive innovation in their products and services.
Elasticity: Cloud services offer elasticity, allowing organizations to dynamically adjust their computing resources to match changing workloads. This ensures optimal performance during peak demand periods.
Iaetsd mapreduce streaming over cassandra datasetsIaetsd Iaetsd
This document discusses processing large datasets from Denmark's traffic using Apache Cassandra and MapReduce. It begins with an introduction to big data and how the volume, velocity, and variety of data requires alternative processing methods. Apache Cassandra is introduced as a distributed and scalable NoSQL database for storing large amounts of structured and unstructured data across servers. The document then discusses Cassandra's data model and system architecture. It describes how MapReduce can be used for distributed processing of datasets stored in Cassandra. The paper aims to process traffic datasets from Denmark using Cassandra and MapReduce to help the transportation department monitor traffic.
Review and Performance Comparison of Distributed Wireless Reprogramming Proto...IOSR Journals
Abstract:A Reprogramming service should be efficient, reliable and secured in Wireless sensor network.
Wireless reprogramming for wireless sensor network emphasize over the process of changing or improving the
functionality of simulation or existing code. For challenging and on demand security purpose, secure and
distributed routing protocols such as SDRP and ISDRP were developed. This paper reviews and compares the
propagation delay for two reprogramming protocols, SDRP and ISDRP, which based on hierarchy of energies
in network. Both are based on identity-based cryptography. But in the improved protocol the keys are
distributed to the network as per the sorting and communication capabilities to improve the broadcast or
communication nature of the network. Moreover, ISDRP demonstrates the security concepts, which deals over
the key encryption properties using heap sort algorithm and the confidentiality parameter is enhanced by
changing the private key values after certain interval of time for cluster head in respect to different public keys.
The ISDRP shows high efficiency rate clearly with the throughput and propagation results by implementation in
practice over SRDP.
Keywords: identity-based cryptography,ISDRP, heapsort algorithm, Reprogramming, SDRP, Wireless sensor
network.
In this paper we explore the issue of store determination in a portable shared specially appointed system. In our vision reserve determination ought to fulfill the accompanying prerequisites: (i) it ought to bring about low message overhead and (ii) the data ought to be recovered with least postponement. In this paper, we demonstrate that these objectives can be accomplished by part the one bounce neighbors into two sets in view of the transmission run. The proposed approach lessens the quantity of messages overflowed into the system to discover the asked for information. This plan is completely circulated and comes requiring little to no effort as far as store overhead. The test comes about gives a promising outcome in view of the measurements of studies.
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
This paper focuses on packet routing in Delay Tolerant Networks (DTNs) where end-to-end connectivity is intermittent. It studies routing policies for transferring files when packets arrive progressively at the source node. It analyzes the optimality conditions for routing policies in terms of delivery probability and delay. It proposes piecewise-threshold policies that perform better than existing work-conserving policies, especially when there is an energy constraint. It extends the analysis to coded packets generated using linear block codes and rateless coding. Numerical results show piecewise-threshold policies have higher efficiency than work-conserving policies.
Compare Array vs Host vs Hypervisor vs Network-Based ReplicationMaryJWilliams2
Network-based replication is a data replication technique that operates at the network layer. It involves replicating data between source and target systems over a network infrastructure. Unlike array-based or host-based replication, network-based replication is not tightly coupled to storage arrays or hosts but focuses on replicating data at the network level.
In network-based replication, data is captured and replicated at the application or file system level. It intercepts the input/output (I/O) operations at the network layer, captures the changes made to data, and replicates them to the target system. This replication method allows for the replication of specific files, folders, or even individual application transactions.
For more information visit : https://stonefly.com/blog/network-attached-storage-appliance-practicality-and-usage
A novel authenticated cipher for rfid systemsijcisjournal
In this paper, we present RBS (Redundant Bit Security) algorithm which is a low-complexity symmetric
encryption with a 132-bit secret key. In this algorithm redundant bits are distributed among plaintext data
bits to change the location of the plaintext bits in the transmitted data without changing their order. The
location of redundant bits inside the transmitted data represents the secret key between sender and
receiver. The algorithm provides integrity and authentication of the original data as well. The
implementation comparison of this algorithm with other algorithms confirms that it a good candidate for
resource-constraint devices such as RFID systems and wireless sensors.
