LU without block-cyclic; LU with dynamic # of CPUs; new SVD algorithm; Parallel Algorithms, Libraries Project Ideas. These requirements include the following: 1. In this paper we have proposed a new approach named as "A Novel Anti phishing framework based on visual cryptography" to solve the problem of phishing. For this purpose we propose an improved data leakage detection technique to trace back sources of unauthorized leakage by using a strategy of data allocation across various agents. Distributed systems constitute a large umbrella under which several different software systems are classified. To deal with this problem, we apply data replication techniques. We propose several improvements to increase parallel throughput, reduce memory overhead, and improve work efficiency. Here we propose to build a secured image encryption algorithm that can be used to encrypt as well as send images remotely to the intended receiver. The System uses built in artificial intelligence to answer the query. Although each part of the network only works on a small part of the problem the project collects all the pieces and puts them all together. To support Intercloud, a trust evaluation framework among clouds and users is required. parallel computing base: 1600 lines (multi.j) distributed arrays: 762 lines; Modern Parallel Linear Algebra Project Ideas. Student Career And Personality Prediction Android Application, Heart And Diabetes Disease Prediction Using Machine Learning, Movie Success Prediction Using Machine Learning, Airline Crash Prediction Using Machine Learning, Rainfall Prediction Using Machine Learning, Electronics Software projects for final year project engineering students| IEEE BE Project Mumbai Thane Vashi, Internship For BE MScIT BScIT & MCA Student. Cooperative Provable Data Possession for Integrity Verification in Multi-Cloud Storage. The receiving system sends out a notification acknowledgement to…, Improved Data Leakage Detection Data leakage detection techniques are built for users to track if data has been leaked and the trace the sources of data leakage. Provable data possession (PDP) is a technique for ensuring the integrity of data in storage outsourcing. Parallel and distributed computing occurs across many different topic areas in computer science, including algorithms, computer architecture, networks, operating systems, and software engineering. Parallel and Distributed Computing Project IEEE Papers available in Java and DotNET, Java & DotNET IEEE 2013 - 2014 * A 3.42-Approximation Algorithm for Scheduling Malleable Tasks under Precedence Constraints * A Fast RPC System for Virtual Machines * A New Progressive Algorithm for a Multiple Longest Common Subsequences Problem and Its Efficient Parallelization * A Novel Message … Julia is emerging as a serious tool for technical computing and is ideally suited for the ever-growing needs of big data analytics. Active Research Projects. In order to reduce the time to exclude the false positives, current research uses extraction of file data checksum. If a person views that object which has hidden information inside, he or she will have no idea that there is any secrete information. What this system does is, it lets user to send text as secrete message inside an image file, user uploads the image and enters the text to send secretly, and gives a key or a pass word to…, Sending a secure message over a network to a remote site We here use a system to securely transfer a message encrypted using Aes algorithm to a remote site so that only proper authentication at remote site can decrypt the message. How to be charismatic – backed by science; Sept. 22, 2020. Distributed hash join (MPI) and sort-merge join (MPI) for the VLDB'17 paper: hpc-distributed-joins-0_1.zip Distributed hash join (InfiniBand) for the SIGMOD'15 paper: multicore-distributed-hashjoins-0_1.zip Sort-merge joins source code for the VLDB'13 paper: sort-merge-joins-1.4.bz2 Hash joins source code for the VLDB'13 paper: multicore-hashjoins-0.2.tar.gz Our research contributions are three fold: first, we propose an enhanced scientific public cloud model (ESP) that encourages small or medium scale research organizations rent elastic resources from a public cloud provider; second, on a basis of the ESP model, we design and implement the Dawning Cloud system that can consolidate heterogeneous scientific workloads on a Cloud site; third, we propose an innovative emulation methodology and perform a comprehensive evaluation. Furthermore, it explicitly models the per-message processing overhead which can be substantial but is often ignored by previous works. For security, DES algorithm is used along with instant verification and consistency check algorithm. In such cases they need to go to bank or search for PC connected to internet to get access to the services offered by internet banking for reliable fund transfer. Running the same code on more than one machine. Abstract: Multimedia, Parallel And Distributed System, Web | Desktop Application Traffic Signal: Management & Control System This innovative software projects is an effective traffic signal management project that allows for managing 4 way traffic signal management system. Experimental results confirm that EncKV preserves the efficiency and scalability of distributed key-value