Indiana University

Displaying 1-40 of 191 results

  • White Papers // Jun 2014

    SPARQL Query Optimization for Structural Indexed RDF Data

    Resource description framework, RDF, is a standard language model for representing semantic data. As the concept of semantic Web becomes more viable, the ability to retrieve and exchange semantic data will become increasingly more important. Efficient management of RDF data is one of the key research issues in semantic Web;...

    Provided By Indiana University

  • White Papers // Jun 2014

    The FutureGrid Testbed for Big Data

    In this paper the authors will be introducing FutureGrid, which provides a testbed to conduct research for cloud, grid, and high performance computing. Although FutureGrid has only a modest number of compute cores (about 4500 regular cores and 14000 GPU cores) it provides an ideal playground to test out various...

    Provided By Indiana University

  • White Papers // Mar 2014

    Towards Understanding Cloud Usage through Resource Allocation Analysis on XSEDE

    In shared resource environments, usage data is necessary to identify utilization of the infrastructure by users. Many cloud platforms recently started to collect measurements for use of resources that can be applied to billing and monitoring. Understanding utilization and performance through these measurements is crucial in the infrastructure in order...

    Provided By Indiana University

  • White Papers // Mar 2014

    Evaluation of Java Message Passing in High Performance Data Analytics

    In the last few years, Java gain popularity in processing \"Big data\" mostly with Apache big data stack - a collection of open source frameworks dealing with abundant data, which includes several popular systems such as Hadoop, Hadoop Distributed File System (HDFS), and spark. Efforts have been made to introduce...

    Provided By Indiana University

  • White Papers // Mar 2014

    Converting Data to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs and CPUs

    High-level domain-specific-languages for array processing on the GPU are increasingly common, but to date they run only on a single GPU. The authors argue that languages will need to target multiple devices, even simultaneous combinations of GPU/GPU and CPU/GPU. Increased flexibility may be key to making these languages more easily...

    Provided By Indiana University

  • White Papers // Feb 2014

    Supporting Queries and Analyses of Large-Scale Social Media Data with Customizable and Scalable Indexing Techniques over NoSQL Databases

    Social media data analysis demonstrates two special characteristics in big data processing. First, most analyses focus on data subsets related to specific social events or activities, instead of the whole data set. Second, analysis workflows consist of multiple stages, and algorithms applied in each stage may use different computation and...

    Provided By Indiana University

  • White Papers // Feb 2014

    Advanced Virtualization Techniques for High Performance Cloud Cyberinfrastructure

    With the advent of virtualization and Infrastructure-as-a-Service (IaaS), the broader scientific computing community is considering the use of clouds for their scientific computing needs. This is due to the relative scalability, ease of use, advanced user environment customization abilities, and the many novel computing paradigms available for data-intensive applications. However,...

    Provided By Indiana University

  • White Papers // Jan 2014

    Towards a Collective Layer in the Big Data Stack

    During the last decade three largely industry-driven disruptive trends have altered the landscape of scalable parallel computing, which has long been dominated by the HPC applications. These disruptions are the emergence of data intensive computing (aka big data), the new emergence of commodity cluster-based execution & storage frameworks such as...

    Provided By Indiana University

  • White Papers // Oct 2013

    Parallel Deterministic Annealing Clustering and its Application to LC-MS Data Analysis

    The authors present a scalable parallel deterministic annealing formalism for clustering with cutoffs and position dependent variances. They apply it to the \"Peak matching\" problem of the precise identification of the common LC-MS peaks across a cohort of multiple biological samples in proteomic biomarker discovery. They find reliably and automatically...

    Provided By Indiana University

  • White Papers // Sep 2013

    Optimizing OpenCL Kernels for Iterative Statistical Applications on GPUs

    The authors present a study of three important kernels that occur frequently in iterative statistical applications: k-means, Multi-Dimensional Scaling (MDS), and PageRank. They implemented each kernel using OpenCL and evaluated their performance on an NVIDIA Tesla GPGPU card. By examining the underlying algorithms and empirically measuring the performance of various...

