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Academic literature on the topic 'Disaggregated'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Disaggregated"

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Clor-Proell, Shana M., D. Eric Hirst, Lisa Koonce, and Nicholas Seybert. "How Disaggregated Forecasts Influence Investor Response to Subsequent Earnings Announcements." Journal of Financial Reporting 4, no. 1 (March 2019): 157–71. http://dx.doi.org/10.2308/jfir-52362.

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Firms often issue disaggregated earnings forecasts, and prior research reveals benefits to doing so. However, we hypothesize and experimentally find that the benefits of disaggregated forecasts do not necessarily carry over to the time of actual earnings announcements. Rather, disaggregated forecasts create multiple points of possible comparison between the forecast and the subsequent earnings announcement. Thus, when firms disaggregate forecasts and subsequently release disaggregated actual earnings numbers, investors reward firms that beat those multiple benchmarks, but punish firms that miss those multiple benchmarks. Thus, we show that issuing a disaggregated earnings forecast to achieve the associated benefits can backfire after the announcement of actual earnings. Our results have implications for researchers and firm managers. Data Availability: Contact the authors.
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Autrey, Romana L., Shane S. Dikolli, and D. Paul Newman. "Performance Measure Aggregation, Career Incentives, and Explicit Incentives." Journal of Management Accounting Research 22, no. 1 (January 1, 2010): 115–31. http://dx.doi.org/10.2308/jmar.2010.22.1.115.

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ABSTRACT: We examine a setting in which managers have differential career concerns and firm performance is publicly observed using disaggregated measures that are incrementally informative but costly to contract upon. In such a setting, when do firms contract on aggregated rather than disaggregated performance measures? We show that at intermediate levels of managerial career concerns contracting on an aggregate measure can be welfare-enhancing. In this case, the net cost of both contracting directly on an aggregate measure and exploiting career incentives based on disaggregated measures is smaller than the cost of contracting directly on disaggregate measures. Our findings also imply that detailed performance disclosures will be accompanied by lower incentive weights based on aggregate performance when career incentives mitigate distortions caused by aggregation. Further, if performance measures become noisier due to transient shocks, we find that contractual incentive weights on aggregate performance can be either increasing or decreasing, depending on the magnitude of a manager’s career incentives.
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ISLAM, SHAHIDUL. "Age and Education Effects in the First Demographic Dividend of Bangladesh: A Decomposition Analysis." Bangladesh Development Studies XLII, no. 4 (March 21, 2021): 51–82. http://dx.doi.org/10.57138/jvby4225.

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The paper attempts to examine the economic effect of changing age structure in Bangladesh in the demographic dividend while being cautious of aggregation bias. One of the major contributions of this paper to the estimation of the demographic dividend literature is its use of a disaggregated dataset to produce a representative estimation of demographic dividend and compare among different education groups. The findings of the paper shed light on the debate on the sources of the first demographic dividend—whether this dividend comes from a pure age structure factor or represents an education dividend. When the economic profiles are disaggregated by levels of education, the Economic Support Ratio (ESR) decreases compared to the estimates when it only classified by ages. After estimating the first demographic dividend, the paper disaggregates the dividend into education effect and age effect using the Das Gupta decomposition technique. Results show that the size of the dividend is driven largely by age effects, while the education effect has been negative in Bangladesh for the past decades. The negative education effect indicates the aggregation bias in the estimates of support ratio if data is not disaggregated at that level.
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Vroman, Wayne, John M. Abowd, and Gary Burtless. "Disaggregated Wage Developments." Brookings Papers on Economic Activity 1988, no. 1 (1988): 313. http://dx.doi.org/10.2307/2534429.

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Beyer, Brooke D., Donald R. Herrmann, and Eric T. Rapley. "Disaggregated Capital Expenditures." Accounting Horizons 33, no. 4 (June 1, 2019): 77–93. http://dx.doi.org/10.2308/acch-52475.

