Human Computation and Convergence

Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

A Catalog of Reusable Design Decisions for Developing UML/MOF-based Domain-specific Modeling Languages

In model-driven development (MDD), domain-specific modeling languages (DSMLs) act as a communication vehicle for aligning the requirements of domain experts with the needs of software engineers. With the rise of the UML as a de facto standard, UML/MOF-based DSMLs are now widely used for MDD. This paper documents design decisions collected from 90 UML/MOF-based DSML projects. These recurring design decisions were gained, on the one hand, by performing a systematic literature review (SLR) on the development of UML/MOF-based DSMLs. Via the SLR, we retrieved 80 related DSML projects for review. On the other hand, we collected decisions from developing ten DSML projects by ourselves. The design decisions are presented in the form of reusable decision records, with each decision record corresponding to a decision point in DSML development processes. Furthermore, we also report on frequently observed (combinations of) decision options as well as on associations between options which may occur within a single decision point or between two decision points. This collection of decision-record documents targets decision makers in DSML development (e.g., DSML engineers, software architects, domain experts).Series: Technical Reports / Institute for Information Systems and New Medi

Big Data-Oriented PaaS Architecture with Disk-as-a-Resource Capability and Container-Based Virtualization

This is a post-peer-review, pre-copyedit version of an article published in Journal of Grid Computing. The final authenticated version is available online at: https://doi.org/10.1007/s10723-018-9460-4[Abstract] With the increasing adoption of Big Data technologies as basic tools for the ongoing Digital Transformation, there is a high demand for data-intensive applications. In order to efficiently execute such applications, it is vital that cloud providers change the way hardware infrastructure resources are managed to improve their performance. However, the increasing use of virtualization technologies to achieve an efficient usage of infrastructure resources continuously widens the gap between applications and the underlying hardware, thus decreasing resource efficiency for the end user. Moreover, this scenario is especially troublesome for Big Data applications, as storage resources are one of the most heavily virtualized, thus imposing a significant overhead for large-scale data processing. This paper proposes a novel PaaS architecture specifically oriented for Big Data where the scheduler offers disks as resources alongside the more common CPU and memory resources, looking forward to provide a better storage solution for the user. Furthermore, virtualization overheads are reduced to the bare minimum by replacing heavy hypervisor-based technologies with operating-system-level virtualization based on light software containers. This architecture has been deployed on a Big Data infrastructure at the CESGA supercomputing center, used as a testbed to compare its performance with OpenStack, a popular private cloud platform. Results have shown significant performance improvements, reducing the execution time of representative Big Data workloads by up to 4.5×.Ministerio de Economía, Industria y Competitividad; TIN2016-75845-P, AEI/FEDER, EUMinisterio de Educación; FPU15/0338

Empirical Evidence Justifying the Adoption of a Model-Based Approach in the Course Web Applications Development

With the ever-increasing role of business people in software development there is a growing need for business schools to offer courses in e-business and e-commerce applications development. This paper presents the results of a student survey evaluating the applications development skills acquired by business students exposed to two different approaches to teaching the course E-business applications development. The first group was taught using a model-based approach, while the second one was taught using a traditional code-based approach. In the model-based approach the environment model of evaluation was used to introduce the basic programming constructs. The UML Web Modeler profile and statecharts were employed to abstract from the intricacies and the distributed nature of Webbased information systems. A major constituent of this approach was the development of a system model. The underlying assumption was that adopting a model-based approach would enhance students' ability to think and reason formally about, develop rigorously, and program better E-business applications. The contention was that learners would perceive coding as yet another view in the system model. It was believed that having defined the components ' interfaces, students would be bound to experience fewer difficulties when writing the code. In the code-based approach students are exposed to Web programming without being required to develop a system model

A Socio-Technical Approach to Study Consumer-Centric Information Systems

Given the unprecedented role of digital service platforms in private life, this research sets out to identify the mechanisms that are designed into information systems with the purpose to increase consumer centricity. We evaluate the consumer centricity of an information system against three reflective indicators, that is the degree of need orientation, value co-creation and relationship orientation and conceptualize consumer centricity as the ability to align social and technical information system components. We employ a positivist, explanatory case study approach to test three hypotheses on system component alignment in cases from three domains (gaming, social networking, and video sharing). We found preliminary evidence for three alignment mechanisms that increase consumer centricity. With this research, we plan to contribute to the literature on consumer-centric information systems by elaborating and empirically grounding a socio-technical approach to study mechanisms and their joint application to increase consumer centricity in information systems