An Action Plan for Economic Prosperity in the Potomac Highlands Region of West Virginia

In this final report, we summarize our findings and provide a Strategic Action Plan for the Potomac Highlands region. First, we assess the previous strategic plans covering the region, followed by an analysis of interviews the project team conducted with dozens of employers and other leaders in the community. Lastly, we make our recommendations to enhance the Potomac Highlands region’s economic prosperity

Strategic planning, ‘city deals’ and affordable housing

This study examines how local and international funding interventions focussed on specific regions, such as City Deals, deliver affordable rental housing for low income households to enhance urban productivity. Such strategic policy interventions offer some promise in creating new economic opportunities, however explicit policies are needed to ensure low income households can access affordable housing close to employment opportunities

Knowledge Transfer Needs and Methods

INE/AUTC 12.3

Towards Socially Integrative Cities

This book is based on the results of the TRANSURBAN-EU-CHINA project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 770141. The material presented in this book reflects only the authors' views. It does not reflect the official opinion of the European Commission. The TRANS-URBAN-EU-CHINA project or the European Commission are not liable for the contents of the chapters or any use that may be made of the information contained therein. About The book Towards Socially Integrative Cities deals with the transition towards urban sustainability through socially integrative cities in Europe and China. It shares the impactful original research results of an EU-funded R&I project involving eight European and six Chinese partners (TRANS-URBAN-EU-CHINA; see www.transurbaneuchina.eu). Three each of the six editors come from European and Chinese universities and research institutions. The first articles (No. 1–4) provide an overview and insights into the conceptual basis of the book. The socially integrative city is framed by discussions in academia and practice, and it is defined in a comprehensive way as an element of urban sustainability. Sustainability transitions in China are linked to international discussions and the challenges are articulated. Moreover, the discussions touch on the strengths and weaknesses related to managing urban growth and the rapid expansion of cities. Land development tools are discussed with regard to the opportunities they offer for creating socially integrative cities. A second set of articles (No. 5–9) focus on socially integrative urban regeneration of cities. After an overview of policies and strategies in Europe and China, detailed aspects are discussed, such as community building through public engagement, challenges of place-making, and the role of education and life-long learning. Finally, a manuscript on heritage preservation and its impact on social integration in urban regeneration concludes this section. A third set of articles (No. 10–13) look into issues of the transformation of cities and sustainability transitions. Transformation is understood as a complex set of interactions. The development of tools, such as community platforms for information and dialogue transfer, are discussed as an instrument to facilitate transition processes. The transformative capacity of cities in Europe and China is discussed in an article that looks into possibilities to narrow the gaps between urban planning and development. Smart and eco-cities in Europe and China are taken as an empirical base. Advanced methods, such as the Social Cost–Benefit Analysis, may support social integration. Finally, an example of how the use of multiple data sources can speed up the digital transition in cities and provide decision support for social integration is presented. The final set of articles (No. 14 and 15) deal with questions of replicability of experiences and the role of concrete urban experiments in so-called Urban Living Laboratories. Methods to explore the replication potential of urban solutions for socially integrative cities are discussed. Finally, the potential of urban living laboratories for nurturing open urban innovation in Chinese cities is scrutinized. Several examples are discussed, and conclusions regarding the enhancement of social integration in cities are drawn. The book is edited by Bernhard Müller (Technische Universität Dresden, TUD), Baojun Yang (China Academy of Urban Planning and Design, CAUPD), Liu Jian (Tsinghua University), Jianming Cai (China Academy of Sciences, CAS), Paulina Schiappacasse (TUD) and Hans-Martin Neumann (Austrian Institute of Technology, AIT)

On Improving Efficiency of Data-Intensive Applications in Geo-Distributed Environments