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SYNOPSIS Financial analysts and accounting regulators encourage companies to disclose the disaggregation of total capital expenditures (CAPX) into the portion for sustaining current performance (maintenance CAPX [MCAPX]) and the portion for pursuing additional opportunities (growth CAPX [GCAPX]). Using a hand-collected sample of voluntary disclosures, we document that traditional estimates of disaggregated CAPX components, using currently required financial statement disclosures, are inadequate proxies for actual (disclosed) values of MCAPX and GCAPX. Specifically, we find that estimation errors for disaggregated variables are associated with future financial performance (i.e., changes in sales and earnings), suggesting that disaggregated disclosure information is potentially useful in forecasting. We also find that these estimation errors are associated with analyst forecast revisions of sales and earnings per share, consistent with analysts incorporating disaggregated CAPX information into their forecasts. Our results provide evidence that disaggregated CAPX disclosures are superior to currently required aggregate CAPX disclosure for forecasting firms' financial performance.
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Shang, Songhao. "Temporal disaggregation of time series based on accumulated and inverse accumulated generating operations and interpolation method." Grey Systems: Theory and Application 5, no. 1 (February 2, 2015): 54–61. http://dx.doi.org/10.1108/gs-11-2014-0041.

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Purpose – The purpose of this paper is to propose a new temporal disaggregation method for time series based on the accumulated and inverse accumulated generating operations in grey modeling and the interpolation method. Design/methodology/approach – This disaggregation method includes three main steps, including accumulation, interpolation, and differentiation (AID). First, a low frequency flow series is transformed to the corresponding stock series through accumulated generating operation. Then, values of the stock series at unobserved time is estimated through appropriate interpolation method. And finally, the disaggregated stock series is transformed back to high frequency flow series through inverse accumulated generating operation. Findings – The AID method is tested with a sales series. Results shows that the disaggregated sales data are satisfactory and reliable compared with the original data and disaggregated data using a time series model. The AID method is applicable to both long time series and grey series with insufficient information. Practical implications – The AID method can be easily used to disaggregate low frequency flow series. Originality/value – The AID method is a combination of grey modeling technique and interpolation method. Compared with other disaggregation methods, the AID method is simple, and does not require auxiliary information or plausible minimizing criterion required by other disaggregation methods.
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Burke, Qing L., Terry D. Warfield, and Matthew M. Wieland. "Value Relevance of Disaggregated Information: An Examination of the Rate and Volume Analysis of Bank Net Interest Income." Accounting Horizons 34, no. 1 (October 1, 2019): 19–43. http://dx.doi.org/10.2308/acch-52637.

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SYNOPSIS A potentially important form of financial information disaggregation is to segregate the change in an income measure into its underlying performance drivers. In this study, we perform a comprehensive analysis of the usefulness of such disaggregation to investors. We utilize the volume and rate analysis in banks' 10-K filings, in which banks disaggregate annual changes in net interest income into changes in the balances (“volume variance”) and changes in the rates (“rate variance”) of assets and liabilities. We document that volume and rate variances are associated with bank characteristics, including market power, funding sources, and credit risk. We find volume and rate variances are predictive of future net interest income and are positively associated with stock returns and prices, suggesting the disaggregated information is value relevant. Our study informs regulators and users by showing that disaggregated information along volume and rate dimensions has predictive and confirmatory value.
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Hawkes, Sarah, Athena Pantazis, Anna Purdie, Abhishek Gautam, Sylvia Kiwuwa-Muyingo, Kent Buse, Sonja Tanaka, Kakoli Borkotoky, Sneha Sharma, and Ravi Verma. "Sex-disaggregated data matters: tracking the impact of COVID-19 on the health of women and men." Economia Politica 39, no. 1 (January 20, 2022): 55–73. http://dx.doi.org/10.1007/s40888-021-00254-4.

