A DATA AWARE APPROACH TO SALVAGE THE ENDURANCE OF PHASE-CHANGE MEMORY

Phase Change Memory (PCM) is an emerging non-volatile memory technology that could either replace or augment DRAM and NAND flash that are hindered by scalability challenges. PCM suffers from a limited endurance problem that needs to be alleviated before it can be endorsed into the memory stack. This thesis is based on the observation that the endurance problem and its ramification depend on the write data. Accordingly, a data-aware approach is applied to salvage the endurance of PCM at three different stages: pre-write fault avoidance, post-write fault tolerance and post-failure recovery. The pre-write fault avoidance stage aims at reducing the endurance cost of servicing write requests. To this end, Cost Aware Flip Optimization (CAFO) is presented as an efficient technique to lessen the endurance degradation. Essentially, CAFO relies on a cost model that captures the endurance cost of programming memory cells based on their already stored values. Subsequently,the write data is encoded into a form that incurs a lower endurance cost than the original write data. Overall, CAFO is capable of reducing the endurance cost by up to 65% more than the existing schemes. Worn out PCM cells exhibit a stuck-at fault model which makes the manifestation of errors dependent on the values that cells are stuck at. When a write fails, the data is rewritten inverted. This dissertation shows that applying data inversion at the post-write fault tolerance stage exploits the data dependent nature of errors which enables ECCs to tolerate faults up to double their nominal capability. Furthermore, extensions to RDIS which is an ECC designed specifically for the stuck-at fault model are presented. At the post-failure recovery stage, Data Dependent Sparing is presented to manage bad blocks in PCM. Departing from the observation that defective blocks in the context of the stuck-at fault model still exhibit a low write failure probability due to the data dependent nature of errors, this thesis takes the approach of reusing blocks that are defective yet better-than-bad through a dynamic management of the reserve spare space. Data Dependent Sparing is capable of increasing the lifetime of PCM by up to 18%

Automatic programming methodologies for electronic hardware fault monitoring

This paper presents three variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of electronic circuits can be best performed by the Stressor - susceptibility interaction model. A circuit or a system is considered to be failed once the stressor has exceeded the susceptibility limits. For on-line prediction, validated stressor vectors may be obtained by direct measurements or sensors, which after pre-processing and standardization are fed into the GP models. Empirical results are compared with artificial neural networks trained using backpropagation algorithm and classification and regression trees. The performance of the proposed method is evaluated by comparing the experiment results with the actual failure model values. The developed model reveals that GP could play an important role for future fault monitoring systems.This research was supported by the International Joint Research Grant of the IITA (Institute of Information Technology Assessment) foreign professor invitation program of the MIC (Ministry of Information and Communication), Korea

From Forced Revolution to Failed Transition: the Nightmarish Agency of Revolutionary Neo-Liberalism in Iraq

Este artículo explora los esfuerzos realizados para fomentar el mercado y aplicar técnicas de ingeniería constitucional como medios para el cambio liberal en el Irak de posguerra. Al identificar los intereses, tácticas de coerción e ideas previamente asumidas acerca del entorno político en el que se han aplicado estos proyectos, se identifica su culpabilidad en la generación de la situación actual. El articulo profundiza además en como las narrativas contemporáneas de la transición global y de su carácter novedoso articularon una visión del régimen iraquí como fuente de esfuerzos de transformación. Sugiero que esta visión, y los proyectos de revolución y transición forzadas que se basaron en ella, era más atractiva por su lógica interna que por una apreciación realista de la situación en Irak. En ultima instancia, los resultados de los proyectos de neoliberalismo revolucionario y transición en Irak requerirán que hagamos algo mas que señalar los fallos de EE.UU. al implementarlos o las carencias culturales de los iraquíes; estos deberían hacernos considerar las limitaciones de fomentar el mercado y la metodología de transición como técnicas para comprender y actuar sobre el mundo político