stores. In Cloud, Can Scientific Communities Benefit from the Economies of Scale? Simulation results show that the MCOP algorithm provides a stable method with low time complexity which significantly reduces execution time and energy consumption by optimally distributing tasks between mobile devices and servers, besides it adapts well to mobile environmental changes. Now the system transfers this message to remote site using over a Tcp/ip internet connection. These schemes enable Megh to be scalable and to work in real-time. However, it is challenging to design an efficient distributed FD discovery algorithm. For example we may find sensitive data stored on an unauthorized laptop or website. Resource-Aware Application State Monitoring. SPOC: A Secure and Privacy-preserving Opportunistic Computing Framework for Mobile-Healthcare Emerge. For Intercloud, the environment is highly dynamic and distributed, and relationships can be one-way or two-way (i.e., clouds provide services to each other). On this selection the system selects questions randomly in a way that their weight age makes up for 100 marks and according to difficulty that admin chooses the questions are chosen based on their complexity level. A checksum can determine whether there is redundant data. The protocol has been proved based on a formal security model. Grid computing projects. To accommodate massive digital data, distributed data stores have become the main solution for cloud services. In the outer-layer parallelism, we address critical issues of distributed and parallel computing, including data communication, synchronization, and workload balance. The idea is based on separating parallel computation into two phases, binning and accumulation, such that random memory accesses are replaced with contiguous accesses. successfully finding best configurations for most of scheduling scenarios and considerably reducing latencies by a factor of two with low optimization time. The system also uses acknowledgements to signal the message integrity and delivery over the network. For security reasons, once a user is revoked from the group, the blocks which were previously signed by this revoked user must be re-signed by an existing user. Mumbai – 400067, +91 9892369017 Highly Parallel and Distributed Computing Systems Project Identification MSM0021622419 Project Period 1/2005 - 12/2011 Investor / Pogramme / Project type Ministry of Education, Youth and Sports of the CR. Research Intents; MU Faculty or unit Faculty of Informatics prof. RNDr. Furthermore, the proposed algorithm has linear time complexity with respect to the number of samples making it ideal for SVM training on decentralized environments such as smart embedded systems and edge-based internet of things, IoT. Among others, key-value stores are widely adopted due to their superior performance. Thus, algorithms from computational geometry can be applied. With available bandwidth increasing rapidly, very efficient matching algorithms need to be deployed in modern firewalls to ensure that the firewall does not become a bottleneck Since firewalls need to filter all the traffic crossing the network perimeter, they should be able to sustain a very high throughput, or risk becoming a bottleneck. The entire system works according to an algorithm that allows for smooth and efficient traffic flow across all four ways. Intercloud seeks to facilitate resource sharing among clouds. Send . For general tasks (represented in arbitrary topological consumption graphs), we propose a Min-Cost Offloading Partitioning (MCOP) algorithm that aims at finding the optimal partitioning plan (i.e., to determine which portions of the application must run on the mobile device and which portions on cloud/edge servers) under different cost models and mobile environments. The basic idea behind Cloud computing is that resource providers offer elastic resources to end users. During the second part of the course, students will propose and carry out a semester-long research project related to parallel and/or distributed computing. Tripletechsoft – We at Chennai Projects have experts who have worked on various projects regarding distributed systems and have established results using parallel computing .. (+91) 9489261555 / 9489263555 tripletechsoftprojects@gmail.com PROJECT ENQUIRY However, the flourish of m-Healthcare still faces many challenges including information security and privacy preservation. Recently, distributed data-parallel computing has become the de facto standard for large-scale data processing. We will have a meeting every Wednesday where each team is supposed to report on the project status. In specific, to leverage the PHI privacy disclosure and the high reliability of PHI process and transmission in m-Healthcare…, Cooperative Provable Data Possession for Integrity Verification in Multi-Cloud Storage. Optimal partitioning will allow mobile devices to obtain the highest benefit from Mobile Cloud Computing (MCC) or Mobile Edge Computing (MEC). Abstract: We here propose a system to detect topic from a collection of document. The tremendous growth of cloud computing and large-scale data analytics highlight the importance of reducing datacenter power consumption and environmental impact of brown energy. The system represents the traffic strength of a