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AbstractSex and gender matter to health outcomes, but despite repeated commitments to sex-disaggregate data in health policies and programmes, a persistent and substantial absence of such data remains especially in lower-income countries. This represents a missed opportunity for monitoring and identifying gender-responsive, evidence-informed solutions to address a key driver of the pandemic. In this paper we review the availability of national sex-disaggregated surveillance data on COVID-19 and examine trends on the testing-to-outcome pathway. We further analyse the availability of data according to the economic status of the country and investigate the determinants of sex differences, including the national gender inequality status (according to a global index) in each country. Results are drawn from 18 months of global data collection from over 200 countries. We find differences in COVID-19 prevention behaviours and illness outcomes by sex, with lower uptake of vaccination and testing plus an elevated risk of severe disease and death among men. Supporting and maintaining the collection, collation, interpretation and presentation of sex-disaggregated data requires commitment and resources at subnational, national and global levels, but provides an opportunity for identifying and taking gender-responsive action on health inequities. As a first step the global health community should recognise, value and support the importance of sex-disaggregated data for identifying and tackling an inequitable pandemic.
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Gifre, Lluís, Jose-Luis Izquierdo-Zaragoza, Marc Ruiz, and Luis Velasco. "Autonomic Disaggregated Multilayer Networking." Journal of Optical Communications and Networking 10, no. 5 (April 5, 2018): 482. http://dx.doi.org/10.1364/jocn.10.000482.

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Fischer, Christoph. "PPP: a disaggregated view." Applied Financial Economics 16, no. 1-2 (January 2006): 93–108. http://dx.doi.org/10.1080/09603100500389218.

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Dissertations / Theses on the topic "Disaggregated"

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Mennuni, Alessandro. "Aggregate and disaggregated fluctuations." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/192743/.

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In the usual version of the neoclassical growth model used to identify neutral (N-Shock) and investment shocks (I-Shock), a linear transformation frontier between consumption and investment goods is assumed. This paper extends the original framework, allowing for curvature in the transformation frontier, and studies how this affects the relative price of investment goods and hence the identification of investment shocks. A concave frontier allows a substantial improvement in the prediction of the saving rate. Furthermore, a concave frontier induces short-run aggregate effects of relative demand shifts, thereby fostering the propagation of the shocks under consideration, which overall account for 86% of the aggregate fluctuations. When I identify shocks with curvature, the N-shock appears to be stationary while the I-shock is a unit root. This leads the N-shock to play a major role: 91% of the fluctuations explained are due to the N- shock
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Wagner, Katherine Mott. "Optimization of Disaggregated Space Systems Using the Disaggregated Integral Systems Concept Optimization Technology Methodology." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99338.

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This research describes the development and application of the Disaggregated Integral Systems Concept Optimization Technology (DISCO-Tech) methodology. DISCO-Tech is a modular space system design tool that focuses on the optimization of disaggregated and non-traditional space systems. It uses a variable-length genetic algorithm to simultaneously optimize orbital parameters, payload parameters, and payload distribution for space systems. The solutions produced by the genetic algorithm are evaluated using cost estimation, coverage analysis, and spacecraft sizing modules. A set of validation cases are presented. DISCO-Tech is then applied to three representative space mission design problems. The first problem is the design of a resilient rideshare-manifested fire detection system. This analysis uses a novel framework for evaluating constellation resilience to threats using mixed integer linear programming. A solution is identified where revisit times of under four hours are achievable for $10.5 million, one quarter of the cost of a system manifested using dedicated launches. The second problem applies the same resilience techniques to the design of an expanded GPS monitor station network. Nine additional monitor stations are identified that allow the network to continuously monitor the GPS satellites even when five of the monitor stations are inoperable. The third problem is the design of a formation of satellites for performing sea surface height detection using interferometric synthetic aperture radar techniques. A solution is chosen that meets the performance requirements of an upcoming monolithic system at 70% of the cost of the monolithic system.
Doctor of Philosophy
Civilians, businesses, and the government all rely on space-based resources for their daily operations. For example, the signal provided by GPS satellites is used by drivers, commercial pilots, soldiers, and more. Communications satellites provide phone and internet to users in remote areas. Weather satellites provide short-term forecasting and measure climate change. Because of the importance of these and other space systems, it is necessary that they are designed in an efficient, reliable, and cost-effective manner. The Disaggregated Integral Systems Concept Optimization Technology (DISCO-Tech) is introduced as a means of designing these space systems. DISCO-Tech optimizes various aspects of the space mission, including the number of satellites needed to complete the mission, the location of the satellites, and the sensors that each satellite needs to accomplish its mission. This dissertation describes how DISCO-Tech works, then applies DISCO-Tech to several example missions. The first mission uses satellites to monitor forest fires in California. In order to reduce the cost of this mission, the satellites share launch vehicles with satellites from other, unrelated missions. Next, DISCO-Tech is used to choose the placement of new ground stations for GPS satellites. Because GPS is an important asset, this study also assesses the performance of the network of ground stations when some of the stations are inoperable. Finally, DISCO-Tech is used to design a group of satellites that measure sea level, since sea level is important for climatology research. A design is presented for a group of satellites that perform these measurements at a lower cost than a planned mission that uses a single satellite.
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Gloudemans, Colin A. "A Competitive Advantage: Disaggregated Judgments." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1625688234060059.