Distributed systems are pervasively demanded and adopted in nowadays for processing data-intensive workloads since they greatly accelerate large-scale data processing with scalable parallelism and improved data locality. Traditional distributed systems initially targeted computing clusters but have since evolved to data centers with multiple clusters. These systems are mostly built on top of homogeneous, tightly integrated resources connected in high-speed local-area networks (LANs), and typically require data to be ingested to a central data center for processing. Today, with enormous volumes of data continuously generated from geographically distributed locations, direct adoption of such systems is prohibitively inefficient due to the limited system scalability and high cost for centralizing the geo-distributed data over the wide-area networks (WANs). More commonly, it becomes a trend to build geo-distributed systems wherein data processing jobs are performed on top of geo-distributed, heterogeneous resources in proximity to the data at vastly distributed geo-locations. However, critical challenges and mechanisms for efficient execution of data-intensive applications in such geo-distributed environments are unclear by far. The goal of this dissertation is to identify such challenges and mechanisms, by extensively using the research principles and methodology of conventional distributed systems to investigate the geo-distributed environment, and by developing new techniques to tackle these challenges and run data-intensive applications with efficiency at scale. The contributions of this dissertation are threefold. Firstly, the dissertation shows that the high level of resource heterogeneity exhibited in the geo-distributed environment undermines the scalability of geo-distributed systems. Virtualization-based resource abstraction mechanisms have been introduced to abstract the hardware, network, and OS resources throughout the system, to mitigate the underlying resource heterogeneity and enhance the system scalability. Secondly, the dissertation reveals the overwhelming performance and monetary cost incurred by indulgent data sharing over the WANs in geo-distributed systems. Network optimization approaches, including linear- programming-based global optimization, greedy bin-packing heuristics, and TCP enhancement, are developed to optimize the network resource utilization and circumvent unnecessary expenses imposed on data sharing in WANs. Lastly, the dissertation highlights the importance of data locality for data-intensive applications running in the geo-distributed environment. Novel data caching and locality-aware scheduling techniques are devised to improve the data locality.Doctor of Philosoph

A new approach to reversible computing with applications to speculative parallel simulation

In this thesis, we propose an innovative approach to reversible computing that shifts the focus from the operations to the memory outcome of a generic program. This choice allows us to overcome some typical challenges of "plain" reversible computing. Our methodology is to instrument a generic application with the help of an instrumentation tool, namely Hijacker, which we have redesigned and developed for the purpose. Through compile-time instrumentation, we enhance the program's code to keep track of the memory trace it produces until the end. Regardless of the complexity behind the generation of each computational step of the program, we can build inverse machine instructions just by inspecting the instruction that is attempting to write some value to memory. Therefore from this information, we craft an ad-hoc instruction that conveys this old value and the knowledge of where to replace it. This instruction will become part of a more comprehensive structure, namely the reverse window. Through this structure, we have sufficient information to cancel all the updates done by the generic program during its execution. In this writing, we will discuss the structure of the reverse window, as the building block for the whole reversing framework we designed and finally realized. Albeit we settle our solution in the specific context of the parallel discrete event simulation (PDES) adopting the Time Warp synchronization protocol, this framework paves the way for further general-purpose development and employment. We also present two additional innovative contributions coming from our innovative reversibility approach, both of them still embrace traditional state saving-based rollback strategy. The first contribution aims to harness the advantages of both the possible approaches. We implement the rollback operation combining state saving together with our reversible support through a mathematical model. This model enables the system to choose in autonomicity the best rollback strategy, by the mutable runtime dynamics of programs. The second contribution explores an orthogonal direction, still related to reversible computing aspects. In particular, we will address the problem of reversing shared libraries. Indeed, leading from their nature, shared objects are visible to the whole system and so does every possible external modification of their code. As a consequence, it is not possible to instrument them without affecting other unaware applications. We propose a different method to deal with the instrumentation of shared objects. All our innovative proposals have been assessed using the last generation of the open source ROOT-Sim PDES platform, where we integrated our solutions. ROOT-Sim is a C-based package implementing a general purpose simulation environment based on the Time Warp synchronization protocol

