University of Minho

Displaying 1-40 of 91 results

  • White Papers // Mar 2014

    On a Duality Between Recoverable Distributed Storage and Index Coding

    Recently, local repair property of error-correcting codes is the center of a lot of research activity. In a distributed storage system, a single server failure is the most common error event, and in that case, the aim is to reconstruct the content of the server from as few other servers...

    Provided By University of Minho

  • White Papers // Jan 2014

    Exploiting User Interest in Data-Driven Cloud-based Mobile Optimization

    In this paper, the authors present their vision for data-driven cloud-based mobile computing. They identify the concept of Region of Interest (RoI) that reflects the profile of the user in how they access information or interact with applications. Such information enables a series of data-driven optimizations: filtering, aggregation, and speculation,...

    Provided By University of Minho

  • White Papers // Jan 2014

    Nebula: Distributed Edge Cloud for Data Intensive Computing

    Centralized cloud infrastructures have become the de-facto platform for data-intensive computing today. However, they suffer from inefficient data mobility due to the centralization of cloud resources, and hence, are highly unsuited for dispersed data-intensive applications, where the data may be spread at multiple geographical locations. In this paper, the authors...

    Provided By University of Minho

  • White Papers // Jan 2014

    Tiera: Towards Flexible Multi-Tiered Cloud Storage Instances

    Many cloud providers offer an array of storage services that represent different points along the performance, reliability, cost, and durability spectrum. However, an application must manage the complexity of different interfaces to these storage services and their diverse policies, if it needs the composite benefits of multiple storage tiers. The...

    Provided By University of Minho

  • White Papers // Oct 2013

    Characterizing Multi-Threaded Applications for Designing Sharing-Aware Last-Level Cache Replacement Policies

    Recent years have seen a large volume of proposals on managing the shared Last-Level Cache (LLC) of Chip Multi-Processors (CMPs). However, most of these proposals primarily focus on reducing the amount of destructive interference between competing independent threads of multi-programmed workloads. While very few of these studies evaluate the proposed...

    Provided By University of Minho

  • White Papers // Jul 2013

    Accelerating Data Race Detection Utilizing On-Chip Data-Parallel Cores

    Programmers are taking advantage of the increasing availability of on-chip parallelism to meet the rising performance demands of diverse applications. Support of tools that can facilitate the detection of incorrect program execution when concurrent threads are involved is critical to this evolution. Many concurrency bugs manifest as some form of...

    Provided By University of Minho

  • White Papers // Jul 2013

    HAccRG: Hardware-Accelerated Data Race Detection in GPUs

    Modern Graphics Processing Units (GPUs) are capable of supporting thousands of concurrent threads. However, they provide relatively little guarantee with respect to the coherence and consistency of the memory system. Thus, GPUs are prone to multitude of concurrency bugs related to inconsistent memory states. Many such bugs manifest as some...

    Provided By University of Minho

  • White Papers // Jul 2013

    Managing Shared Last-Level Cache in a Heterogeneous Multicore Processor

    Heterogeneous multi-core processors that integrate CPU cores and data-parallel accelerators such as GPU cores onto the same die raise several new issues for sharing various on-chip resources. The shared Last-Level Cache (LLC) is one of the most important shared resources due to its impact on performance. Accesses to the shared...

    Provided By University of Minho

  • White Papers // Jun 2013

    On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements

    In this paper the authors establish fundamental performance limits for the task of support recovery of tree-sparse signals from noisy measurements, in settings where measurements may be obtained either non-adaptively (using a randomized Gaussian measurement strategy motivated by initial CS investigations) or by any adaptive sensing strategy. Their main results...

    Provided By University of Minho

  • White Papers // May 2013

    An Upper Bound On the Size of Locally Recoverable Codes

    In a locally recoverable or repairable code, any symbol of a codeword can be recovered by reading only a small (constant) number of other symbols. The notion of local recoverability is important in the area of distributed storage where a most frequent error-event is a single storage node failure (erasure)....