This paper describes a framework called Real-time Analytics Foundation (RAF) that supports low-latency analytics on large datasets by combining in-memory processing with resilient updates. RAF uses Resilient Distributed Datasets (RDDs) to store data in memory across clusters for fault tolerance. It introduces delegates that bridge data between storage and RDDs to share data efficiently in memory. Evaluation shows RAF provides orders of magnitude latency improvements over HDFS for queries and high scalability for updates.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
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JPD1406 Enabling Data Integrity Protection in Regenerating-Coding-Based Clou...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
Enabling data integrity protection in regenerating coding-based cloud storage...Papitha Velumani
The document proposes a data integrity protection (DIP) scheme for regenerating-coding-based cloud storage. It augments regenerating codes with cryptographic techniques to allow clients to remotely verify the integrity of random subsets of outsourced data. This addresses vulnerabilities in traditional cloud storage models where data can be corrupted accidentally or maliciously. The proposed FMSR-DIP codes preserve fault tolerance, efficient repair traffic, and add integrity checking abilities while only requiring standard read/write functionalities from servers.
This document discusses minimizing I/O for recovery operations and degraded reads in erasure-coded cloud file systems. It presents an algorithm that determines the optimal number of codeword symbols needed for recovery from disk failures in any XOR-based erasure code. An analysis shows that sparse codes require fewer symbols and less I/O for recovery compared to other RAID-6 codes. Experimental results demonstrate that reducing recovery I/O improves throughput. The document also analyzes requirements for degraded reads and defines a new class of codes that perform more efficient degraded reads than existing codes.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
This document summarizes a research paper that proposes a public auditing scheme for regenerating-code-based cloud storage. The scheme introduces a proxy that can regenerate authenticators on behalf of data owners to solve issues when authenticators fail in the absence of owners. It also designs a novel public verifiable authenticator generated using keys that can be regenerated using partial keys. Extensive analysis shows the scheme is provably secure and efficient enough to integrate into regenerating-code-based cloud storage.
Parallel and distributed system projects for java and dot netredpel dot com
This document contains summaries of 8 papers related to distributed systems, cloud computing, and information security. The papers cover topics such as stochastic modeling of data center performance in cloud systems, cost-effective privacy preservation of intermediate data sets in the cloud, capacity of data collection in wireless sensor networks, denial-of-service attack detection using multivariate correlation analysis, dynamic resource allocation using virtual machines in cloud computing, secure outsourcing of large-scale systems of linear equations to the cloud, and deanonymization attacks against anonymized social networks.
Compare and contrast big data processing platforms RDBMS, Hadoop, and Spark. pros and cons of each platform are discussed. Business use cases are also included.
This document summarizes several privacy-preserving data aggregation protocols for wireless sensor networks. It discusses encrypted protocols that encrypt data at different points and non-encrypted protocols that embed watermarks. Specific protocols described include CDAMA, RCDA, iPDA, and HCBDA. These protocols aim to minimize energy usage by reducing redundant data transmission while preserving data privacy and integrity. However, each protocol presents different tradeoffs between communication cost, computation cost, supported applications, and ability to ensure integrity and recover individual sensor data.
The document proposes a distributed fault/intrusion-tolerant sensor data storage scheme based on network coding and homomorphic fingerprinting. It uses network coding to encode and distribute source data fragments, and homomorphic fingerprinting to quickly locate incorrect fragments and initialize data maintenance. This is the first work to provide both data integrity assurance and high availability for distributed sensor data storage in wireless sensor networks. The scheme achieves robustness and efficiency against Byzantine failures and malicious attacks.
Titles with Abstracts_2023-2024_Cloud Computing.pdfinfo751436
Engaging in cloud computing domain projects can provide numerous advantages, as cloud technology continues to transform the way businesses operate and deliver services. Here are some key advantages of working on cloud computing projects:
Scalability: Cloud computing allows for easy scalability, enabling organizations to scale their resources up or down based on demand. This ensures that they only pay for the resources they actually use, optimizing costs.
Cost Efficiency: Cloud computing eliminates the need for upfront infrastructure investment and the maintenance of physical servers. This can lead to significant cost savings, especially for smaller businesses or startups with limited capital.
Flexibility and Agility: Cloud services provide flexibility in terms of deployment options, programming languages, and frameworks. This agility allows developers to experiment with new ideas and bring products to market more quickly.
Global Reach: Cloud services are typically offered through a network of data centers located around the world. This enables organizations to provide services globally with low latency and high availability.
Resource Optimization: Cloud platforms offer tools for optimizing resource usage, such as automatic scaling, load balancing, and serverless computing. This ensures that resources are allocated efficiently, improving overall performance.
Security and Compliance: Leading cloud service providers invest heavily in security measures, including data encryption, identity and access management, and regular security audits. Leveraging cloud services can enhance the overall security posture of an organization.
Collaboration and Remote Work: Cloud computing facilitates collaboration among team members, allowing them to access and work on shared resources from anywhere with an internet connection. This is particularly valuable for remote or distributed teams.
