GridSim Overview

The GridSim is a Java based discrete event simulation package, supports modeling and simulation of a wide range of heterogeneous resources, such as single or multiprocessors, shared and distributed memory machines such as PCs, workstations, Shared memory Multiprocessors (SMP), and clusters with different capabilities and configurations. It can be used for modeling and simulation of application scheduling on various classes of parallel and distributed computing systems such as clusters, Grids, and P2P networks. The toolkit provides concurrent entities for creation of application tasks, mapping of tasks to resources and their management. In Grid Computing applications where resources are spread over dispersed locations and run by different organizations with differing policies, it is important that the user is given a guarantee that their tasks be completed, and completed within specific guidelines that the user may wish to request. To achieve this, agreements need to be made between the resource providers and the users themselves, protecting and outlining the requirements, policies and rights of both parties. Simulation has been used extensively as a way to evaluate and compare scheduling strategies as simulation experiments are configurable, repeatable, and generally fast. GridSim is a famous Java-based grid simulator with a clear focus on Grid…

Support Vector Machine (SVM)

In recent years, the Artificial Neural Networks (ANNs) have been playing a significant role for variants of data mining tasks which is extensively popular and active research area among the researchers. To intend of neural network is to mimic the human ability to acclimatize to varying circumstances and the current environment. The subtle use of Support Vector Machine (SVM) in various data mining applications makes it an obligatory tool in the development of products that have implications for the human society. SVMs, being computationally powerful tools for supervised learning, are widely used in classification, clustering and regression problems. SVMs have been successfully applied to a variety of real-world problems like particle identification, face recognition, text categorization, bioinformatics, civil engineering and electrical engineering etc. SVM have attracted a great deal of attention in the last decade and actively applied to various domains applications. SVMs are typically used for learning classification, regression or ranking function. SVM are based on statistical learning theory and structural risk minimization principal and have the aim of determining the location of decision boundaries also known as hyperplane that produce the optimal separation of classes. Maximizing the margin and thereby creating the largest possible distance between the separating…

Wireless Sensor Network
Networking , Technology & Science / September 1, 2017

Wireless Sensor Network introduction Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. In the coming years, as advances in micro-fabrication technology allow the cost of manufacturing sensor nodes to continue to drop, increasing deployments of wireless sensor networks are expected, with the networks eventually growing to large numbers of nodes. Wireless Sensor Networks (WSNs) have been widely considered as one of the most important technologies for the twenty – first century. Enabled by recent advances in microelectronic mechanical systems (MEMS) and wireless communication technologies, tiny, cheap, and smart sensors deployed in a physical area and networked through wireless links and the Internet provide unprecedented opportunities for a variety of civilian and military applications, for example, environmental monitoring, battle field surveillance, and industry process control. Definition Wireless Sensor Networks (WSNs) can be defined as a self-configured and infrastructureless wireless networks to monitor physical…

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