    Provided By University of Minho

  • White Papers // May 2013

    On Chebyshev Radius of a Set in Hamming Space and the Closest String Problem

    The Chebyshev radius of a set in a metric space is defined to be the radius of the smallest ball containing the set. This quantity is closely related to the covering radius of the set and, in particular for Hamming set, is extensively studied in computational biology. This paper investigates...

    Provided By University of Minho

  • White Papers // May 2013

    Ghost Talk: Mitigating EMI Signal Injection Attacks Against Analog Sensors

    ElectroMagnetic Interference (EMI) affects circuits by inducing voltages on conductors. Analog sensing of signals on the order of a few millivolts is particularly sensitive to interference. This paper measures the susceptibility of analog sensor systems to signal injection attacks by intentional, low-power emission of chosen electromagnetic waveforms, and proposes defense...

    Provided By University of Minho

  • White Papers // Jan 2013

    Cross-Phase Optimization in MapReduce

    MapReduce has been designed to accommodate large-scale data-intensive workloads running on large single-site homogeneous clusters. Researchers have begun to explore the extent to which the original MapReduce assumptions can be relaxed including skewed workloads, iterative applications, and heterogeneous computing environments. The authors' work continues this exploration by applying MapReduce across...

    Provided By University of Minho

  • White Papers // Jan 2013

    Accelerating Distributed Workflows With Edge Resources

    Distributed data-intensive workflow applications are increasingly relying on and integrating remote resources including community data sources, services, and computational platforms. Increasingly, these are made available as data, SAAS, and IAAS clouds. The execution of distributed data-intensive workflow applications can expose network bottlenecks between clouds that compromise performance. In this paper,...

    Provided By University of Minho

  • White Papers // Jan 2013

    Towards Privacy-Aware Location-Based Database Servers

    The wide spread of location-based services results in a strong market for location-detection devices (e.g., GPS-like devices, RFIDs, handheld devices, and cellular phones). Examples of location-based services include location-aware emergency service, location-based advertisement, live traffic reports, and location-based store under. However, location-detection devices pose a major privacy threat on its...

    Provided By University of Minho

  • White Papers // Jan 2013

    Spatial Cloaking for Anonymous Location-Based Services in Mobile Peer-to-Peer Environments

    In this paper, the authors tackle a privacy breach in current Location-Based Services (LBS) where mobile users have to report their exact location information to an LBS provider in order to obtain their desired services. For example, a user who wants to issue a query asking about her nearest gas...

    Provided By University of Minho

  • White Papers // Nov 2012

    A Feature Combination Approach for the Detection of Early Morning Bathroom Activities with Wireless Sensors

    In this paper the authors investigate the use of wearable accelerometers and wireless home sensors for the detection of early morning daily activities. In particular they focus on the detection of brushing, washing face and shaving activities by using a wireless accelerometer sensor attached to the right wrist of subjects...

    Provided By University of Minho

  • White Papers // Nov 2012

    Panda: A Predictive Spatio-Temporal Query Processor

    This paper presents the Panda system for efficient support of a wide variety of predictive spatio-temporal queries that are widely used in several applications including traffic management, location-based advertising, and ride sharing. Unlike previous attempts in supporting predictive queries, Panda targets long-term query prediction as it relies on adapting a...

    Provided By University of Minho

  • White Papers // Nov 2012

    Application of Geomorphological Data Layers to Landslide Susceptibility Mapping with Analytical Hierarchical Process and GIS Techniques (Case Study: Zonouz Plain, East Azerbaijan, Iran)

    Without a doubt, landslide is one of the most disastrous natural hazards. Therefore, landslide susceptibility maps in regional scale are useful guide for future development activities. In this paper, the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) were used to produce landslide susceptibility map of the Zonouz Plain...

    Provided By University of Minho

  • White Papers // Sep 2012

    Network-Compressive Coding for Wireless Sensors with Correlated Data

    A network-compressive transmission protocol is developed in which correlated sensor observations belonging to a finite alphabet are linearly combined as they traverse the network on their way to a sink node. Statistical dependencies are modeled using factor graphs. The sum-product algorithm is run under different modeling assumptions to estimate the...

