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Industrial use of Model Driven Engineering techniques has emphasized the need for efficiently store, access, and transform very large models. While scalable persistence frameworks, typically based on some kind of NoSQL database, have been proposed to solve the model storage issue, the same level of performance improvement has not been achieved for the model transformation problem. Existing model transformation...
Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval. Mobile devices can capture an image with its camera and pass it to the retrieval systems to get the information needed. This system, called Mobile Content-Based Image Retrieval (MCBIR), generally consists of two parts:...
Model-based software development promises improvements in terms of quality and cost by raising the abstraction level of the development from code to models, but also requires mature techniques and tools. Although Eclipse Modelling Framework (EMF) introduces a default persistence mechanism for models, namely XMI, its usage is often limited as model size increases. To overcome this limitation, during...
Architecture of database servers is one of the important parameters in the performance of web applications. In this paper, a model is proposed for guiding Postgre SQL database server sizing for concurrent users. Coloured Petri-nets are chosen to represent the model that brings out need to change the deployment architecture when the current architecture may not suffice. The focus of the proposed model...
Manually developing analytic performance models of operational systems can be challenging, time consuming, and costly. This paper describes a method that uses system logs and configuration files to automatically derive analytic performance models of operational systems. The method described here automatically determines: (1) the system software servers, (2) the system devices, (3) the deployment of...
In companies from retail banking or telecommunication sector are continually developed information systems (IS). The core of these IS resides in efficient and elegant usage of database tools. In this paper we present a new approach of analyzing database objects with DB Object Mapper Tool that is being developed for mapping objects from large and complex database systems. The term “object” in this...
This paper presents three alternatives to database adequacy aiming at on-line dynamic security assessment. Usually, on-line data available at the control centers are not prepared to be directly used in dynamic simulations due to discrepancies between power system data models used in EMS' databases and power system analysis software (off-line). Challenges and requirements of such adequacy are initially...
This paper presents the architecture and modeling approach of a Matlab-based toolbox for developing and testing home energy management (HEM) algorithms under a number of typical operation conditions. This toolbox serves as a developer platform that includes a graphical user interface, a model database, a computational engine, and an input-output database. The model database consists of home appliance...
While Model Driven Engineering is gaining more industrial interest, scalability issues when managing large models have become a major problem in current modeling frameworks. Scalable model persistence has been achieved by using NoSQL backends for model storage, but existing modeling framework APIs have not evolved accordingly, limiting NoSQL query performance benefits. In this paper we present the...
Graph database is revealed as alternative of traditional relation database for the reason that graph is flexible and self-explaining structure, which can cope with any kind of complex structure. Recently, graph database is extensively used to represent specially multi linked data of web, RDF data, social network, chemical structure, gene, network structure, publication links, and many more. This research...
In data centers, many tasks (services, virtual machines or computational jobs) share a single physical machine. We propose a new resource management model for such colocation. Our model uses two parameters of a task -- its size and its type -- to characterize how a task influences the performance of the other tasks allocated on the same machine. As typically a data~center hosts many similar, recurring...
This paper aims at the development of a cloud services provisioning framework by developing a dynamic priority job scheduler cum load-balancer for the cloud. The main motive of this paper is to provide a means of managing the job requests in a flexible and cost-effective way, both for the customer and the cloud service provider. In order to make the cloud scalable and adaptable to the changing needs...
In recent years, the research on the resources sharing has made great progress in education area. But it is far from reaching the needs of teachers and students because of the great investment, poor management and service, low intelligence and poor scalability of present Basic Education Resources Sharing Model. With full use of the advantages of cloud computing, such as super computing ability, high...
This paper presents a trust management model based on multi-agent and trust evaluation. It adopts the centralized distribution management mode and sets up multiple third-party agents in the cloud, furthermore, it can manage the users and cloud services by the collaboration of the agents effectively. By using multiple third-party agents, it can reduce the single-agent's pressure of computation, storage...
With the development of cloud computing technics, an increasing number of applications prefer to be deployed in cloud. Load balancing becomes the key technicfor cloud provider to control the resources and cost. But using load balancing with real time data cannot react in time towards workload peak or valley. Thus, workload forecasting is presented to let the cloud provider to get ready for a possible...
One of the challenges facing the researcher in the field of mobile ad-hoc networks is estimation of the mathematical models effectiveness. Due to very high complexity of network models consisted of large numbers of nodes moving with arbitrary speed, simulating using discrete-event systems has become the main tool to calculate the metrics of the developed models compared with the state of art solutions...
Cloud computing offers flexible IT solutions that suites the growingly dynamic organizational demands. Different types of cloud deployment models offer distinctive solutions based on the security requirements of the organization. Hybrid clouds are considered the prominent deployment model that offers the extended flexibility of public cloud resources and the security of private clouds. This paper...
The Rover Sequencing and Visualization Program (RSVP) is a tool suite used for building command sequences for the Mars Science Laboratory rover Curiosity. RSVP was previously used for other missions and for in-house research projects and proposal efforts. RSVP has undergone extensive modifications and enhancements over previous versions in order to support more challenging requirements and to make...
The knowledge-based simulation experiment data integrative analysis tool that utilizes the knowledge model of sample data extraction and the database of analysis project is designed to implement the integrative analysis operation including simulation experiment data import, sample data extraction, data analysis, simulation system characters appraisement and the generation of analysis results report...
As a distributed simulation standard, the high level architecture (HLA) is used to facilitate the interoperability and reuse of multiple federates, rarely applied in the high-performance parallel simulation. This paper, however, shows a parallel simulation running on a 10 teraflops cluster system, which is based on the master-slave programming model, developed in the use of runtime infrastructure...
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