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Yamashiro, Guy Matsuo. "Disaggregated systems and the monetary transmission mechanism /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p3026375.

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Agnihotri, Satish Balram. "Sex ratio imbalances in India : a disaggregated analysis." Thesis, University of East Anglia, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338059.

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Anderson, Joshua David. "Disaggregated financial statement information in an unregulated environment." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100055.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 67-71).
This paper examines whether disaggregated financial statement information during the late 1920's reduced information asymmetry. After controlling for firms endogenously selecting their level of disaggregation, I find that disaggregation reduced the information asymmetry between market participants and between the firm and outside investors. Disaggregators had lower bid-ask spreads and short sellers paid lower loan fees for borrowing disaggregators' stocks. In addition, disaggregators were more likely to raise capital in the following year. These results are consistent with firms using high-quality financial reporting to reduce information asymmetry even in the absence of regulation as a bonding mechanism.
by Joshua David Anderson.
Ph. D.
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Mohammad, Ali Howraa. "Disaggregated servers for future energy efficient data centres." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/17737/.

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The popularity of the Internet and the demand for 24/7 services uptime is driving system performance and reliability requirements to levels that today’s data centres can no longer support. This thesis examines the traditional monolithic conventional server (CS) design and compares it to a new design paradigm known as disaggregated server (DS). The DS design arranges data centres resources in physical pools such as processing, memory and IO module pools; rather than packing each subset in a single server. In this work, we study energy efficient resource provisioning and virtual machine (VM) allocation in the DS based data centres compared to CS based data centres. First, we developed a mixed integer linear programming (MILP) model to optimise VM allocation for DS based data centre. Our results indicate that considering pooled resources yields up to 62% total saving in power consumption compared to the CS approach. Due to the MILP high computational complexity, we developed an energy efficient, fast and scalable resource provisioning heuristic (EERP-DS), based on the MILP insights, with comparable power efficiency to the MILP. Second, we extended the resources provisioning and VM allocation MILP to include the data centre communication fabric power consumption. The results show that the inclusion of the communication fabric still yields considerable power savings compared to the CS approach, up to 48% power saving. Third, we developed an energy efficient resource provisioning for DS with communication fabric heuristic (EERP-DSCF). EERP-DSCF achieved comparable results to the second MILP and with it we can extend the number of served VMs where the MILP scalability for big number of VMs is challenging. Finally, we present our new design for the photonic DS based data centre architecture supplemented with a complete description of the architecture components, communication patterns and some recommendations for the design implementation challenges.
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Ngoie, Jacques Kibambe. "A disaggregated Marshallian macroeconometric model of South Africa." Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-09242009-231908.

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Oluwole, Oluwadamilola. "Weather-sensitive, spatially-disaggregated electricity demand model for Nigeria." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/33043.