    Provided By Indiana University

  • White Papers // Jul 2013

    An Overview of Present NoSQL Solutions and Features

    NoSQL database is an emerging research topic as the amount of stored digital information is dramatically growing each minute. In the authors' current era of extreme data scales, NoSQL meets the requirements of the large-scale distributed computing environment, which provides scalability, high availability, high performance and reliability. NoSQL solutions share...

    Provided By Indiana University

  • White Papers // Jun 2013

    Bootstrapping Trust in Online Dating: Social Verification of Online Dating Profiles

    Online dating is an increasingly thriving business which boasts billion dollar revenues and attracts users in the tens of millions. Notwithstanding its popularity, online dating is not impervious to worrisome trust and privacy concerns raised by the disclosure of potentially sensitive data as well as the exposure to self-reported (and...

    Provided By Indiana University

  • White Papers // May 2013

    A Robust and Scalable Solution for Interpolative Multidimensional Scaling With Weighting

    Advances in modern bio-sequencing techniques have led to a proliferation of raw genomic data that enables an unprecedented opportunity for data mining. To analyze such large volume and high-dimensional scientific data, many high performance dimension reduction and clustering algorithms have been developed. Among the known algorithms, the authors use Multi-Dimensional...

    Provided By Indiana University

  • White Papers // Apr 2013

    Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

    Heterogeneous parallel system with multi processors and accelerators are becoming ubiquitous due to better cost-performance and energy-efficiency. These heterogeneous processor architectures have different instruction sets and are optimized for either task-latency or throughput purposes. Challenges occur in regard to programmability and performance when executing SPMD computations on heterogeneous architectures simultaneously....

    Provided By Indiana University

  • White Papers // Mar 2013

    Android Provenance: Diagnosing Device Disorders

    Mobile devices are a ubiquitous part of the people daily lives. Smartphones are being used in many areas where data privacy and integrity are a concern. One threat to integrity and privacy is the existence of bugs in operating system code. Little has been done to provide tools for system-wide...

    Provided By Indiana University

  • White Papers // Nov 2012

    Survey on High Productivity Computing Systems (HPCS) Languages

    Parallel languages have been focused towards performance, but it alone is not be sufficient to overcome the barrier of developing software that exploits the power of evolving architectures. DARPA initiated High Productivity Computing Systems (HPCS) languages project as a solution which addresses software productivity goals through language design. The resultant...

    Provided By Indiana University

  • White Papers // Nov 2012

    FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments

    Scientific applications are increasingly using cloud resources for their data analysis workflows. However, managing data effectively and efficiently over these cloud resources is challenging due to the myriad storage choices with different performance, cost trade-offs, complex application choices and complexity associated with elasticity, failure rates in these environments. The explosion...

    Provided By Indiana University

  • White Papers // Sep 2012

    PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

    As Smartphone become more pervasive, they are increasingly targeted by malware. At the same time, each new generation of Smartphone features increasingly powerful onboard sensor suites. A new strain of 'Sensor malware' has been developing that leverages these sensors to steal information from the physical environment - e.g., researchers have...

    Provided By Indiana University

  • White Papers // Aug 2012

    The Design and Implementation of a Multi-Level Content-Addressable Checkpoint File System

    Long-running HPC applications guard against node failures by writing checkpoints to parallel file systems. Writing these checkpoints with petascale class machines has proven difficult and the increased concurrency demands of exascale computing will exacerbate this problem. To meet check-pointing demands and sustain application-perceived throughput at exascale, multi-tiered hierarchical storage architectures...

