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Physical Sciences and Mathematics Commons™
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- Keyword
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- NoSQL (3)
- Big Data (2)
- Cloud computing (2)
- Autonomic database (1)
- Autonomic computing (1)
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- Big data (1)
- Cloud Computing (1)
- Data Model Design (1)
- Data management (1)
- Disaster Data Management (1)
- Disaster management (1)
- Distributed storage (1)
- Knowledge as a Service (1)
- Knowledge as a Service (KaaS) (1)
- NewSQL (1)
- Ontology (1)
- Ontology-based Model (1)
- Self-configuration (1)
- Self-healing (1)
- Self-optimization (1)
- Self-protection (1)
- Semantic Integration (1)
- Simulation Model (1)
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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava
Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava
Katarina Grolinger
Ontologies have been used in a variety of domains for multiple purposes such as establishing common terminology, organizing domain knowledge and describing domain in a machine-readable form. Moreover, ontologies are the foundation of the Semantic Web and often semantic integration is achieved using ontology. Even though simulation demonstrates a number of similar characteristics to Semantic Web or semantic integration, including heterogeneity in the simulation domain, representation and semantics, the application of ontology in the simulation domain is still in its infancy. This paper proposes an ontology-based representation of simulation models. The goal of this research is to facilitate comparison among …
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Knowledge As A Service Framework For Disaster Data Management, Katarina Grolinger, Emna Mezghani, Miriam Capretz, Ernesto Exposito
Katarina Grolinger
Each year, a number of natural disasters strike across the globe, killing hundreds and causing billions of dollars in property and infrastructure damage. Minimizing the impact of disasters is imperative in today’s society. As the capabilities of software and hardware evolve, so does the role of information and communication technology in disaster mitigation, preparation, response, and recovery. A large quantity of disaster-related data is available, including response plans, records of previous incidents, simulation data, social media data, and Web sites. However, current data management solutions offer few or no integration capabilities. Moreover, recent advances in cloud computing, big data, and …
Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz
Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz
Katarina Grolinger
In recent years, Database Management Systems (DBMS) have increased significantly in size and complexity, increasing the extent to which database administration is a time-consuming and expensive task. Database Administrator (DBA) expenses have become a significant part of the total cost of ownership. This results in the need to develop Autonomous Database Management systems (ADBMS) that would manage themselves without human intervention. Accordingly, this paper evaluates the current state of autonomous database systems and identifies gaps and challenges in the achievement of fully autonomic databases. In addition to highlighting technical challenges and gaps, we identify one human factor, gaining the trust …
Disaster Data Management In Cloud Environments, Katarina Grolinger
Disaster Data Management In Cloud Environments, Katarina Grolinger
Katarina Grolinger
Facilitating decision-making in a vital discipline such as disaster management requires information gathering, sharing, and integration on a global scale and across governments, industries, communities, and academia. A large quantity of immensely heterogeneous disaster-related data is available; however, current data management solutions offer few or no integration capabilities and limited potential for collaboration. Moreover, recent advances in cloud computing, Big Data, and NoSQL have opened the door for new solutions in disaster data management. In this thesis, a Knowledge as a Service (KaaS) framework is proposed for disaster cloud data management (Disaster-CDM) with the objectives of 1) facilitating information gathering …
Data Management In Cloud Environments: Nosql And Newsql Data Stores, Katarina Grolinger, Wilson A. Higashino, Abhinav Tiwari, Miriam Am Capretz
Data Management In Cloud Environments: Nosql And Newsql Data Stores, Katarina Grolinger, Wilson A. Higashino, Abhinav Tiwari, Miriam Am Capretz
Katarina Grolinger
: Advances in Web technology and the proliferation of mobile devices and sensors connected to the Internet have resulted in immense processing and storage requirements. Cloud computing has emerged as a paradigm that promises to meet these requirements. This work focuses on the storage aspect of cloud computing, specifically on data management in cloud environments. Traditional relational databases were designed in a different hardware and software era and are facing challenges in meeting the performance and scale requirements of Big Data. NoSQL and NewSQL data stores present themselves as alternatives that can handle huge volume of data. Because of the …