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The historical underinvestment in power infrastructure and the poor performance of power delivery has resulted in extensive and regular power shortages in Nigeria. As Nigeria aims to bridge its power supply gap, the recent deregulation of its electricity market has seen the privatisation of its generation and distribution companies. Ambitious plans have also been put in place to expand the transmission network and the total power generation capacity. However, these plans have been developed with essentially arbitrary estimates for prevailing demand levels as the network and generation limits mean actual demand cannot be measured directly due to a programme of almost constant load shedding; the managed and intermittent distribution of inadequate energy allocation from the system operator. Network expansion planning and system reliability analysis require time series demand data to assess generation adequacy and to evaluate the impact of daily and seasonal influences on the energy supply-demand balance. To facilitate such analysis this thesis describes efforts to develop a credible time series electricity demand model for Nigeria. The focus of the approach has been to develop a fundamental bottom-up model of individual households accounting for a range of dwelling characteristics, socioeconomic factors, appliance use and household activities. A householder survey was conducted to provide essential inputs to allow a portfolio of household demand models which can account for weather-dependence and other factors. A range of national and regional socioeconomic and weather datasets have been employed to create a regionally disaggregated time series demand model. The generated demand estimates are validated against metered data obtained from Nigeria. The value of the approach is highlighted by using the model to investigate the potential for future load growth as well as analyse the impact of renewable energy generation on the Nigerian grid.
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Duarte, Cláudia Filipa Pires. "On the role of disaggregated information for inflation forecasting." Master's thesis, Instituto Superior de Economia e Gestão, 2005. http://hdl.handle.net/10400.5/755.

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Mestrado em Economia
O principal objectivo desta dissertação é avaliar o papel da informação desagregada na previsão da inflação. Mais concretamente, esta informação refere-se às diversas componentes do índice de preços, segundo três níveis de desagregação: o índice total agregado, cinco classes e 59 índices elementares. Para avaliar a influência da utilização deste tipo de informação na qualidade das previsões recorre-se a três técnicas distintas: a abordagem bottom-up; os factores comuns dinâmicos; e a combinação de ambas. Indo mais além do que aquilo que é comum na literatura relativa a este tema, não só é utilizado mais do que um nível de desagregação, como um deles tem uma desagregação significativamente maior do que a que é habitualmente considerada. Relativamente aos modelos, foram utilizados quer modelos univariados (modelos RW e SARIMA), quer modelos multivariados (modelos FASARIMA, incluindo factores comuns dinâmicos). Para horizontes de previsão até 12 meses, é elaborado um exercício de previsão out-of-sample, fazendo uso de dados para o IPC de Portugal. Os resultados deste exercício mostram que a utilização de informação desagregada influencia positivamente a qualidade das previsões da inflação, para horizontes de previsão de um a nove meses.
The main aim of this dissertation is to evaluate the role of disaggregated information by product on inflation forecasting. In particular, this information refers to the several components of the price index, considering three disaggregation levels: the aggregated overall index, five components and 59 subcomponents. This is done by analysing the relevance for inflation forecast accuracy of three different techniques: the bottom-up approach; dynamic common factors; and the combination of both. In contrast with the literature, different levels of data disaggregation are allowed, namely a higher disaggregation level than the one considered up to now. In what concerns the models used, both univariate and multivariate models are applied, such as SARIMA and FASARIMA models (the latter including dynamic common factors). An out-of-sample forecast comparison (up to twelve-months ahead) is performed using Portuguese CPI data. I find evidence that, for a forecast horizon up to nine-months ahead, using disaggregated information for inflation forecasting has a significant positive impact on forecast accuracy.
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Books on the topic "Disaggregated"

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Pacter, Paul. Reporting disaggregated information. Norwalk, Conn: Financial Accounting Standards Board of the Financial Accounting Foundation, 1993.

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Kumar, K. Ravi. Strategic subcontracting for efficient disaggregated manufacturing. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1986.