    Provided By Indiana University

  • White Papers // Aug 2012

    Performance Model for Parallel Matrix Multiplication with Dryad: Dataflow Graph Runtime

    In order to meet the big data challenge of today's society, several parallel execution models on distributed memory architectures have been proposed: MapReduce, Iterative MapReduce, graph processing, and dataflow graph processing. Dryad is a distributed data-parallel execution engine that model program as dataflow graphs. In this paper, the authors evaluated...

    Provided By Indiana University

  • White Papers // Jul 2012

    Bridging the Gap Between HPC and IaaS

    With the advent of virtualization and Infrastructure-as-a-Service (IaaS), the broader scientific computing community is considering the use of clouds for their technical computing needs. This is due to the relative scalability, ease of use, advanced user environment customization abilities, and the many novel computing paradigms available for data-intensive applications. However,...

    Provided By Indiana University

  • White Papers // Jul 2012

    Design of a Dynamic Provisioning System for a Federated Cloud and Bare-Metal Environment

    The authors present the design of a dynamic provisioning system that is able to manage the resources of a federated cloud environment by focusing on their utilization. With their framework, it is not only possible to allocate resources at a particular time to a specific Infrastructure as a service framework,...

    Provided By Indiana University

  • White Papers // Jun 2012

    My Privacy Policy: Exploring End-User Specification of Free-Form Location Access Rules

    The increasing inclusion of location and other contextual information in social media applications requires users to be more aware of what their location disclosures reveal. As such, it is important to consider whether existing access-control mechanisms for managing location sharing meet the needs of today's users. The authors report on...

    Provided By Indiana University

  • White Papers // Jun 2012

    Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce

    Recent advances in data intensive computing for science discovery are fueling a dramatic growth in the use of data-intensive iterative computations. The utility computing model introduced by cloud computing, combined with the rich set of cloud infrastructure and storage services, offers a very attractive environment in which scientists can perform...

    Provided By Indiana University

  • White Papers // Jun 2012

    Large Scale Classification Based on Combination of Parallel SVM and Interpolative MDS

    With the development of information technology, the scale of electronic data becomes larger and larger. Data deluge occurs in many kinds of application fields. How to explore the useful information from the large scale dataset is a very important issue. Data mining is just to take on the task. Support...

    Provided By Indiana University

  • White Papers // Jun 2012

    Study on Parallel SVM Based on MapReduce

    Support Vector Machines (SVM) is powerful classification and regression tools. They have been widely studied by many scholars and applied in many kinds of practical fields. But their compute and storage requirements increase rapidly with the number of training vectors, putting many problems of practical interest out of their reach....

    Provided By Indiana University

  • White Papers // Jun 2012

    A Parallel Clustering Method Study Based on MapReduce

    Clustering is considered as the most important task in data mining. The goal of clustering is to determine the intrinsic grouping in a set of unlabeled data. Many practical application problems should be solved with clustering method. It has been widely applied into all kinds of areas, such marketing, biology,...

    Provided By Indiana University

  • White Papers // May 2012

    Improving Resource Utilization in MapReduce

    MapReduce has been adopted widely in both academia and industry to run large-scale data parallel applications. In MapReduce, each slave node hosts a number of task slots to which tasks can be assigned. So they limit the maximum number of tasks that can execute concurrently on each node. When all...

    Provided By Indiana University

  • White Papers // May 2012

    Exploitable Redirects on the Web: Identification, Prevalence, and Defense

    Web sites on the Internet often use redirection. Unfortunately, without additional security, many of the redirection links can be manipulated and abused to mask phishing attacks. In this paper, the authors prescribe a set of heuristics to identify redirects that can be exploited. Using these heuristics, they examine the prevalence...

    Provided By Indiana University

  • White Papers // May 2012

    Hiding in Plain Sight: Exploiting Broadcast for Practical Host Anonymity

    Users are being tracked on the Internet more than ever before as Web sites and search engines gather pieces of information sufficient to identify and study their behavior. While many existing schemes provide strong anonymity, they are inappropriate when high bandwidth and low latency are required. In this paper, the...

