180 research outputs found
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UC Berkeley's Cory Hall: Evaluation of Challenges and Potential Applications of Building-to-Grid Implementation
From September 2009 through June 2010, a team of researchers developed, installed, and tested instrumentation on the energy flows in Cory Hall on the UC Berkeley campus to create a Building-to-Grid testbed. The UC Berkeley team was headed by Professor David Culler, and assisted by members from EnerNex, Lawrence Berkeley National Laboratory, California State University Sacramento, and the California Institute for Energy & Environment. While the Berkeley team mapped the load tree of the building, EnerNex researched types of meters, submeters, monitors, and sensors to be used (Task 1). Next the UC Berkeley team analyzed building needs and designed the network of metering components and data storage/visualization software (Task 2). After meeting with vendors in January, the UCB team procured and installed the components starting in late March (Task 3). Next, the UCB team tested and demonstrated the system (Task 4). Meanwhile, the CSUS team documented the methodology and steps necessary to implement a testbed (Task 5) and Harold Galicer developed a roadmap for the CSUS Smart Grid Center with results from the testbed (Task 5a) and evaluated the Cory Hall implementation process (Task 5b). The CSUS team also worked with local utilities to develop an approach to the energy information communication link between buildings and the utility (Task 6). The UC Berkeley team then prepared a roadmap to outline necessary technology development for Building-to-Grid, and presented the results of the project in early July (Task 7). Finally, CIEE evaluated the implementation, noting challenges and potential applications of Building-to-Grid (Task 8). These deliverables are available at the i4Energy site: http://i4energy.org/
PEP4Django - A Policy Enforcement Point for Python Web Applications
Traditionally, access control mechanisms have been hard-coded into
application components. Such approach is error-prone, mixing business logic with access control concerns, and affecting the flexibility of security policies, as is the case with IFRN SUAP Django-based system. The externalization of access control rules allows their decoupling from business logic, through the use of authorization servers where access control policies are stored and queried for computing access decisions. In this context, this paper presents an approach that allows a Django Web application to delegate access control decisions to an external authorization server. The approach has been integrated into an enterprise level system, which has been used for experimentation. The results obtained indicate a negligible overhead, while allowing the modification of access control policies without interrupting the system
Learning from Physics Education Research: Lessons for Economics Education
We believe that economists have much to learn from educational research
practices and related pedagogical innovations in other disciplines, in
particular physics education. In this paper we identify three key features of
physics education research that distinguish it from economics education
research - (1) the intentional grounding of physics education research in
learning science principles, (2) a shared conceptual research framework focused
on how students learn physics concepts, and (3) a cumulative process of
knowledge-building in the discipline - and describe their influence on new
teaching pedagogies, instructional activities, and curricular design in physics
education. In addition, we highlight four specific examples of successful
pedagogical innovations drawn from physics education - context-rich problems,
concept tests, just-in-time teaching, and interactive lecture demonstrations -
and illustrate how these practices can be adapted for economic education.Comment: 19 pages, 3 figures, submitted to Journal of Economic Education, also
available from Social Science Research Network
<http://ssrn.com/abstract=1151430
Challenges for the comprehensive management of cloud services in a PaaS framework
The 4CaaSt project aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of Cloud-based services and applications. The major innovations proposed by 4CaaSt are the blueprint and its lifecycle management, a one stop shop for Cloud services and a PaaS level resource management featuring elasticity. 4CaaSt also provides a portfolio of ready to use Cloud native services and Cloud-aware immigrant technologies
CaosDB - Research Data Management for Complex, Changing, and Automated Research Workflows
Here we present CaosDB, a Research Data Management System (RDMS) designed to
ensure seamless integration of inhomogeneous data sources and repositories of
legacy data. Its primary purpose is the management of data from biomedical
sciences, both from simulations and experiments during the complete research
data lifecycle. An RDMS for this domain faces particular challenges: Research
data arise in huge amounts, from a wide variety of sources, and traverse a
highly branched path of further processing. To be accepted by its users, an
RDMS must be built around workflows of the scientists and practices and thus
support changes in workflow and data structure. Nevertheless it should
encourage and support the development and observation of standards and
furthermore facilitate the automation of data acquisition and processing with
specialized software. The storage data model of an RDMS must reflect these
complexities with appropriate semantics and ontologies while offering simple
methods for finding, retrieving, and understanding relevant data. We show how
CaosDB responds to these challenges and give an overview of the CaosDB Server,
its data model and its easy-to-learn CaosDB Query Language. We briefly discuss
the status of the implementation, how we currently use CaosDB, and how we plan
to use and extend it
Learning from physics education research: Lessons for economics education
We believe that economists have much to learn from educational research practices and related pedagogical innovations in other disciplines, in particular physics education. In this paper we identify three key features of physics education research that distinguish it from economics education research - (1) the intentional grounding of physics education research in learning science principles, (2) a shared conceptual research framework focused on how students learn physics concepts, and (3) a cumulative process of knowledge-building in the discipline - and describe their influence on new teaching pedagogies, instructional activities, and curricular design in physics education. In addition, we highlight four specific examples of successful pedagogical innovations drawn from physics education - context-rich problems, concept tests, just-in-time teaching, and interactive lecture demonstrations - and illustrate how these practices can be adapted for economic education.economic education; physics education research (PER); research-based teaching; preconceptions; metacognition; transfer; context-rich problems; peer instruction; just-in-time teaching; interactive lecture demonstration
Migrating to Cloud-Native Architectures Using Microservices: An Experience Report
Migration to the cloud has been a popular topic in industry and academia in
recent years. Despite many benefits that the cloud presents, such as high
availability and scalability, most of the on-premise application architectures
are not ready to fully exploit the benefits of this environment, and adapting
them to this environment is a non-trivial task. Microservices have appeared
recently as novel architectural styles that are native to the cloud. These
cloud-native architectures can facilitate migrating on-premise architectures to
fully benefit from the cloud environments because non-functional attributes,
like scalability, are inherent in this style. The existing approaches on cloud
migration does not mostly consider cloud-native architectures as their
first-class citizens. As a result, the final product may not meet its primary
drivers for migration. In this paper, we intend to report our experience and
lessons learned in an ongoing project on migrating a monolithic on-premise
software architecture to microservices. We concluded that microservices is not
a one-fit-all solution as it introduces new complexities to the system, and
many factors, such as distribution complexities, should be considered before
adopting this style. However, if adopted in a context that needs high
flexibility in terms of scalability and availability, it can deliver its
promised benefits
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