Disaster Recovery and Business Continuity: Cloud services provide robust disaster recovery options, including backup and data replication. This ensures that organizations can quickly recover from data loss or system failures, contributing to business continuity.
Automatic Updates and Maintenance: Cloud service providers handle infrastructure maintenance, updates, and patching. This frees up IT teams from routine tasks, allowing them to focus on strategic initiatives and innovation.
Innovation Acceleration: Cloud computing provides access to a wide range of cutting-edge technologies, such as artificial intelligence, machine learning, and Internet of Things (IoT). Organizations can leverage these technologies to drive innovation in their products and services.
Elasticity: Cloud services offer elasticity, allowing organizations to dynamically adjust their computing resources to match changing workloads. This ensures optimal performance during peak demand periods.
Iaetsd mapreduce streaming over cassandra datasetsIaetsd Iaetsd
This document discusses processing large datasets from Denmark's traffic using Apache Cassandra and MapReduce. It begins with an introduction to big data and how the volume, velocity, and variety of data requires alternative processing methods. Apache Cassandra is introduced as a distributed and scalable NoSQL database for storing large amounts of structured and unstructured data across servers. The document then discusses Cassandra's data model and system architecture. It describes how MapReduce can be used for distributed processing of datasets stored in Cassandra. The paper aims to process traffic datasets from Denmark using Cassandra and MapReduce to help the transportation department monitor traffic.
Review and Performance Comparison of Distributed Wireless Reprogramming Proto...IOSR Journals
Abstract:A Reprogramming service should be efficient, reliable and secured in Wireless sensor network.
Wireless reprogramming for wireless sensor network emphasize over the process of changing or improving the
functionality of simulation or existing code. For challenging and on demand security purpose, secure and
distributed routing protocols such as SDRP and ISDRP were developed. This paper reviews and compares the
propagation delay for two reprogramming protocols, SDRP and ISDRP, which based on hierarchy of energies
in network. Both are based on identity-based cryptography. But in the improved protocol the keys are
distributed to the network as per the sorting and communication capabilities to improve the broadcast or
communication nature of the network. Moreover, ISDRP demonstrates the security concepts, which deals over
the key encryption properties using heap sort algorithm and the confidentiality parameter is enhanced by
changing the private key values after certain interval of time for cluster head in respect to different public keys.
The ISDRP shows high efficiency rate clearly with the throughput and propagation results by implementation in
practice over SRDP.
Keywords: identity-based cryptography,ISDRP, heapsort algorithm, Reprogramming, SDRP, Wireless sensor
network.
In this paper we explore the issue of store determination in a portable shared specially appointed system. In our vision reserve determination ought to fulfill the accompanying prerequisites: (i) it ought to bring about low message overhead and (ii) the data ought to be recovered with least postponement. In this paper, we demonstrate that these objectives can be accomplished by part the one bounce neighbors into two sets in view of the transmission run. The proposed approach lessens the quantity of messages overflowed into the system to discover the asked for information. This plan is completely circulated and comes requiring little to no effort as far as store overhead. The test comes about gives a promising outcome in view of the measurements of studies.
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
This paper focuses on packet routing in Delay Tolerant Networks (DTNs) where end-to-end connectivity is intermittent. It studies routing policies for transferring files when packets arrive progressively at the source node. It analyzes the optimality conditions for routing policies in terms of delivery probability and delay. It proposes piecewise-threshold policies that perform better than existing work-conserving policies, especially when there is an energy constraint. It extends the analysis to coded packets generated using linear block codes and rateless coding. Numerical results show piecewise-threshold policies have higher efficiency than work-conserving policies.
Compare Array vs Host vs Hypervisor vs Network-Based ReplicationMaryJWilliams2
Network-based replication is a data replication technique that operates at the network layer. It involves replicating data between source and target systems over a network infrastructure. Unlike array-based or host-based replication, network-based replication is not tightly coupled to storage arrays or hosts but focuses on replicating data at the network level.
In network-based replication, data is captured and replicated at the application or file system level. It intercepts the input/output (I/O) operations at the network layer, captures the changes made to data, and replicates them to the target system. This replication method allows for the replication of specific files, folders, or even individual application transactions.
For more information visit : https://stonefly.com/blog/network-attached-storage-appliance-practicality-and-usage
A novel authenticated cipher for rfid systemsijcisjournal
In this paper, we present RBS (Redundant Bit Security) algorithm which is a low-complexity symmetric
encryption with a 132-bit secret key. In this algorithm redundant bits are distributed among plaintext data
bits to change the location of the plaintext bits in the transmitted data without changing their order. The
location of redundant bits inside the transmitted data represents the secret key between sender and
receiver. The algorithm provides integrity and authentication of the original data as well. The
implementation comparison of this algorithm with other algorithms confirms that it a good candidate for
resource-constraint devices such as RFID systems and wireless sensors.
