Cloud Computing and Big Data – What’s the Big Deal?
Information Technology Track
At one level, cloud computing is just Internet enabled time sharing. Instead of Information Technology (IT) organizations investing in all of the hardware, software and infrastructure necessary to meet their business needs, cloud computing makes access to them available through the Internet. On the one hand, cloud computing allows an organization to adopt a different economic model for meeting IT needs by reducing capital investments and increasing operational investments. On the other hand, cloud computing enables the capture, storage, sharing, analysis and visualization of huge amounts of data in multiple formats from multiple media type: Big Data analysis.
In March of 2012, the Obama administration launched an initiative focused on Big Data Research and Development. Under this initiative the Department of Defense (DOD) will invest $250 million annually in projects focused decision support, creating autonomous capability, and improving human machine interfaces for operations and training. Big data is used to describe several phenomena enabled by cloud computing. Big data may refer to data sets characterized by extremes in volume, velocity or variety. Big data is also a term used to describe the type of analytics that can be accomplished on these data sets that go to extremes to support businesses in data driven decision making.
This paper briefly introduces the concepts and implications of cloud computing. Examples of uses of cloud computing will be presented for both industry and Aerospace and Defense. Following this, the notion of Big Data and it’s relation to cloud computing is introduced and examples of its uses and/or potential uses in the Aerospace and Defense industry will be presented. Big Data offers a potential for solutions to societal challenges and problems that have heretofore been too complex for typical computing solutions to address. This paper discusses the ways that cloud computing and Big Data can converge to change many of the ways we do business.
Arlene F Minkiewicz
MsMinkiewicz is a software measurement expert dedicated to finding creative solutions focused on making software development professionals successful. She has over 27 years in the software industry researching all aspects of the software development process and providing thought leadership to the software community. MsMinkiewicz is the Chief Scientist at PRICE Systems, LLC. In this role, she leads the cost research activity for the entire suite of cost estimating products that PRICE provides. Ms. Minkiewicz has more than 27 years of experience with PRICE building cost models. She was awarded the Freiman Award for Lifetime Contributions to Parametric estimating in 2012.
MsMinkiewicz has an MS in Computer Science from Drexel University and a BS in Electrical Engineering from Lehigh University. She has published many articles on software measurement and estimation in Software Development, Crosstalk, and the Journal of Software Technology and has been a contributing author for several books including “Systems Cost Engineering” (Glower, 2010), “The Closed Loop: Implementation Guide for Activity Based Budgeting” (CAM-I, 2004) and “IT Measurement: Practical Advice from the Experts” (Addison Wesley, 2002). She frequently presents at industry conferences on many topics associated with hardware, software and systems estimation and has received numerous best paper awards for her research papers. She is a member of the International Society of Parametric Analysts (ISPA) and IEEE and has served on committees setting standards and best practices for estimation, measurement, and benchmarking with the Software Engineering Institute (SEI), Project Management Institute (PMI ) and The Consortium for Advanced Manufacturing International (CAM-I).