    Provided By Indiana University

  • White Papers // May 2012

    Sensitive Data Requests: Do Sites Ask Correctly?

    The Web offers unprecedented opportunities for ecommerce. The security of such transactions is commonly provided through the use of the Transport Layer Security (TLS) protocol, the standards track successor of the Secure Sockets Layer (SSL) protocol. TLS allows clients to verify the authenticity of the servers they access and ensures...

    Provided By Indiana University

  • White Papers // May 2012

    Trust Management Framework for Social Networks

    Inspired by the similarities between human trust and physical measurements, the authors propose a new system of trust metrics, composed by impression and confidence, which captures both human trust level and its uncertainty, while being intuitive and user friendly. Furthermore, based on measurement error propagation theory, they propose an evaluation...

    Provided By Indiana University

  • White Papers // May 2012

    Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures

    Cloud computing has become an important driver for delivering Infrastructure as a Service (IaaS) to users with on-demand requests for customized environments and sophisticated software stacks. Within the FutureGrid (FG) project, the authors offer different IaaS frameworks as well as high performance computing infrastructures by allowing users to explore them...

    Provided By Indiana University

  • White Papers // May 2012

    Comparison of Multiple Cloud Frameworks

    Today, many cloud Infrastructure as a Service (IaaS) frameworks exist. Users, developers, and administrators have to make a decision about which environment is best suited for them. Unfortunately, the comparison of such frameworks is difficult because either users do not have access to all of them or they are comparing...

    Provided By Indiana University

  • White Papers // May 2012

    Accelerating Data Transfers In Iterative MapReduce Framework

    MapReduce has become popular in recent years due to its attractive programming interface with scalability and reliability in processing big data problems. Recently several iterative MapReduce frameworks including their Twister system have emerged to improve the performance on many important data mining applications. Utilizing local memory on each compute node...

    Provided By Indiana University

  • White Papers // Mar 2012

    Seed and Grow: An Attack Against Anonymized Social Networks

    Digital traces left by a user of an online social networking service can be abused by a malicious party to compromise the person's privacy. This is exacerbated by the increasing overlap in user-bases among various services. In this paper, the authors propose an algorithm, Seed and Grow, to identify users...

    Provided By Indiana University

  • White Papers // Mar 2012

    Qualitative Comparison of Multiple Cloud Frameworks

    Many cloud infrastructure as a service frameworks exist and users, developers and administrators have to make a decision, which environment is best suited for them. Unfortunately, the comparison of such frameworks is difficult as users may not have access to all of them, or are comparing the performance of such...

    Provided By Indiana University

  • White Papers // Mar 2012

    Towards Cloud Deployments Using FutureGrid

    In this paper, the authors briefly outline some differences between IaaS frameworks Eucalyptus, OpenNebula, OpenStack and Nimbus. They provide also an overview how platforms such as Amazon, Azure, and Google provide additional services to provide more convenient platforms for its users. They then present an overview of what FutureGrid currently...

    Provided By Indiana University

  • White Papers // Mar 2012

    Synchronization Level Specification and Matching of Software Components

    Generating distributed systems from independently developed and deployed components is a promising alternative for today's dynamic and interconnected world. If such components have to collaborate with each other effectively, they must indicate their contracts explicitly. Traditionally, only the syntactical interfaces are depicted for such components. Recent attempts have argued for...

    Provided By Indiana University

  • White Papers // Feb 2012

    GoDEL: A Multidirectional Dataflow Execution Model for Large-Scale Computing

    As the emerging trends in hardware architecture guided by performance, power efficiency and complexity drive one towards massive processor parallelism; there has been a renewed interest in dataflow models for large-scale computing. Dataflow programming models, being declarative in nature, lead to improved programmability at scale by implicitly managing the computation...

