Hybrid finite difference/finite element immersed boundary method

The immersed boundary method is an approach to fluid-structure interaction that uses a Lagrangian description of the structural deformations, stresses, and forces along with an Eulerian description of the momentum, viscosity, and incompressibility of the fluid-structure system. The original immersed boundary methods described immersed elastic structures using systems of flexible fibers, and even now, most immersed boundary methods still require Lagrangian meshes that are finer than the Eulerian grid. This work introduces a coupling scheme for the immersed boundary method to link the Lagrangian and Eulerian variables that facilitates independent spatial discretizations for the structure and background grid. This approach employs a finite element discretization of the structure while retaining a finite difference scheme for the Eulerian variables. We apply this method to benchmark problems involving elastic, rigid, and actively contracting structures, including an idealized model of the left ventricle of the heart. Our tests include cases in which, for a fixed Eulerian grid spacing, coarser Lagrangian structural meshes yield discretization errors that are as much as several orders of magnitude smaller than errors obtained using finer structural meshes. The Lagrangian-Eulerian coupling approach developed in this work enables the effective use of these coarse structural meshes with the immersed boundary method. This work also contrasts two different weak forms of the equations, one of which is demonstrated to be more effective for the coarse structural discretizations facilitated by our coupling approach

A canonical software process family based on the Unified Process

The Unified Process (UP) is a processes framework widely known and used by the software industry and academic community. UP was developed under the conception of a universal application, but even a single process is not appropriate to address all development projects since optimal process depends on the particularities of each project or organization. Frequently, many process components need to be adapted to the organization or project needs, a complex task because the experience and knowledge required. Perform adaptation in an inappropriate way is prone to error due to the difficulties for taking tailoring decisions. The paper goal is proposing a canonical software processes family based on the Unified Process to support software process tailoring. Our methodology was based on the meta-process CASPER to build a software process family and we use the Case Study method as a strategy for validating the canonical process family empirically. As a result, we show a canonical software processes family, which will serve as a platform for determining a process family based on Unified process in a small software organization. This canonical family has the advantage that uses a tailoring mechanism following a transformation strategy that encapsulates tailoring decisions in order to systematize this activity. In this work, we show the initial results in the applicability of a canonical software process family as base in the building the software process families based on UP in the small companies context, and also we conclude that the UP is a process framework with spread spectrum, which limited its formulation like a general software process family, due to that a process family requires determining carefully the application domain known as software process family scop

Business process management tools as a measure of customer-centric maturity

In application of business process management (BPM) tools in European commercial sectors, this paper examines current maturity of customer centricity construct (CC) as an emerging dimension of competition and as a potential strategic management direction for the future of business. Processes are one of the key components of transformation in the CC roadmap. Particular departments are more customer orientated than others, and processes, customer-centric expertise, and approach can be built and utilized starting from them. Positive items within a current business process that only involve minor modification could be the basis for that. The evidence of movement on the customer-centric roadmap is found. BPM in European telecommunications, banking, utility and retail sector supports roadmap towards customer-centricity in process view, process alignment and process optimization. However, the movement is partial and not flawless, as BPM hasn’t been inquired for supporting many of customer-centric dimensions

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

Software Product Line Engineering: Future Research Directions

The recent trend of switching from single software product development tolines of software products in the software industry has made the software product line concept viable and widely accepted methodology in the future. Some of the potential benefits of this approach include cost reduction, improvement in quality and a decrease in product development time. Many organizations that deal in wide areas of operation, from consumer electronics, telecommunications, and avionics to information technology, are using software product lines practice because it deals with effective utilization ofsoftware assets and provides numerous benefits. Software product line engineering is an inter-disciplinary concept. It spans over the dimensions of business, architecture, process and organization. The business dimension of software product lines deals with managing a strong coordination between product line engineering and the business aspects of product line. Software product line architecture is regarded as one of the crucial piece of entity in software product lines. All the resulting products share thiscommon architecture. The organizational theories, behavior and management play critical role in the process of institutionalization of software product line engineering in an organization. The objective of this chapter is to discuss the state of the art of software product line engineering from the perspectives of business, architecture, organizational management and software engineering process. This work also highlights and discusses the future research directions in this area thus providing an opportunity to researchers and practitioners to better understand the future trends and requirements