This paper describes a framework called Real-time Analytics Foundation (RAF) that supports low-latency analytics on large datasets by combining in-memory processing with resilient updates. RAF uses Resilient Distributed Datasets (RDDs) to store data in memory across clusters for fault tolerance. It introduces delegates that bridge data between storage and RDDs to share data efficiently in memory. Evaluation shows RAF provides orders of magnitude latency improvements over HDFS for queries and high scalability for updates.
Similar to Progressive data retrieval for distributed (20)
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
CTVS is a novel data extraction and alignment method that combines tag and value similarity to extract data from query result pages. It first identifies and segments query result records in the pages and aligns them into a table with data values from the same attribute in the same column. CTVS handles cases where records are not contiguous due to auxiliary information and any nested structures within records. It also designs a new record alignment algorithm that aligns attributes pairwise and holistically using tag and value similarity. Experimental results show CTVS achieves high precision and outperforms existing methods.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
The document discusses a new algorithm for topic mining over asynchronous text sequences. The algorithm aims to explore correlations between multiple related text sequences that may have different time stamps. It consists of two alternating steps: 1) extracting common topics from sequences based on adjusted time stamps, and 2) adjusting time stamps according to the discovered topic time distributions. The approach is evaluated on research papers and news articles, demonstrating effectiveness in identifying topics across asynchronously published documents.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
The document presents a new approach called TSCAN for temporally summarizing topics from a collection of documents. TSCAN first derives the major themes of a topic from the eigenvectors of a temporal block association matrix. It then extracts significant events and their summaries for each theme by examining the eigenvectors. Finally, it associates the extracted events based on their temporal closeness and context similarity to form an evolution graph of the topic. Experiments on the TDT4 corpus show that temporal summaries generated by TSCAN present topics in a comprehensible form and are superior to existing summarization methods based on human references.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
1. Progressive Data Retrieval for Distributed Networked
Storage
Abstract—
We propose decentralized progressive data retrieval (PDR) mechanism for data
reconstruction in a network of Byzantine and crash-stop nodes. The scheme
progressively retrieves stored data, such that it achieves the minimum
communication cost possible. In particular, PDR gracefully adapts the cost of
successful data retrieval to the number of Byzantine and crash-stop storage nodes.
At the core of PDR is an incremental Reed-Solomon decoding (IRD) procedure
that is highly computation efficient for data reconstruction. IRD’s computation
efficiency arises from its ability to utilize intermediate computation results. In
addition, we provide an in-depth analysis of PDR and compare it to decentralized
erasure coding and decentralized fountain coding algorithms for distributed storage
systems. Moreover, our implementation results show that PDR has up to 35 times
lower computation time over the state-of the- art error-erasure decoding scheme for
distributed storage systems. In our analysis, we also show that the code structure of
PDR and the number of available storage nodes are independent of each other, and
they can be used to control both the data dissemination and retrieval complexity.
Reasons for the proposal:
A crash-stop or erasure node in a networked storage system is one that becomes
unavailable because it can neither transmit nor receive data. Byzantine nodes are
those nodes that fail in an arbitrary manner and cannot be trusted. They are more
pertinent than erasure nodes given the prevalence of cheap storage devices,
software bugs, and malicious attacks. Crash-stop nodes can be identified, via keep-
alive messages for instance. However, the identity of Byzantine nodes can be
2. known, to a data collector requiring data reconstruction, only via an error-erasure
decoding algorithm. Hence a Efficient method to overcome these issues has to be
designed .
Existing system & demerits :
Reed-Solomon (RS) codes have been used for storage in stand-alone storage
systems . However, our work concerns RS codes for networked storage. Even
though RS codes can be applied to achieve minimum communication overhead,
their centralized nature and high coordination overhead make them unsuitable .
Proposed system:
We propose a storage-optimal and decentralized coding scheme that disperses
contents of a data file, and retrieves it efficiently in networked storage systems.
Our RS coding scheme provides better performance than the decentralized erasure
and fountain coding schemes. The key novelty of our solution lies in a progressive
data retrieval procedure, which retrieves just enough data from live storage nodes
and performs decoding incrementally. As a result, both communication and
computation costs are minimized, and adapt to the degree of errors, due to
Byzantine nodes, in the system. In this paper, coded symbols and storage symbols
are used interchangeably.
An erasure code can be defined by the following two primitives:
3. For the decode primitive, if any k of the n coded symbols suffice to reconstruct the
original data, the code has optimal reception efficiency and is referred to as
(n,k)Maximum Distance Separable (MDS) erasure code.