road graphically using traffic judgments. Steganography involves hiding Text so it appears that to be a normal image or other file. Also, suppose that access to the database is strictly controlled, because for example data are used for certain experiments that need to be maintained confidential. Moreover, SmartFD achieves good row scalability and column scalability. The algorithm uses a compact representation of the kernel matrix, which is based on the QR decomposition of low-rank approximations, to reduce both computation and storage requirements for the training stage. Clearly, allowing Alice to directly read the contents of the tuple breaks the privacy of Bob (e.g., a patient’s medical record); on the other hand, the confidentiality of the database managed by Alice is violated once Bob has access to the contents of the database. Then, we propose a batch job migration algorithm to further improve the system goodput when the green power supply varies widely at different locations. Thus a user just needs to visit any EFT center, in order to make the payment. The strategy allows user to transfer data to users by considering receivers as agents who are allocated data along with some id based undetectable alterations. Support Vector Machines (SVM) are widely used as supervised learning models to solve the classification problem in machine learning. Towards Low-Latency Batched Stream Processing by Pre-Scheduling Abstract: Many stream processing frameworks have been developed to meet the requirements of real-time processing. During the early 21st century there was explosive growth in multiprocessor design and other strategies for complex applications to run faster. 100000 + PROJECTS … The key idea here is to transform a scheduler's resource allocation mechanism and their variable influence factors (configurations, scheduling constraints, available resources, and workload status) into business rules and facts in a rule engine, thereby reasoning about these correlated factors in job performance comparison. Additionally, SmartFD has sub-linear node scalability. If the file already exists, then it will…, Secure Data Transfer Over Internet Using Image Steganography Steganography is the technique of hiding private or sensitive information within something that appears to be nothing be a usual image. We introduce task decomposition and scheduling strategies with the objectives of thread-level load balancing and minimum waiting time for critical paths. In this paper, we propose a novel bandwidth-efficient cooperative authentication (BECAN) scheme for filtering injected false data. Next, to discover all the FDs grouped by a given attribute, we propose an efficient distributed algorithm AFDD (Attribute-centric Functional Dependency Discovery). The user does not have to personally go to the college for enquiry. Kandivali (West) ENQUIRY. Building microservices and actorsthat have state and can communicate. Gracefully handling machine failures. 2015 IEEE Java, Android Projects,TMKS InfoTech, Bangalore #1510,Sri Gowri Shankara Complex, 2nd Floor,MKK Road, Near Harishchandra Ghat, Mariyappanapalya, Rajajinagar 2nd Stage, Bangalore - 560021. Architectural styles help categorize and provide reference models for distributed systems. IEEE 2019-2020 Parallel and Distributed Computing Projects in Dotnet . Simulations have been performed to demonstrate the effectiveness of the protocol. Do Not Use Any Other File Names. Training SVMs for large datasets is an extremely challenging task due to excessive storage and computational requirements. Distributed system is a software system in which components located on the networked … Furthermore, we propose an adaptive switching strategy between distributed sampling and distributed validation based on the unified time-based efficiency metric. Abstract: 2015 and 2016 ieee projects for Parallel and Distributed Computing 1. Unification of parallel and distributed computing allows one to harness a set of networked and heterogeneous computers and present them as a unified resource. In this paper we consider a…, In Cloud, Can Scientific Communities Benefit from the Economies of Scale? In this paper, we propose a distributed algorithm for SVM training that is scalable and communication-efficient. The system consists of 4 signals corresponding to each road. FACEBOOK. In addition, we articulate performance optimization mechanisms for our scheme, and in particular present an efficient method for selecting optimal parameter values…, Traffic Signal: Management & Control System, Image Encryption For Secure Internet Transfer, Data Duplication Removal Using File Checksum, Secure Data Transfer Over Internet Using Image Steganography, Sending a secure message over a network to a remote site, Secure Electronic Fund Transfer Over Internet Using DES, Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud, BECAN: A Bandwidth-Efficient Cooperative Authentication Scheme for Filtering Injected False Data in, Privacy-Preserving Updates to Anonymous and Confidential Databases, The Geometric Efficient Matching Algorithm for Firewalls. IEEE 2019-2020 Parallel and Distributed Computing Projects in Java, IEEE 2018-2019 Project Titles on Iot -internet of Things, Parallel and Distributed Computing- Dotnet. 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