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Borooah, Vani K. The structure of consumption decisions: A disaggregated analysis. Aldershot, Hants, England: Avebury, 1989.

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Office, International Labour, ed. Normalised and disaggregated gaps in basic workers' rights. Geneva: International Labour Office, 2003.

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Institute for Social and Economic Change, ed. Performance of Indian SEZs: A disaggregated level analysis. Bangalore: Institute for Social and Economic Change, 2010.

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Borooah, Vani K. The structure of consumption decisions: A disaggregated analysis. Aldershot: Avebury, 1989.

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Tantri, Malini L. Performance of Indian SEZs: A disaggregated level analysis. Bangalore: Institute for Social and Economic Change, 2010.

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Ouyang, Min. On the cyclicality of R&D: Disaggregated evidence. Cleveland, Ohio]: Federal Reserve Bank of Cleveland, 2007.

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Burns, Andrew. The natural rate of unemployment: A regionally disaggregated approach. xi, 105 p: ill., 1990.

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Greenhalgh, Christine. Innovation and export volumes and prices: A disaggregated study. London: Centre for Economic Policy Research, 1990.

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Book chapters on the topic "Disaggregated"

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Faber, M., H. Niemes, and G. Stephan. "A Disaggregated Environment-Capital Model." In Entropy, Environment and Resources, 38–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57832-8_3.

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Faber, Malte, Gunter Stephan, and Horst Niemes. "A Disaggregated Environment-Capital Model." In Entropy, Environment and Resources, 38–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-97047-4_3.

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Swaminathan, Mathura, and S. Niyati. "Gender Disaggregated Data in Agriculture." In Engendering Agricultural Development Dimensions and Strategies, 15–27. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003350002-3.

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Dubey, Amaresh, and Shivakar Tiwari. "Poverty and Inequality: A Disaggregated Analysis." In India Studies in Business and Economics, 133–53. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6443-3_6.

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Gkatzoflias, Dimitrios, Giorgos Mellios, Chariton Kouridis, Maria Theodosopoulou, Savvas Kleanthous, and Zissis Samaras. "Spatial disaggregated emissions inventory for Cyprus." In Information Technologies in Environmental Engineering, 105–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88351-7_8.

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Jennings, Wesley G., Nicholas Perez, Chris Delcher, and Yanning Wang. "County-Level Prescribing Rates: Aggregated and Disaggregated." In Opioid Prescribing Rates and Criminal Justice and Health Outcomes, 5–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40764-3_2.

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Nankervis, John, Sophie Richard, Soterios Soteri, and Frank Rodriguez. "Disaggregated Letter Traffic Demand in the UK." In Postal and Delivery Services, 203–18. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0253-7_12.

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Bhattacharyya, Subhes C. "Energy Demand Analysis at a Disaggregated Level." In Energy Economics, 77–106. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-268-1_4.

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Zhang, Junni L., and John Bryant. "Bayesian Disaggregated Forecasts: Internal Migration in Iceland." In Developments in Demographic Forecasting, 193–215. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42472-5_10.

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Abstract Local-level demographic forecasts are in high demand. Constructing local-level forecasts requires confronting the problems of random variation and sparse data. Bayesian methods offer promising solutions to both these problems. We illustrate using the example of inter-regional migration in Iceland.
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Rosenau, James N. "Disaggregated Order and Disorder in Globalized Space." In The New World Order, 18–45. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9781403905277_2.

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Conference papers on the topic "Disaggregated"

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Nagda, Heena, Rakesh Nagda, Nik Sultana, and Boon Thau Loo. "Demo: Disaggregated Dataplanes." In 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS). IEEE, 2021. http://dx.doi.org/10.1109/icdcs51616.2021.00109.

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Nagda, Heena, Rakesh Nagda, Nik Sultana, and Boon Thau Loo. "Demo: Disaggregated Dataplanes." In 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS). IEEE, 2021. http://dx.doi.org/10.1109/icdcs51616.2021.00109.

