Wright State Athletics

Displaying 1-8 of 8 results

  • White Papers // Feb 2013

    Secure Computation of Top-K Eigenvectors for SharedMatrices in the Cloud

    With the development of sensor network, mobile computing, and web applications, data are now collected from many distributed sources to form big datasets. Such datasets can be hosted in the cloud to achieve economical processing. However, these data might be highly sensitive requiring secure storage and processing. The authors envision...

    Provided By Wright State Athletics

  • White Papers // Dec 2012

    Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation

    With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality...

    Provided By Wright State Athletics

  • White Papers // Nov 2012

    Secure MapReduce Power Iteration in the Cloud

    With the development and wide deployment of web services, mobile applications, and sensor networks, data are now collected from many distributed sources to form big datasets. This paradigm poses a number of challenges on data storage and analysis. Typical data collectors have limited capacity to store and process large volumes...

    Provided By Wright State Athletics

  • White Papers // May 2012

    Cognitive Radio Network Interference Modeling With Shadowing Effect Via Scaled Student~s T Distribution

    In recently developed Cognitive Radio Network (CRN), the spectrum sharing leads to many uncertainties associated with the aggregate interference in the network. It is highly desired to build an interference model for such cognitive radio networks to express such uncertainties to quantify the effect of the interference on the primary...

    Provided By Wright State Athletics

  • White Papers // May 2012

    Blind Cyclostationary Carrier Frequency and Symbol Rate Estimation for Underwater Acoustic Communication

    In this paper, the authors propose a new method for blind carrier frequency and symbol rate estimation based on second order cyclostationary features for underwater acoustic communication. Followed by a coarse carrier frequency and symbol rate estimation via spectral analysis, a cyclostationary based estimation algorithm is developed to provide high...

    Provided By Wright State Athletics

  • White Papers // Oct 2011

    A Domain Specific Language for Enterprise Grade Cloud-Mobile Hybrid Applications

    Cloud computing has changed the technology landscape by offering flexible and economical computing resources to the masses. However, vendor lock-in makes the migration of applications and data across clouds an expensive proposition. The lock-in is especially serious when considering the new technology trend of combining cloud with mobile devices. In...

    Provided By Wright State Athletics

  • White Papers // Apr 2011

    Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds

    Running MapReduce programs in the public cloud introduces the important problem: how to optimize resource provisioning to minimize the financial charge for a specific job? In this paper, the authors study the whole process of MapReduce processing and build up a cost function that explicitly models the relationship between the...

    Provided By Wright State Athletics

  • White Papers // Dec 2010

    Semantics Centric Solutions for Application and Data Portability in Cloud Computing

    Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of Cloud computing. The Cloud computing landscape, however, is plagued by many issues...

    Provided By Wright State Athletics

  • White Papers // Feb 2013

    Secure Computation of Top-K Eigenvectors for SharedMatrices in the Cloud

    With the development of sensor network, mobile computing, and web applications, data are now collected from many distributed sources to form big datasets. Such datasets can be hosted in the cloud to achieve economical processing. However, these data might be highly sensitive requiring secure storage and processing. The authors envision...

    Provided By Wright State Athletics

  • White Papers // Apr 2011

    Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds

    Running MapReduce programs in the public cloud introduces the important problem: how to optimize resource provisioning to minimize the financial charge for a specific job? In this paper, the authors study the whole process of MapReduce processing and build up a cost function that explicitly models the relationship between the...

    Provided By Wright State Athletics

  • White Papers // Dec 2010

    Semantics Centric Solutions for Application and Data Portability in Cloud Computing

    Cloud computing has become one of the key considerations both in academia and industry. Cheap, seemingly unlimited computing resources that can be allocated almost instantaneously and pay-as-you-go pricing schemes are some of the reasons for the success of Cloud computing. The Cloud computing landscape, however, is plagued by many issues...

    Provided By Wright State Athletics

  • White Papers // Oct 2011

    A Domain Specific Language for Enterprise Grade Cloud-Mobile Hybrid Applications

    Cloud computing has changed the technology landscape by offering flexible and economical computing resources to the masses. However, vendor lock-in makes the migration of applications and data across clouds an expensive proposition. The lock-in is especially serious when considering the new technology trend of combining cloud with mobile devices. In...

    Provided By Wright State Athletics

  • White Papers // May 2012

    Cognitive Radio Network Interference Modeling With Shadowing Effect Via Scaled Student~s T Distribution

    In recently developed Cognitive Radio Network (CRN), the spectrum sharing leads to many uncertainties associated with the aggregate interference in the network. It is highly desired to build an interference model for such cognitive radio networks to express such uncertainties to quantify the effect of the interference on the primary...

    Provided By Wright State Athletics

  • White Papers // May 2012

    Blind Cyclostationary Carrier Frequency and Symbol Rate Estimation for Underwater Acoustic Communication

    In this paper, the authors propose a new method for blind carrier frequency and symbol rate estimation based on second order cyclostationary features for underwater acoustic communication. Followed by a coarse carrier frequency and symbol rate estimation via spectral analysis, a cyclostationary based estimation algorithm is developed to provide high...

    Provided By Wright State Athletics

  • White Papers // Dec 2012

    Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation

    With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality...

    Provided By Wright State Athletics

  • White Papers // Nov 2012

    Secure MapReduce Power Iteration in the Cloud

    With the development and wide deployment of web services, mobile applications, and sensor networks, data are now collected from many distributed sources to form big datasets. This paradigm poses a number of challenges on data storage and analysis. Typical data collectors have limited capacity to store and process large volumes...

    Provided By Wright State Athletics