    Provided By University of Minho

  • White Papers // Aug 2012

    Joint Back-Pressure Power Control and Interference Cancellation in Wireless Multi-Hop Networks

    Back-pressure routing and power control policies are well-appreciated for maximizing throughput in wireless multi-hop networks, where power control is used to manage interference in a way that ultimately optimizes throughput, a network-layer performance measure. In addition to transmitter power control, interference can be mitigated via selective receiver-side signal cancellation, provided...

    Provided By University of Minho

  • White Papers // Aug 2012

    Advances in Spectrum Sensing and Cross-Layer Design for Cognitive Radio Networks

    Spectrum sensing is the key task for Cognitive Radio (CR) networks with significant challenges that have attracted a flux of research and innovation in recent years. Various signal processing, learning and optimization techniques have been employed to tackle different aspects. In this paper, progresses made in this area are reviewed...

    Provided By University of Minho

  • White Papers // Jun 2012

    Methodically Modeling the Tor Network

    Live Tor network experiments are difficult due to Tor's distributed nature and the privacy requirements of its client base. Alternative experimentation approaches, such as simulation and emulation, must make choices about how to model various aspects of the Internet and Tor that are not possible or not desirable to duplicate...

    Provided By University of Minho

  • White Papers // Jun 2012

    GeoFeed: A Location-Aware News Feed System

    This paper presents the GeoFeed system; a location-aware news feed system that provides a new platform for its users to get spatially related message updates from either their friends or favorite news sources. GeoFeed distinguishes itself from all existing news feed systems in that it enables users to post message...

    Provided By University of Minho

  • White Papers // May 2012

    Precoder Design for Physical Layer Multicasting

    This paper studies the design of linear precoders via instantaneous rate maximization over a K-user multicast channel, wherein multiple antennas are present at the transmitter as well as at all the receivers. The authors first consider the scenario wherein the linear precoder can be any complex valued matrix subject to...

    Provided By University of Minho

  • White Papers // May 2012

    Collaboration in Social Network-Based Information Dissemination

    Connectivity and trust within social networks have been exploited to build applications on top of these networks, including information dissemination, Sybil defenses, and anonymous communication systems. In these networks, and for such applications, connectivity ensures good performance of applications while trust is assumed to always hold, so as collaboration and...

    Provided By University of Minho

  • White Papers // May 2012

    Reduced-Latency SC Polar Decoder Architectures

    Polar codes have become one of the most favorable capacity achieving Error Correction Codes (ECC) along with their simple encoding method. However, among the very few prior Successive Cancellation (SC) polar decoder designs, the required long code length makes the decoding latency high. In this paper, conventional decoding algorithm is...

    Provided By University of Minho

  • White Papers // Dec 2011

    SocialCloud: Using Social Networks for Building Distributed Computing Services

    In this paper, the authors investigate a new computing paradigm, called SocialCloud, in which computing nodes are governed by social ties driven from a bootstrapping trust possessing social graph. They investigate how this paradigm differs from existing computing paradigms, such as grid computing and the conventional cloud computing paradigms. They...

    Provided By University of Minho

  • White Papers // Nov 2011

    Efficient Similarity Search via Sparse Coding

    In this paper, the authors present a new indexing method using sparse coding for fast approximate Nearest Neighbors (NN) on high dimensional image data. To begin with the sparse code the data using a learned basis dictionary and an index of the dictionary's support set is next used to generate...

    Provided By University of Minho

  • White Papers // Nov 2011

    Mobilizing the Cloud: Enabling Multi-User Mobile Outsourcing in the Cloud

    Mobile devices, such as Smartphone's and tablets, are becoming the universal interface to online services and applications. However, such devices have limited computational power and battery life, which limits their ability to execute rich, resource-intensive applications. Mobile computation outsourcing to external resources has been proposed as a technique to alleviate...

