BOINC [ 1] projects are great parallel computing projects that utilize GPUs very well. 1. At least five fields (protocol number, source and destination IP addresses, and ports) are involved in the decision which rule applies to a given packet. Abstract: The System analyses the question and than answers to the user. Third, to facilitate customized trust evaluation, an innovative mechanism is used to store feedback, such that it can be processed flexibly while protecting feedback privacy. To tackle so-called big data problems, one needs to design scalable distributed algorithms to parallelize the model training and to develop efficient implementations of these algorithms. We also allow admin to provide weight age and complexity for each of these questions. 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. Propagation blocking (PB) idea was proposed recently to improve the parallel performance of PageRank and sparse matrix and vector multiplication operations. Extend the streams framework with the ability to run stream sources in parallel on distributed processing frameworks such as Storm, Flink and Spark Streaming. 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. 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. The new contributions and innovative features are summarized below. Jozef Gruska, DrSc. However, the training process of CNNs is very time-consuming, where large amounts of training samples and iterative operations are required to obtain high-quality weight parameters. 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. In Cloud, Can Scientific Communities Benefit from the Economies of Scale? Abstract: Then, we propose a batch job migration algorithm to further improve the system goodput when the green power supply varies widely at different locations. We prove the security of our scheme based on multi-prover zero-knowledge proof system, which can satisfy completeness, knowledge soundness, and zero-knowledge properties. To support Intercloud, a trust evaluation framework among clouds and users is required. Functional dependencies (FDs) play a very important role in many data management tasks such as schema normalization, data cleaning, and query optimization. Moreover, AFDD employs an attribute-parallel method to accelerate the pruning-and-generation of candidate FDs. The system consists of two terminal applications running concurrently over two different PC’s. We here propose a system to detect topic from a collection of document. For practical considerations, EncKV also enables secure system scaling in a minimally intrusive way. ENQUIRY. 2. Provable data possession (PDP) is a technique for ensuring the integrity of data in storage outsourcing. 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. Our system can link to remote client to our software installed on remote system and connect to it for image transfer. Recently, distributed data-parallel computing has become the de facto standard for large-scale data processing. SPOC: A Secure and Privacy-preserving Opportunistic Computing Framework for Mobile-Healthcare Emerge. As with the help of this system the user just needs to enter the account details. Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. BPT-CNN consists of two main components: (a) an outer-layer parallel training for multiple CNN subnetworks on separate data subsets, and (b) an inner-layer parallel training for each subnetwork. You are welcome to suggest other projects if you like. Second,…, SPOC: A Secure and Privacy-preserving Opportunistic Computing Framework for Mobile-Healthcare Emerge With the pervasiveness of smart phones and the advance of wireless body sensor networks (BSNs), mobile Healthcare (m-Healthcare), which extends the operation of Healthcare provider into a pervasive environment for better health monitoring, has attracted considerable interest recently. Abstract: +91 7208839266 (Vashi Branch), 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. Here an image based authentication using Visual Cryptography (vc) is used. During this course students will work on a project dealing with High Performance Computing, such as parallel or distributed computing. 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. Among others, key-value stores are widely adopted due to their superior performance. Megh learns the uncertain dynamics of workloads as-it-goes. Many tutorials explain how to use Python’s multiprocessing module. Unfortunately, due to huge runtime and memory overhead, the existing single-machine FD discovery algorithms are inefficient for large-scale datasets. High Performance and Parallel Computing Projects – Summer of Code . IEEE 2019-2020 Parallel and Distributed Computing Projects in Dotnet . This paper presents a distributed trust evaluation protocol with privacy protection for Intercloud. Cluster schedulers provide flexible resource sharing mechanism for best-effort cloud jobs, which occupy a majority in modern datacenters. 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 … 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. A checksum can determine whether there is redundant data. The technical term for all of this is "Distributed Computing". Prereqs: CS31 and CS35 required; prior upper-level CS course experience required. 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