    Provided By Indiana University

  • White Papers // Mar 2011

    Measured Characteristics of FutureGrid Clouds for Scalable Collaborative Sensor-Centric Grid Applications

    The emergence of cloud technology has raised a renewed emphasis on the issue of scalable on-demand computing. Cloud back-end support of small devices such as sensors and mobile phones is one important application. The authors report the preliminary study of measured characteristics of distributed cloud computing infrastructure for collaboration of...

    Provided By Indiana University

  • White Papers // Mar 2011

    Toward Securing Sensor Clouds

    The authors aim to secure smart sensor networks, where computationally powerful sensing devices such as smartphones or cognitive radios interact with the cloud. In previous work, they have proposed a large-scale brokering framework, and they are researching several facets of securing sensors in the context of this framework. In this...

    Provided By Indiana University

  • White Papers // Feb 2011

    A Hierarchical Framework for Cross-Domain MapReduce Execution

    The MapReduce programming model provides an easy way to execute pleasantly parallel applications. Many data-intensive life science applications fit this programming model and benefit from the scalability that can be delivered using this model. One such application is AutoDock, which consists of a suite of automated tools for predicting the...

    Provided By Indiana University

  • White Papers // May 2011

    FutureGrid Image Repository: A Generic Catalog and Storage System for Heterogeneous Virtual Machine Images

    FutureGrid (FG) is an experimental, high-performance testbed that supports HPC, cloud and grid computing experiments for both application and computer scientist. FutureGrid includes the use of virtualization technology to allow the support of a wide range of operating systems in order to include a testbed for various cloud computing infrastructure...

    Provided By Indiana University

  • White Papers // May 2011

    Iterative MapReduce for Azure Cloud

    MapReduce distributed data processing architecture has become the de-facto data-intensive analysis mechanism in compute clouds and in commodity clusters, mainly due to its excellent fault tolerance features, scalability, ease of use and the simpler programming model. MapReduceRoles for Azure (MR4Azure) is a decentralized, dynamically scalable MapReduce runtime the authors developed...

    Provided By Indiana University

  • White Papers // Mar 2011

    Toward a Modular and Efficient Distribution for Web Service Handlers

    Over the last few decades, distributed systems have demonstrated architectural evolvement. One recent evolutionary step is Service-Oriented Architecture (SOA). The SOA model is perfectly engendered in Web services, which provide software platforms to build applications as services. Web services utilize supportive capabilities such as security, reliability, and monitoring. These capabilities...

    Provided By Indiana University

  • White Papers // Oct 2010

    Pythia: A Privacy Aware, Peer-to-Peer Network for Social Search

    Social search systems such as Aardvark and Facebook Questions allow users to pose questions to their social network in real time. Upon receiving a question on a particular topic, Aardvark for example forwards the question to available "Experts" close to the querier in the social network to facilitate immediate, relevant...

    Provided By Indiana University

  • White Papers // Jan 2011

    Schema-Independent and Schema-Friendly Scientific Metadata Management

    Computational science is creating a deluge of data, and being able to reuse this data requires detailed descriptive metadata. Scientific communities have developed detailed metadata schemas to describe data products, but this metadata must be captured as workflows execute. The authors' research has identified characteristics of scientific schemas that can...

    Provided By Indiana University

  • White Papers // Apr 2011

    Sigiri: Uniform Abstraction for Large-Scale Compute Resource Interactions

    Scientists who conduct mid-range computationally heavy modeling and analysis often scramble to find sufficient computational resources to test and run their codes. The science they carry out is not petascale or even terascale science but the computational needs often go beyond what can be satisfied by their university. With the...

    Provided By Indiana University

  • White Papers // Sep 2009

    Inducing Relatedness Graphs for Data Integration

    In this paper, the authors present the AbsMatcher system for schema matching which uses a graph based approach. AbsMatcher creates a graph of related attributes within a schema, mines similarity between attributes in different schemas, and then combines all information using the ABSURDIST graph matching algorithm. The focus of this...