    Provided By University of Minho

  • White Papers // Sep 2011

    Hybrid Cooperative Caching in a Mobile Environment

    Caching is a key technique for improving data access performance of mobile clients. The emergence of peer-to-peer communication technologies now brings to reality "Cooperative caching" in which mobile clients help one another in caching. They not only can retrieve data items from mobile support stations, but also from the cache...

    Provided By University of Minho

  • White Papers // Sep 2011

    Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries Over Uncertain Data

    In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query for uncertain objects is the Probabilistic Nearest-Neighbor query (PNN), which computes the probability of each object for being the nearest neighbor of a query point. Evaluating...

    Provided By University of Minho

  • White Papers // Sep 2011

    Shadow: Running Tor in a Box for Accurate and Efficient Experimentation

    Tor is a large and popular overlay network providing both anonymity to its users and a platform for anonymous communication research. New design proposals and attacks on the system are challenging to test in the live network because of deployment issues and the risk of invading users' privacy, while alternative...

    Provided By University of Minho

  • White Papers // Aug 2011

    FAST: A Generic Framework for Flash-Aware Spatial Trees

    Spatial tree index structures are crucial components in spatial data management systems, designed with the implicit assumption that the underlying external memory storage is the conventional magnetic hard disk drives. This assumption is going to be invalid soon, as flash memory storage is increasingly adopted as the main storage media...

    Provided By University of Minho

  • White Papers // Jul 2011

    Strategic Interaction In Local Fiscal Policy: Evidence From Portuguese Municipalities

    This paper aims at testing the degree of interaction between Portuguese municipalities' expenditure levels by estimating a dynamic panel model, based on jurisdictional reaction functions. The analysis is performed for all 278 Portuguese mainland municipalities from 1986 to 2006, using alternative ways to measure neighbourhood. Results indicate that local governments'...

    Provided By University of Minho

  • White Papers // Jul 2011

    Wealth, Labour Income, Stock Returns And Government Bond Yields, And Financial Stress In The Euro Area

    The author shows that when the ratio of asset wealth to human wealth falls, investors become more exposed to idiosyncratic shocks and demand higher stock and government bond risk premia. The author finds that the residuals from the cointegrating vector among asset wealth and labour income, wy, predict both future...

    Provided By University of Minho

  • White Papers // Apr 2011

    A Correlation-Aware Data Placement Strategy for Key-Value Stores

    Key-value stores hold the unprecedented bulk of the data produced by applications such as social networks. Their scalability and availability requirements often outweigh sacrificing richer data and processing models, and even elementary data consistency. Moreover, existing key-value stores have only random or order based placement strategies. In this paper, the...

    Provided By University of Minho

  • White Papers // Mar 2011

    Consumption, Wealth, Stock And Government Bond Returns: International Evidence

    In this paper, the authors show, from the consumer's budget constraint, that the residuals of the trend relationship among consumption, aggregate wealth, and labour income should predict both stock returns and government bond yields. They use data for several OECD countries and find that when agents expect future stock returns...

    Provided By University of Minho

  • White Papers // Mar 2011

    PrefJoin: An Efficient Preference-Aware Join Operator

    Preference queries are essential to a wide spectrum of applications including multi-criteria decision-making tools and personalized databases. Unfortunately, most of the evaluation techniques for preference queries assume that the set of preferred attributes are stored in only one relation, waiving on a wide set of queries that include preference computations...

    Provided By University of Minho

  • White Papers // Mar 2011

    The Real Effects Of Financial Stress In The Euro Zone

    Using two identification strategies based on a Bayesian Structural VAR and a Sign-Restriction VAR, the authors examine the real effects of financial stress in the Eurozone. In particular, they assess the macroeconomic impact of: a monetary policy shock; and a financial stress shock. They find that a monetary policy contraction...

    Provided By University of Minho

  • White Papers // Sep 2011

    Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries Over Uncertain Data

    In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query for uncertain objects is the Probabilistic Nearest-Neighbor query (PNN), which computes the probability of each object for being the nearest neighbor of a query point. Evaluating...

