Digital Commons Network^™

Data Network Visualization, Marcangelo Dilinila, Carl Miranda, Chase Keech

Capstone Design Expo Posters

Data visualization is an essential component of any data analysis. A visual image can aid in more in-depth analysis of any researched data. Although there are data visualization products that already exist on the market, such as Gephi, yEd Graph editor, and OmniGraffle, they are platform-dependent and can be difficult for novice users to install and get started. Data Network Visualization eliminates these weaknesses by being fully accessible through the web, while having a less cluttered user interface. This allows a user to take advantage of a variety of visualization tools without the need to download a program.

To achieve …

Privacy And Cloud Computing In Public Schools, Joel Reidenberg, N. Cameron Russell, Jordan Kovnot, Thomas B. Norton, Ryan Cloutier, Daniela Alvarado

Center on Law and Information Policy

Today, data driven decision-making is at the center of educational policy debates in the United States. School districts are increasingly turning to rapidly evolving technologies and cloud computing to satisfy their educational objectives and take advantage of new opportunities for cost savings, flexibility, and always-available service among others. As public schools in the United States rapidly adopt cloud-computing services, and consequently transfer increasing quantities of student information to third-party providers, privacy issues become more salient and contentious. The protection of student privacy in the context of cloud computing is generally unknown both to the public and to policy-makers. This study …

Using Mapreduce Streaming For Distributed Life Simulation On The Cloud, Atanas Radenski

Mathematics, Physics, and Computer Science Faculty Books and Book Chapters

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable …

Shared Memory, Message Passing, And Hybrid Merge Sorts For Standalone And Clustered Smps, Atanas Radenski

Mathematics, Physics, and Computer Science Faculty Books and Book Chapters

While merge sort is well-understood in parallel algorithms theory, relatively little is known of how to implement parallel merge sort with mainstream parallel programming platforms, such as OpenMP and MPI, and run it on mainstream SMP-based systems, such as multi-core computers and multi-core clusters. This is misfortunate because merge sort is not only a fast and stable sort algorithm, but it is also an easy to understand and popular representative of the rich class of divide-and-conquer methods; hence better understanding of merge sort parallelization can contribute to better understanding of divide-and-conquer parallelization in general. In this paper, we investigate three …