    Provided By Indiana University

  • White Papers // Aug 2009

    Sigiri: Towards A Light-Weight Job Management System for Large Scale Systems

    e-Science applications are often compute and data intensive, requiring large-scale compute systems for execution. Large-scale systems, however, support a variety of resource management interfaces that an end user must adapt to for compute job submission and management. Grid middleware solutions abstract these heterogeneous resource managers and offer a single unified...

    Provided By Indiana University

  • White Papers // Jul 2009

    Modularizing Data Mining: A Case Study Framework

    This paper presents the fundamental concepts underpinning MoLS, a framework for exploring and applying many variations of algorithms for one datamining problem: mining a database relation for Approximate Functional Dependencies (AFDs). An engineering approach to AFD mining suggests a framework which can be customized with plug-ins, yielding targetability and improved...

    Provided By Indiana University

  • White Papers // Feb 2009

    ORCS: An Oblivious Routing Congestion Simulator

    Bisection Bandwidth, as defined by Hennessy and Patterson in as the bandwidth between the two equal sized halves of the network for the worst case partition, is widely used as a theoretical model for network performance. This model gives an upper bound for the minimal bisection bandwidth, as experienced by...

    Provided By Indiana University

  • White Papers // Jan 2009

    Fixing Probe for Multi-Threaded MPI Applications

    MPI's message-probing operations, MPI Probe and MPI Iprobe, are useful in MPI applications that do not know a priori what messages they will receive or how much data those messages will contain. Such applications often have irregular, data-driven communication patterns or deal with data structures that require serialization for transmission....

    Provided By Indiana University

  • White Papers // Jan 2009

    Workload-Aware Trie Indexes for XML

    Well-designed indexes can dramatically improve query performance. In the context of XML, structural indexes have proven to be particularly effective in supporting efficient XPath queries - the core of all XML queries, by capturing the structural correlation between data components in an XML document. The duality of space and performance...

    Provided By Indiana University

  • White Papers // Oct 2008

    A Survey of Distributed Workflow Characteristics and Resource Requirements

    Workflows have been used to model repeatable tasks or operations in a number of different industries including manufacturing and software. In recent years, workflows are increasingly used in distributed resources and web services environments through resource models such as grid and cloud computing. These workflows often have disparate requirements and...

    Provided By Indiana University

  • White Papers // Oct 2008

    Towards Automatic Reverse Engineering of Software Security Configurations

    The specifications of an application's security configuration are crucial for understanding its security policies, which can be very helpful in security-related contexts such as misconfiguration detection. Such specifications, however, are often ill-documented, or even close because of the increasing use of graphic user interfaces to set program options. In this...

    Provided By Indiana University

  • White Papers // Jan 2010

    Electronic Data Interchange and Enterprise Resource Planning Technology in Supply-Chain Contracts

    The authors examine a model of Information-Sharing contracting with a purchaser that desires to acquire as much of a product as possible at as low a price as possible. The supplier in their model has private information about its limited capacity. They compare two models of information. In the first,...

    Provided By Indiana University

  • White Papers // Apr 2011

    A Study of RDB-Based RDF Data Management Techniques

    RDF has gained great interest in both academia and industry as an important language to describe graph data. Several approaches have been proposed for storing and querying RDF data efficiently; each work best under certain circumstances, e.g. certain types of data and/or queries. However, there was lack of a thorough...

    Provided By Indiana University

  • White Papers // Nov 2012

    FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments

    Scientific applications are increasingly using cloud resources for their data analysis workflows. However, managing data effectively and efficiently over these cloud resources is challenging due to the myriad storage choices with different performance, cost trade-offs, complex application choices and complexity associated with elasticity, failure rates in these environments. The explosion...

