Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach.

Large-scale analysis of EEG and other physiological measures promises new insights into brain processes and more accurate and robust brain-computer interface models. However, the absence of standardized vocabularies for annotating events in a machine understandable manner, the welter of collection-specific data organizations, the difficulty in moving data across processing platforms, and the unavailability of agreed-upon standards for preprocessing have prevented large-scale analyses of EEG. Here we describe a "containerized" approach and freely available tools we have developed to facilitate the process of annotating, packaging, and preprocessing EEG data collections to enable data sharing, archiving, large-scale machine learning/data mining and (meta-)analysis. The EEG Study Schema (ESS) comprises three data "Levels," each with its own XML-document schema and file/folder convention, plus a standardized (PREP) pipeline to move raw (Data Level 1) data to a basic preprocessed state (Data Level 2) suitable for application of a large class of EEG analysis methods. Researchers can ship a study as a single unit and operate on its data using a standardized interface. ESS does not require a central database and provides all the metadata data necessary to execute a wide variety of EEG processing pipelines. The primary focus of ESS is automated in-depth analysis and meta-analysis EEG studies. However, ESS can also encapsulate meta-information for the other modalities such as eye tracking, that are increasingly used in both laboratory and real-world neuroimaging. ESS schema and tools are freely available at www.eegstudy.org and a central catalog of over 850 GB of existing data in ESS format is available at studycatalog.org. These tools and resources are part of a larger effort to enable data sharing at sufficient scale for researchers to engage in truly large-scale EEG analysis and data mining (BigEEG.org)

Weathering the storm : investing in port infrastructure to lower trade costs in East Asia

The world economic crisis of 2008 presents clear challenges to prospects for economic growth in developing countries. This is particularly true for emerging economies in East Asia that have relied to a great extent over the past decade on export-led growth. What steps to facilitate trade promise a relatively strong return on investment for East Asia to help sustain trade and growth? The authors examine how port infrastructure affects trade and the role of transport costs in driving exports and imports for the region. They find that port congestion has significantly increased the transport costs to East Asia from both of the United States and Japan. The analysis suggests that cutting port congestion by 10 percent could cut transport costs in East Asia by up to 3 percent. This translates into a 0.3 to 0.5 percent across-the-board tariff cut. In addition, the estimates suggest that the trade cost reduction of investment in port infrastructure in East Asia that translates into higher consumer welfare would far outweigh the cost for physical expansion of the ports in the region.Transport Economics Policy&Planning,Common Carriers Industry,Transport and Trade Logistics,Economic Theory&Research,Ports&Waterways

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

Evaluation of Docker Containers for Scientific Workloads in the Cloud

The HPC community is actively researching and evaluating tools to support execution of scientific applications in cloud-based environments. Among the various technologies, containers have recently gained importance as they have significantly better performance compared to full-scale virtualization, support for microservices and DevOps, and work seamlessly with workflow and orchestration tools. Docker is currently the leader in containerization technology because it offers low overhead, flexibility, portability of applications, and reproducibility. Singularity is another container solution that is of interest as it is designed specifically for scientific applications. It is important to conduct performance and feature analysis of the container technologies to understand their applicability for each application and target execution environment. This paper presents a (1) performance evaluation of Docker and Singularity on bare metal nodes in the Chameleon cloud (2) mechanism by which Docker containers can be mapped with InfiniBand hardware with RDMA communication and (3) analysis of mapping elements of parallel workloads to the containers for optimal resource management with container-ready orchestration tools. Our experiments are targeted toward application developers so that they can make informed decisions on choosing the container technologies and approaches that are suitable for their HPC workloads on cloud infrastructure. Our performance analysis shows that scientific workloads for both Docker and Singularity based containers can achieve near-native performance. Singularity is designed specifically for HPC workloads. However, Docker still has advantages over Singularity for use in clouds as it provides overlay networking and an intuitive way to run MPI applications with one container per rank for fine-grained resources allocation

Classification of Existing Virtualization Methods Used in Telecommunication Networks

This article studies the existing methods of virtualization of different resources. The positive and negative aspects of each of the methods are analyzed, the perspectivity of the approach is noted. It is also made an attempt to classify virtualization methods according to the application domain, which allows us to discover the method weaknesses which are needed to be optimized.Comment: 4 pages, 3 figure

India - India's growing conflict between trade and transport : issues and options

India was a rather marginal participant in world trade during the early years after independence. Since 1980, however, the structure and orientation of Indian export trades have undergone fundamental changes. Substantial progress has been made in diversifying the export base - manufactured goods have increased and the traditional bulk sector has shrunk. Key targets for the export of manufactured goods are the European, Japanese and North American markets. However, these markets are characterized by increasingly efficient trade logistics, including containerization and multimodal transport arrangements. To enable further trade growth, India is confronted with a need to tie into the highly organized international trade logistics networks, something the country is totally unprepared to cope with in terms of demanding logistical arrangements. There is a real danger that India's trade performance will deteriorate, if no corrective measures are taken. A highly fragmented service industry, outdated regulations, heavy Government control, a constrained private sector, and largely inadequate infrastructure have curtailed efforts to improve trade logistics, including containerization and multimodal transport arrangements in India. Major reforms are called for so that an effective framework for initiating urgently required system adjustments can be established.Environmental Economics&Policies,Economic Theory&Research,TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT,Transport and Trade Logistics,Common Carriers Industry