    Provided By University of Minho

  • White Papers // Sep 2011

    Hybrid Cooperative Caching in a Mobile Environment

    Caching is a key technique for improving data access performance of mobile clients. The emergence of peer-to-peer communication technologies now brings to reality "Cooperative caching" in which mobile clients help one another in caching. They not only can retrieve data items from mobile support stations, but also from the cache...

    Provided By University of Minho

  • White Papers // Nov 2012

    Application of Geomorphological Data Layers to Landslide Susceptibility Mapping with Analytical Hierarchical Process and GIS Techniques (Case Study: Zonouz Plain, East Azerbaijan, Iran)

    Without a doubt, landslide is one of the most disastrous natural hazards. Therefore, landslide susceptibility maps in regional scale are useful guide for future development activities. In this paper, the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) were used to produce landslide susceptibility map of the Zonouz Plain...

    Provided By University of Minho

  • White Papers // Jun 2009

    Asymptotically Optimal Policies for Hard-Deadline Scheduling Over Fading Channels

    A hard-deadline, opportunistic scheduling problem in which B bits must be transmitted within T time-slots over a time-varying channel is studied: the transmitter must decide how many bits to serve in each slot based on knowledge of the current channel but without knowledge of the channel in future slots, with...

    Provided By University of Minho

  • White Papers // Apr 2009

    Optimized Training and Feedback for MIMO Downlink Channels

    The authors consider a MIMO fading broadcast channel where channel state information is acquired at user terminals via downlink training and channel feedback is used to provide transmitter Channel State InformaTion (CSIT) to the base station. The feedback channel (the corresponding uplink) is modeled as an AWGN channel, orthogonal across...

    Provided By University of Minho

  • White Papers // Mar 2009

    Transmission Capacity of Wireless Ad Hoc Networks: Successive Interference Cancellation Vs. Joint Detection

    The performance benefits of two interference cancellation methods, Successive Interference Cancellation (SIC) and Joint Detection (JD), in wireless ad hoc networks are compared within the transmission capacity framework. SIC involves successively decoding and subtracting out strong interfering signals until the desired signal can be decoded, while higher-complexity JD refers to...

    Provided By University of Minho

  • White Papers // Feb 2009

    Delay Constrained Scheduling Over Fading Channels: Optimal Policies for Monomial Energy-Cost Functions

    A point-to-point discrete-time scheduling problem of transmitting B information bits within T hard delay deadline slots is considered assuming that the underlying energy-bit cost function is a convex monomial. The scheduling objective is to minimize the expected energy expenditure while satisfying the deadline constraint based on information about the unserved...

    Provided By University of Minho

  • White Papers // Jul 2009

    De-Hyping Transmit Diversity in Modern MIMO Cellular Systems

    A contemporary perspective on the tradeoff between transmit antenna diversity and spatial multiplexing is provided. It is argued that, in the context of modern cellular systems and for the operating points of interest, transmission techniques that utilize all available spatial degrees of freedom for multiplexing outperform techniques that explicitly sacrifice...

    Provided By University of Minho

  • White Papers // Dec 2009

    Training and Feedback Optimization for Multiuser MIMO Downlink

    The authors consider a MIMO fading broadcast channel where the fading channel coefficients are constant over time-frequency blocks that span a coherent time ? a coherence bandwidth. In closed-loop systems, Channel State Information at Transmitter (CSIT) is acquired by the downlink training sent by the base station and an explicit...

    Provided By University of Minho

  • White Papers // Apr 2009

    What Is the Value of Joint Processing of Pilots and Data in Block-Fading Channels?

    The spectral efficiency achievable with joint processing of pilot and data symbol observations is compared with that achievable through the conventional (separate) approach of first estimating the channel on the basis of the pilot symbols alone, and subsequently detecting the data symbols. Studied on the basis of a mutual information...