    Provided By Indiana University

  • White Papers // Nov 2011

    Large-Scale Privacy-Preserving Mapping of Human Genomic Sequences on Hybrid Clouds

    An operation preceding most human DNA analyses is read mapping, which aligns millions of short sequences (called reads) to a reference genome. This step involves an enormous amount of computation (evaluating edit distances for millions upon billions of sequence pairs) and thus needs to be outsourced to low-cost commercial clouds....

    Provided By Indiana University

  • White Papers // May 2012

    Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures

    Cloud computing has become an important driver for delivering Infrastructure as a Service (IaaS) to users with on-demand requests for customized environments and sophisticated software stacks. Within the FutureGrid (FG) project, the authors offer different IaaS frameworks as well as high performance computing infrastructures by allowing users to explore them...

    Provided By Indiana University

  • White Papers // May 2012

    Comparison of Multiple Cloud Frameworks

    Today, many cloud Infrastructure as a Service (IaaS) frameworks exist. Users, developers, and administrators have to make a decision about which environment is best suited for them. Unfortunately, the comparison of such frameworks is difficult because either users do not have access to all of them or they are comparing...

    Provided By Indiana University

  • White Papers // Jul 2012

    Design of a Dynamic Provisioning System for a Federated Cloud and Bare-Metal Environment

    The authors present the design of a dynamic provisioning system that is able to manage the resources of a federated cloud environment by focusing on their utilization. With their framework, it is not only possible to allocate resources at a particular time to a specific Infrastructure as a service framework,...

    Provided By Indiana University

  • White Papers // Aug 2012

    The Design and Implementation of a Multi-Level Content-Addressable Checkpoint File System

    Long-running HPC applications guard against node failures by writing checkpoints to parallel file systems. Writing these checkpoints with petascale class machines has proven difficult and the increased concurrency demands of exascale computing will exacerbate this problem. To meet check-pointing demands and sustain application-perceived throughput at exascale, multi-tiered hierarchical storage architectures...

    Provided By Indiana University

  • White Papers // Feb 2012

    GoDEL: A Multidirectional Dataflow Execution Model for Large-Scale Computing

    As the emerging trends in hardware architecture guided by performance, power efficiency and complexity drive one towards massive processor parallelism; there has been a renewed interest in dataflow models for large-scale computing. Dataflow programming models, being declarative in nature, lead to improved programmability at scale by implicitly managing the computation...

    Provided By Indiana University

  • White Papers // Dec 2010

    Trade Costs And Economic Development

    The authors test the hypothesis of the circular causality between trade costs and degree of economic development using data on Italian provinces. Using different methods to control for multilateral resistance, they apply a gravity equation to estimate sectoral exports to 188 countries over the period 1995-2004. Provincial trade costs are...

    Provided By Indiana University

  • White Papers // Aug 2010

    The Gravity Equation In International Economics And International Business Research: A Note

    This paper discusses methodological issues and practical concerns for international economists and international business scholars who apply the gravity equation in their research. The most important message of the note is that this equation should correct for multilateral resistance factors. The authors propose a relatively low-cost specification and estimation to...

    Provided By Indiana University

  • White Papers // Jan 2010

    Environmental Inspection Proclivity And State Manufacturing Growth: The US Experience From The 1990s

    In this paper, the authors construct a ranking of states based on their proclivity to inspect facilities for environmental compliance. The measure utilizes state-level inspections data supplied by the US Environmental Protection Agency. After developing the ranking, they use it to predict state-level growth in manufacturing establishments. In doing so,...

    Provided By Indiana University

  • White Papers // Jan 2011

    Do Minimum Quality Standards Improve Quality Of Care? A Case Study Of The Nursing Home Industry

    This paper estimates the impact of minimum staffing requirements on the nursing home market using a unique national panel over the 1996-2005 period. This paper reveals that, given a half-hour increase in the minimum nursing hours per resident day for licensed nurses, quality of patient care increases by 25 percent....