Urban Biodiversity and Landscape Ecology: Patterns, Processes and Planning

Effective planning for biodiversity in cities and towns is increasingly important as urban areas and their human populations grow, both to achieve conservation goals and because ecological communities support services on which humans depend. Landscape ecology provides important frameworks for understanding and conserving urban biodiversity both within cities and considering whole cities in their regional context, and has played an important role in the development of a substantial and expanding body of knowledge about urban landscapes and communities. Characteristics of the whole city including size, overall amount of green space, age and regional context are important considerations for understanding and planning for biotic assemblages at the scale of entire cities, but have received relatively little research attention. Studies of biodiversity within cities are more abundant and show that longstanding principles regarding how patch size, configuration and composition influence biodiversity apply to urban areas as they do in other habitats. However, the fine spatial scales at which urban areas are fragmented and the altered temporal dynamics compared to non-urban areas indicate a need to apply hierarchical multi-scalar landscape ecology models to urban environments. Transferring results from landscape-scale urban biodiversity research into planning remains challenging, not least because of the requirements for urban green space to provide multiple functions. An increasing array of tools is available to meet this challenge and increasingly requires ecologists to work with planners to address biodiversity challenges. Biodiversity conservation and enhancement is just one strand in urban planning, but is increasingly important in a rapidly urbanising world

An experimental evaluation of software redundancy as a strategy for improving reliability

The strategy of using multiple versions of independently developed software as a means to tolerate residual software design faults is suggested by the success of hardware redundancy for tolerating hardware failures. Although, as generally accepted, the independence of hardware failures resulting from physical wearout can lead to substantial increases in reliability for redundant hardware structures, a similar conclusion is not immediate for software. The degree to which design faults are manifested as independent failures determines the effectiveness of redundancy as a method for improving software reliability. Interest in multi-version software centers on whether it provides an adequate measure of increased reliability to warrant its use in critical applications. The effectiveness of multi-version software is studied by comparing estimates of the failure probabilities of these systems with the failure probabilities of single versions. The estimates are obtained under a model of dependent failures and compared with estimates obtained when failures are assumed to be independent. The experimental results are based on twenty versions of an aerospace application developed and certified by sixty programmers from four universities. Descriptions of the application, development and certification processes, and operational evaluation are given together with an analysis of the twenty versions

Genetic and Pharmacologic Studies Towards Prevention of opioid use disorder

Endogenous opioids mediate both analgesic and affective responses to stress. While the mu opioid receptor (MOR) produces the reinforcing euphoric effects responsible for the high abuse potential of traditional opioid analgesics, the kappa opioid receptor (KOR) is hypothesized to mediate the dysphoric component of stress. With increasing rates of opioid addiction, extensive research efforts are focused on better understanding each of these systems and how they interact, with the goal of developing less addictive pain management strategies and better approaches to addiction treatment. With this in mind, we conducted both clinical and pre-clinical studies aimed at developing better treatment strategies for opioid use and the management of patients with opioid use disorder (OUD). First, we assessed a local cohort of patients with (OUD) for a collection of single nucleotide polymorphisms (SNPs) related to reward processing, with the goal of furthering efforts to develop a gene-based screening mechanism for OUD risk assessment. Second, we conducted preclinical assessments of the G protein-biased KOR agonist nalfurafine as a potential adjuvant medication for increasing the therapeutic efficacy of opioid-based analgesia. Genetic analysis of OUD patients identified two SNPs within the gene encoding the mu opioid receptor, one SNP within the gene encoding the serotonin 2B (5-HT2B) receptor, and one SNP within the gene encoding Regulator of G protein Signaling 2 (RGS2), with the frequency of each SNP varying significantly from that observed in reference populations of European descent. Preclinical investigations with nalfurafine use in mice demonstrated a greater analgesic synergy when co-administered with morphine than morphine co-administered with the unbiased KOR agonist U50,488. As G protein-biased KOR agonists are hypothesized to produce less dysphoria (a therapeutically limiting side effect of KOR agonists), they may present a viable method for reducing the dose of MOR-targeting analgesic necessary for adequate pain relief, thereby reducing the likelihood of developing OUD. Further research is necessary to identify any anti-therapeutic effects of co-administering these two classes of drugs, as well as the range of pain modalities for which this approach is efficacious

The deep space network

The objectives, functions, and organization of the Deep Space Network are summarized along with deep space station, ground communication, and network operations control capabilities. Mission support of ongoing planetary/interplanetary flight projects is discussed with emphasis on Viking orbiter radio frequency compatibility tests, the Pioneer Venus orbiter mission, and Helios-1 mission status and operations. Progress is also reported in tracking and data acquisition research and technology, network engineering, hardware and software implementation, and operations

High Availability and Scalability of Mainframe Environments using System z and z/OS as example

Mainframe computers are the backbone of industrial and commercial computing, hosting the most relevant and critical data of businesses. One of the most important mainframe environments is IBM System z with the operating system z/OS. This book introduces mainframe technology of System z and z/OS with respect to high availability and scalability. It highlights their presence on different levels within the hardware and software stack to satisfy the needs for large IT organizations