    Provided By University of Minho

  • White Papers // Sep 2010

    On Achievable Rates of the Two-User Symmetric Gaussian Interference Channel

    The authors study the Han-Kobayashi (HK) achievable sum rate for the two-user symmetric Gaussian interference channel. They find the optimal power split ratio between the common and private messages (assuming no time-sharing), and derive a closed form expression for the corresponding sum rate. This provides a finer understanding of the...

    Provided By University of Minho

  • White Papers // Oct 2009

    Efficient Cooperative Spectrum Sensing in Cognitive Radio

    In this paper, the authors present a new cooperative spectrum sensing scheme, which allocates two separate short periods for sensing and cooperation to achieve high capability of detecting the Primary User (PU) with low interference. A mathematical model is built to derive a closed formulation of the detection probability of...

    Provided By University of Minho

  • White Papers // Aug 2010

    Identifying Suspicious Activities Through DNS Failure Graph Analysis

    As a key approach to securing large networks, existing anomaly detection techniques focus primarily on network traffic data. However, the sheer volume of such data often renders detailed analysis very expensive and reduces the effectiveness of these tools. In this paper, the authors propose a light-weight anomaly detection approach based...

    Provided By University of Minho

  • White Papers // Aug 2012

    Advances in Spectrum Sensing and Cross-Layer Design for Cognitive Radio Networks

    Spectrum sensing is the key task for Cognitive Radio (CR) networks with significant challenges that have attracted a flux of research and innovation in recent years. Various signal processing, learning and optimization techniques have been employed to tackle different aspects. In this paper, progresses made in this area are reviewed...

    Provided By University of Minho

  • White Papers // May 2013

    An Upper Bound On the Size of Locally Recoverable Codes

    In a locally recoverable or repairable code, any symbol of a codeword can be recovered by reading only a small (constant) number of other symbols. The notion of local recoverability is important in the area of distributed storage where a most frequent error-event is a single storage node failure (erasure)....

    Provided By University of Minho

  • White Papers // Jan 2013

    Towards Privacy-Aware Location-Based Database Servers

    The wide spread of location-based services results in a strong market for location-detection devices (e.g., GPS-like devices, RFIDs, handheld devices, and cellular phones). Examples of location-based services include location-aware emergency service, location-based advertisement, live traffic reports, and location-based store under. However, location-detection devices pose a major privacy threat on its...

    Provided By University of Minho

  • White Papers // Oct 2010

    Skyline Query Processing for Uncertain Data

    Recently, several research efforts have addressed answering skyline queries efficiently over large datasets. However, this research lacks methods to compute these queries over un-certain data, where uncertain values are represented as a range. In this paper, the authors define skyline queries over continuous uncertain data, and propose a novel, efficient...

    Provided By University of Minho

  • White Papers // Nov 2012

    Panda: A Predictive Spatio-Temporal Query Processor

    This paper presents the Panda system for efficient support of a wide variety of predictive spatio-temporal queries that are widely used in several applications including traffic management, location-based advertising, and ride sharing. Unlike previous attempts in supporting predictive queries, Panda targets long-term query prediction as it relies on adapting a...

    Provided By University of Minho

  • White Papers // Oct 2009

    FlexPref: A Framework for Extensible Preference Evaluation in Database Systems

    Personalized database systems give users answers tailored to their personal preferences. While numerous preference evaluation methods for databases have been proposed (e.g., skyline, top-k, k-dominance, k-frequency), the implementation of these methods at the core of a database system is a doubleedged sword. Core implementation provides efficient query processing for arbitrary...

    Provided By University of Minho

  • White Papers // Apr 2009

    RDF Data-Centric Storage

    The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is the storage of the Resource Description Framework (RDF) data: the model at the core of the Semantic Web. The authors present a...

    Provided By University of Minho

  • White Papers // Jul 2010

    Exchange Rates, Employment And Labour Market

    There is increasing evidence that the interaction between shocks and labour market institutions is crucial to understanding the dynamics of employment. In this paper, the authors show that the inclusion of labour adjustment costs in a trade model affects the impact of exchange rate movements on employment. They also explore...