    Provided By Indiana University

  • White Papers // Jun 2009

    International Monies, Special Drawing Rights, And Supernational Money

    The current International Monetary System (IMS) is fragile because the dollar standard is rapidly deteriorating. The dual role the dollar as the dominant international money and national money cannot be easily reconciled because the US monetary authorities face a conflict between pursuing domestic objectives of employment and inflation and maintaining...

    Provided By Indiana University

  • White Papers // Sep 2009

    Implications Of Grade Inflation: Knowledge Illusion And Economic Inefficiency In The Knowledge Market

    In this paper, the authors adopt the neoclassical model of consumer choice and view students as a utility maximizer to investigate two implied issues caused by grade inflation - knowledge illusion and economic inefficiency in the knowledge market. These issues are important because they negatively impact the quality of higher...

    Provided By Indiana University

  • White Papers // Feb 2009

    Human Capital, Returning Migration And Rural Entrepreneurship In China

    This paper provides a study of internal rural urban migration and returning migration in China. Since the economy reform in the early 1980s, about 130 million of rural residents move to metropolitan area either temporarily or permanently - known as the "Floating population". Migrant workers have powered China's economic success...

    Provided By Indiana University

  • White Papers // Apr 2010

    Teaching Collaborative Leadership: Ideas And Lessons For The Field

    This paper describes and analyzes a new approach to teaching collaborative leadership to masters of public administration students at the Maxwell School of Syracuse University. The three year old course teaches students how to design a collaborative network with the necessary players at the table; structure governance for a collaborative...

    Provided By Indiana University

  • White Papers // Aug 2010

    Personalized Modeling for SaaS Based on Extended WSCL

    Software as a Service (SaaS) is an emerging software framework in which business data and logic typically integrate with other applications. It requires a unified subscriber to describe SaaS to make for easy integration; however, SaaS provides services to different tenants by running only one instance. In order to satisfy...

    Provided By Indiana University

  • White Papers // Aug 2011

    Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure

    Recent advancements in data-intensive computing for science discovery are fueling a dramatic growth in use of data-intensive iterative computations. The utility computing model introduced by cloud computing combined with the rich set of cloud infrastructure services offers a very attractive environment for scientists to perform such data intensive computations. The...

    Provided By Indiana University

  • White Papers // Nov 2010

    A Survery of Open-Source Cloud Infrastructure Using FutureGrid Testbed

    Cloud infrastructure management is now an emerging problem in cloud computing. Open source projects such as Nimbus, Eucalyptus and OpenNebula provide the great opportunity for industries, researchers and scientists to understand the modern cloud infrastructure model. Here, the authors' project aims to survey among these three open source cloud infrastructure...

    Provided By Indiana University

  • White Papers // Mar 2011

    Spectrum Sensing Methods and Dynamic Spectrum Sharing in Cognitive Radio Networks: A Survey

    Dynamic spectrum access and Cognitive Radio (CR) are emerging technologies to utilize the scarce frequency spectrum in an efficient and opportunistic manner. They have been receiving tremendous amount of well-deserved attention in the literature. One of the challenging problems in dynamic spectrum access for cognitive radios is to sense the...

    Provided By Indiana University

  • White Papers // Jun 2011

    Exploring The Impact Of Professionalism On Campaign Contributions To Male And Female State Legislative Candidates

    As institutions, state legislatures have undergone a wide variety of changes over time ranging from enhanced member diversity to the introduction of term limits in some states. Perhaps most importantly, state legislatures have slowly become more professionalized, albeit the rate of this transformation has been uneven across the states. Nevertheless,...

    Provided By Indiana University

  • White Papers // Jan 2011

    Stealth Attacks on Vehicular Wireless Networks

    In this paper, the authors discuss various issues related to so-called stealth attacks. They elaborate on stealth attacks in the context of three common types of wireless networks, namely ad hoc networks, hybrid networks, and sensor networks. They consider the relevance of these settings to various vehicular environments; e.g., emergency...

    Provided By Indiana University