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With the technology improvements, managing a large amount of multimedia objects such as audio, video, picture or a combination of these has become possible. Multimedia data needs more real time storage and high data transfer than traditional textual and numeric data. In addition to these requirements, significant amount of computation is demanded for multimedia applications to serve many users at...
Scale-out infrastructure such as Cloud is built upon a large network of multi-core processors. Performance, power consumption, and capital cost of such infrastructure depend on the overall system configuration including number of processing cores, core frequency, memory hierarchy and capacity, number of memory channels, and memory data rate. Among these parameters, memory subsystem is known to be...
The task of minimizing the costs of providing IT services, as a task of optimizing control actions on quality indicators, was solved. An Statistical Aggregation and Decomposition approach was developed to study the quality of IT services on the basis of multiple regression and autoregression of the integrated moving average, in which these methods were jointly used to predict the components of the...
The advent of Cloud computing has provided a promising methodology for usage of distributed resources for complex scientific workflow applications. Due to the unique features of cloud technology, such as the pay-as-you-go pricing model and scaling, efficient workflow scheduling is a critical research topic. While most workflow scheduling algorithms are proposed to minimize the overall execution time,...
This paper presents a case study of residential consumer from the urban area and suggests methods to make anenergy self-reliant house for the reduction in electricity bill. Unlike developed countries, India has to explore the use of renewable sources and other means to reduce the energy cost due to non-availability of real time pricing for LT consumers. Depending on the tariff offered by different...
Maintenance, production and quality are strongly linked to each other. Predictive maintenance is an effective way to eliminate the potential failures and ensure the stable operation of the manufacturing system, and further improve the reliability of the manufacturing system and the quality of manufactured products. Regarding the intelligent manufacturing philosophy “prediction and manufacturing#x201D;,...
In the past few years, datacenter (DC) energy consumption has become an important issue in technology world. Server consolidation using virtualization and virtual machine (VM) live migration allows cloud DCs to improve resource utilization and hence energy efficiency. In order to save energy, consolidation techniques try to turn off the idle servers, while because of workload fluctuations, these offline...
Deploying dense small cell networks overlaying to the conventional macro cell networks is widely regarded as a key step towards network architecture revolution for improved coverage and user rate. Small cells have different kinds, and a target coverage can be achieved through deploying different kinds of small cells. Previous works mainly focus their attention on the optimization of spectrum and energy...
Many safety and information-entertainment applications have thus been proposed for Vehicular Networks in which vehicles connect to each other and form networks. Unfortunately, increasing presence of network exposes more potential risks for privacy. Some privacy issues are unique challenges comparing. For example, the vehicle's network identity is strictly linked to the owner's identity due to the...
Many different types of applications simultaneously execute in current data centers (DCs). To provide low cost and improved performance, each application is typically deployed in distributed DCs. Tasks of users around the world first go through Internet service providers (ISPs) which deliver data between distributed DCs and users. However, capacities and bandwidth cost of different ISPs vary. Besides,...
There are six main categories of breast cancer be existent. In this paper, we have taken the Type 1 carcinoma cancer to support the decision making. For this, a novel machine learning based cost optimization is applied to make an efficient decision from the samples. Moreover, we have applied our methodology on the real datasets to predict cancer with appropriate parameters using Pearson correlation...
Because of the exponential development of advanced information, the information distribution center size gets increments. From this crude information, recognizing the breast cancer growth plays a testing errand in bunches the proper component. This is satisfied with semi-regulated machine learning calculation and closeness measure. We have taken here the genuine specimens of cancer malignancy with...
Gephi is an open source tool, used for Data Analysis, Link Analysis, Social Network Analysis, Biological Network Analysis, Poster Creation. Gephi tool in this project is used for Social Network Analysis of Facebook Pages and is used to find metrics like Modularity, Average Weighted Degree, Average Degree etc. The Gephi tool gives different graphs as output which can be analyzed by the shape of the...
In this paper, a stand-alone hybrid renewable energy system is proposed, which consists of solar PV, wind turbine, and energy storage with the combination of battery and hydrogen. This energy storage system partly relies on energy conversion through two components, electrolysis and fuel cell. When the hybrid system generates more electricity than load demand, hydrogen is produced via electrolysis...
Infrastructure as a Service (IaaS) is one of the common Cloud service models, which is widely used by the scientific applications. As the users are charged only for the usage of resources based on the Service Level Agreements (SLA), the users are attracted towards the IaaS. Workflow scheduling is a complex issue in IaaS because multiple scheduling parameters are to be considered to satisfy the Quality...
Construction engineering is considered as a complex network system project. By analyzing the relationship of construction costs and reliability in engineering project, a mathematical model is established to optimize the costs and genetic algorithm (GA) is used for this purpose. In the application of GA, penalty function is used to handle the constraint. Ranking based on the evaluation function and...
Virtual world has the potential to become a future global electronic market. It integrates many isolated markets in many areas. To achieve this goal, future virtual world is required to be persistent, which means that a virtual world together with its accumulated content shall exist forever regardless of dynamic changes of its virtual world users and virtual world owners. This paper addresses the...
The aim of this work in progress is to define a MAS model for cost optimization in an industrial environment. The system, a decision support instrument, must provide alerts and tips that maximize the benefits. In the following we highlight the MAS details. We mainly present the agents and give a detailed description for each one with its goals and its environment. The system purpose is to optimize...
To reduce the congestion due to the future bandwidth-hungry applications in domains such as Health care, Internet of Things (IoT), etc., we study the benefit of introducing additional Data Centers (DCs) closer to the network edge for the optimal application placement. Our study shows that the edge layer DCs in a Mobile Edge Network (MEN) infrastructure is cost beneficial for the bandwidth-hungry applications...
In this paper, we address the cost-optimized line-rate and modulation-format selection in survivable flexible bandwidth optical networks. Two different transponder configuration approaches are proposed to minimize network cost by employing the dedicated and shared optical transponders on working path and backup path.
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