Stemming the Tide

Climate change has become one of the most significant and fastest growing threats to cultural heritage around the globe. Yet cultural heritage sites and collections also serve as invaluable sources of resilience for communities to address climate change. In March 2020, the Smithsonian American Art Museum and the Smithsonian’s National Collections Program convened the symposium “Stemming the Tide: Global Strategies for Sustaining Cultural Heritage through Climate Change” to empower cultural heritage authorities, managers, and advocates to pursue more ambitious engagement and collaborative approaches to climate change. Speakers explored six categories of cultural heritage identified by the International Council on Monuments and Sites (ICOMOS): Cultural Landscapes and Historic Urban Landscapes, Archaeological Sites, Built Heritage (Buildings and Structures), Cultural Communities, Intangible Cultural Heritage, and Museums and Collections.Publishe

Hit and Bandwidth Optimal Caching for Wireless Data Access Networks

For many data access applications, the availability of the most updated information is a fundamental and rigid requirement. In spite of many technological improvements, in wireless networks, wireless channels (or bandwidth) are the most scarce resources and hence are expensive. Data access from remote sites heavily depends on these expensive resources. Due to affordable smart mobile devices and tremendous popularity of various Internet-based services, demand for data from these mobile devices are growing very fast. In many cases, it is becoming impossible for the wireless data service providers to satisfy the demand for data using the current network infrastructures. An efficient caching scheme at the client side can soothe the problem by reducing the amount of data transferred over the wireless channels. However, an update event makes the associated cached data objects obsolete and useless for the applications. Frequencies of data update, as well as data access play essential roles in cache access and replacement policies. Intuitively, frequently accessed and infrequently updated objects should be given higher preference while preserving in the cache. However, modeling this intuition is challenging, particularly in a network environment where updates are injected by both the server and the clients, distributed all over networks. In this thesis, we strive to make three inter-related contributions. Firstly, we propose two enhanced cache access policies. The access policies ensure strong consistency of the cached data objects through proactive or reactive interactions with the data server. At the same time, these policies collect information about access and update frequencies of hosted objects to facilitate efficient deployment of the cache replacement policy. Secondly, we design a replacement policy which plays the decision maker role when there is a new object to accommodate in a fully occupied cache. The statistical information collected by the access policies enables the decision making process. This process is modeled around the idea of preserving frequently accessed but less frequently updated objects in the cache. Thirdly, we analytically show that a cache management scheme with the proposed replacement policy bundled with any of the cache access policies guarantees optimum amount of data transmission by increasing the number of effective hits in the cache system. Results from both analysis and our extensive simulations demonstrate that the proposed policies outperform the popular Least Frequently Used (LFU) policy in terms of both effective hits and bandwidth consumption. Moreover, our flexible system model makes the proposed policies equally applicable to applications for the existing 3G, as well as upcoming LTE, LTE Advanced and WiMAX wireless data access networks

Greater Portland Tomorrow: Choices for Sustained Prosperity

Greater Portland Tomorrow: Choices for Sustained Prosperity is an action plan developed with Maine Economic Improvement Fund (MEIF) support in response to the questions, what are the critical challenges facing the region for sustainable prosperity, and how may these best be addressed by USM and other important regional actors? The report provides analysis and recommendations in the areas of workforce development, quality of place, regional infrastructure, government fragmentation, and public communication

Benchmarking Hadoop performance on different distributed storage systems

Distributed storage systems have been in place for years, and have undergone significant changes in architecture to ensure reliable storage of data in a cost-effective manner. With the demand for data increasing, there has been a shift from disk-centric to memory-centric computing - the focus is on saving data in memory rather than on the disk. The primary motivation for this is the increased speed of data processing. This could, however, mean a change in the approach to providing the necessary fault-tolerance - instead of data replication, other techniques may be considered. One example of an in-memory distributed storage system is Tachyon. Instead of replicating data files in memory, Tachyon provides fault-tolerance by maintaining a record of the operations needed to generate the data files. These operations are replayed if the files are lost. This approach is termed lineage. Tachyon is already deployed by many well-known companies. This thesis work compares the storage performance of Tachyon with that of the on-disk storage systems HDFS and Ceph. After studying the architectures of well-known distributed storage systems, the major contribution of the work is to integrate Tachyon with Ceph as an underlayer storage system, and understand how this affects its performance, and how to tune Tachyon to extract maximum performance out of it