    Provided By University of Minho

  • White Papers // Apr 2010

    Collateralizable Wealth, Asset Returns, And Systemic Risk: International Evidence

    I assess the role of wealth and systemic risk in explaining future asset returns. The author shows that the residuals of the trend relationship among asset wealth and human wealth predict both stock returns and government bond yields. Using data for a set of industrialized countries, the author finds that...

    Provided By University of Minho

  • White Papers // Feb 2009

    Wealth Effects In Emerging Market Economies

    The authors build a panel of 14 emerging economies to estimate the magnitude of housing, stock market, and money wealth effects on consumption. Using modern panel data econometric techniques and quarterly data for the period 1990:1-2008:2, they show that: wealth effects are statistically significant and relatively large in magnitude; housing...

    Provided By University of Minho

  • White Papers // Jul 2009

    Asset Prices, Credit And Investment In Emerging Markets

    The authors build a panel of 31 emerging economies to uncover the determinants of private investment growth in emerging markets. Using several econometric techniques and quarterly data for the period 1990:1-2008:3, they show that: the GDP and the cost of capital are among the fundamental determinants of private investment; the...

    Provided By University of Minho

  • White Papers // Aug 2010

    The Role Of Trade Fair Interactions In B2B Relationship Quality

    This paper aims to investigate B2B interactions at trade fairs and contribute to a better understanding of interaction behaviour in such context. The importance of understanding buyer (visitor) and seller (exhibitor) interactions at trade fairs resides in the fact that trade fairs represent a privileged field for relationship building and...

    Provided By University of Minho

  • White Papers // Apr 2009

    Providing Cost-Effective QoS Monitoring in Multiservice Networks

    In multiservice networks, QoS monitoring needs to be carried out in a per-class basis so that each service class measuring requirements and behavior are met and sensed properly. Facing the shortage of off-the-shelf class-based monitoring solutions, this paper is focused on the development of a flexibly QoS monitoring tool oriented...

    Provided By University of Minho

  • White Papers // Jun 2009

    Evaluation of the Impact of the Topology and Hidden Nodes in the Performance of a ZigBee Network

    Low power and small footprint IEEE 802.15.4/ZigBee based devices are a promising alternative to 802.11a/b/g and proprietary protocols for noncritical patient monitoring under important scenarios such as post-op and emergency rooms. However, their use in a healthcare facility to monitor several mobile patients poses several difficulties, mainly because these protocols...

    Provided By University of Minho

  • White Papers // Jul 2010

    Elections, Fiscal Policy And Fiscal Illusion

    This paper tests the joint hypotheses that policymakers engage in fiscal policy opportunism and that voters respond by rewarding that opportunism with higher vote margins. Furthermore, it investigates the impact of fiscal illusion on the previous two dimensions. Empirical results, obtained with a sample of 68 countries from 1960 to...

    Provided By University of Minho

  • White Papers // Jul 2011

    Strategic Interaction In Local Fiscal Policy: Evidence From Portuguese Municipalities

    This paper aims at testing the degree of interaction between Portuguese municipalities' expenditure levels by estimating a dynamic panel model, based on jurisdictional reaction functions. The analysis is performed for all 278 Portuguese mainland municipalities from 1986 to 2006, using alternative ways to measure neighbourhood. Results indicate that local governments'...

    Provided By University of Minho

  • White Papers // Jul 2011

    Wealth, Labour Income, Stock Returns And Government Bond Yields, And Financial Stress In The Euro Area

    The author shows that when the ratio of asset wealth to human wealth falls, investors become more exposed to idiosyncratic shocks and demand higher stock and government bond risk premia. The author finds that the residuals from the cointegrating vector among asset wealth and labour income, wy, predict both future...