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Shan, Yizhou, Sumukh Hallymysore, Yutong Huang, Yilun Chen, and Yiying Zhang. "Disaggregated operating system." In SoCC '17: ACM Symposium on Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127479.3131617.

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Cugini, Filippo, Francesco Paolucci, Andrea Sgambelluri, Alessio Giorgetti, Davide Scano, and Piero Castoldi. "Designing Disaggregated Optical Networks." In 2020 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2020. http://dx.doi.org/10.23919/ondm48393.2020.9133039.

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Satoh, Ichiro. "Evolutionary Mechanism for Disaggregated Computing." In 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS). IEEE, 2012. http://dx.doi.org/10.1109/cisis.2012.164.

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Giorgetti, Alessio, Ramon Casellas, Roberto Morro, Andrea Campanella, and Piero Castoldi. "ONOS-controlled Disaggregated Optical Networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/ofc.2019.tu3h.2.

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Prete, Luca. "Building Open and Disaggregated ROADM." In Photonic Networks and Devices. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/networks.2016.netu2c.3.

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Leuthold, Juerg. "Photonic Integration for Disaggregated Computing." In 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2022. http://dx.doi.org/10.23919/oecc/psc53152.2022.9850001.

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Carbonari, Amanda, and Ivan Beschasnikh. "Tolerating Faults in Disaggregated Datacenters." In HotNets-XVI: The 16th ACM Workshop on Hot Topics in Networks. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3152434.3152447.

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Fu, Yongquan, Dongsheng Li, Siqi Shen, Yiming Zhang, and Kai Chen. "Resilient Disaggregated Network Flow Monitoring." In the ACM SIGCOMM 2019 Conference Posters and Demos. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3342280.3342305.

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Reports on the topic "Disaggregated"

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Andersen, Asger, Emil Toft Hansen, Kilian Huber, Niels Johannesen, and Ludwig Straub. Disaggregated Economic Accounts. Cambridge, MA: National Bureau of Economic Research, November 2022. http://dx.doi.org/10.3386/w30630.

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Bandyopadhyay, Subhayu, Todd Sandler, and Javed Younas. Trade and Terrorism: A Disaggregated Approach. Federal Reserve Bank of St. Louis, 2016. http://dx.doi.org/10.20955/wp.2016.001.

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Stephenson, D. E. Savannah River Site disaggregated seismic spectra. Office of Scientific and Technical Information (OSTI), February 1993. http://dx.doi.org/10.2172/6366499.

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Stephenson, D. E. Savannah River Site disaggregated seismic spectra. Office of Scientific and Technical Information (OSTI), February 1993. http://dx.doi.org/10.2172/10165069.

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Contessi, Silvio, Pierangelo De Pace, and Johanna L. Francis. The Cyclical Properties of Disaggregated Capital Flows. Federal Reserve Bank of St. Louis, 2008. http://dx.doi.org/10.20955/wp.2008.041.

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Felt, Eric J. Cost Considerations of Transition toward a Disaggregated Satellite Architecture. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ad1018821.

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Garrett, Thomas A. Aggregated vs. Disaggregated Data in Regression Analysis: Implications for Inference. Federal Reserve Bank of St. Louis, 2002. http://dx.doi.org/10.20955/wp.2002.024.

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Contessi, Silvio, Pierangelo De Pace, and Johanna L. Francis. Changes in the Second-Moment Properties of Disaggregated Capital Flows. Federal Reserve Bank of St. Louis, 2010. http://dx.doi.org/10.20955/wp.2010.020.

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Kommareddy, Vamsee, Clayton Hughes, Simon David Hammond, and Amro Awad. Opal: A Centralized Memory Manager for Investigating Disaggregated Memory Systems. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1467164.

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Boivin, Jean, Marc Giannoni, and Ilian Mihov. Sticky Prices and Monetary Policy: Evidence from Disaggregated U.S. Data. Cambridge, MA: National Bureau of Economic Research, January 2007. http://dx.doi.org/10.3386/w12824.

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