    Provided By University of Minho

  • White Papers // Mar 2011

    The Real Effects Of Financial Stress In The Euro Zone

    Using two identification strategies based on a Bayesian Structural VAR and a Sign-Restriction VAR, the authors examine the real effects of financial stress in the Eurozone. In particular, they assess the macroeconomic impact of: a monetary policy shock; and a financial stress shock. They find that a monetary policy contraction...

    Provided By University of Minho

  • White Papers // Jul 2009

    Fundamentals, Financial Factors And The Dynamics Of Investment In Emerging Markets

    The paper uses a Panel Vector Auto-Regression (PVAR) approach to analyze the short-run adjustment of private investment to shocks to fundamental and financial factors in emerging market economies. By relying on a panel of 31 emerging economies and quarterly frequency data for the period 1990:1-2008:3, the authors show that: investment...

    Provided By University of Minho

  • White Papers // Feb 2011

    Modelling the Impact of Software Components on Wireless Sensor Network Performance

    Network simulators are often used to study multiple aspects of data communications in distinct scenarios, including Wireless Sensor Networks (WSN). However, the performance of the software components running in the network nodes is normally neglected by the simulators. This aspect is particularly important in WSNs, as nodes have very limited...

    Provided By University of Minho

  • White Papers // May 2010

    A Wireless Sensor Network Platform for Structural Health Monitoring: Enabling Accurate and Synchronized Measurements Through COTS+custom-Based Design

    Structural health monitoring has long been identified as a prominent application of Wireless Sensor Networks (WSNs), as traditional wired-based solutions present some inherent limitations such as installation/maintenance cost, scalability and visual impact. Nevertheless, there is a lack of ready-to-use and off-the-shelf WSN technologies that are able to fulfill some most...

    Provided By University of Minho

  • White Papers // Aug 2010

    Scalable Transactions in the Cloud: Partitioning Revisited

    Cloud computing is becoming one of the most used paradigms to deploy highly available and scalable systems. These systems usually demand the management of huge amounts of data, which cannot be solved with traditional nor replicated database systems as the authors know them. Recent solutions store data in special key-value...

    Provided By University of Minho

  • White Papers // May 2009

    A-OSGi: A Framework to Support the Construction of Autonomic OSGi-Based Applications

    The OSGi specification is becoming widely adopted to build complex applications. It offers adequate support to build modular applications, where modules can be added and removed at runtime without stopping the entire application. This paper proposes A-OSGi, a framework that leverages on the native features of the OSGi platform to...

    Provided By University of Minho

  • White Papers // May 2010

    Thicket: A Protocol for Building and Maintaining Multiple Trees in a P2P Overlay

    One way to efficiently disseminate information in a P2P overlay is to rely on a spanning tree. However, in a tree, interior nodes support a much higher load than leaf nodes. Also, the failure of a single node can break the tree, impairing the reliability of the dissemination protocol. These...

    Provided By University of Minho

  • White Papers // Feb 2010

    On Adding Structure to Unstructured Overlay Networks

    Unstructured peer-to-peer overlay networks are very resilient to churn and topology changes, while requiring little maintenance cost. Therefore, they are an infrastructure to build highly scalable large-scale services in dynamic networks. Typically, the overlay topology is defined by a peer sampling service that aims at maintaining, in each process, a...

    Provided By University of Minho

  • White Papers // Feb 2010

    Gossip-Based Broadcast

    Gossip, or epidemic, protocols have emerged as a powerful strategy to implement highly scalable and resilient reliable broadcast primitives on large scale peer-to-peer networks. Epidemic protocols are scalable because they distribute the load among all nodes in the system and resilient because they have an intrinsic level of redundancy that...

    Provided By University of Minho

  • White Papers // Jun 2009

    X-BOT: A Protocol for Resilient Optimization of Unstructured Overlays

    Gossip, or epidemic, protocols have emerged as a highly scalable and resilient approach to implement several application level services such as reliable multicast, data aggregation, publish-subscribe, among others. All these protocols organize nodes in an unstructured random overlay network. In many cases, it is interesting to bias the random overlay...

    Provided By University of Minho