The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Although federated cloud computing has emerged as a promising paradigm, autonomous orchestration of resource utilization within the federation is still required to be balanced on the basis of workload assignment at a given time. Such potential imbalance of workload allocation as well as resource utilization may lead to a negative cloudburst within the federation. The analytical models found in the...
Petri nets prepare an effective method of computing minimal siphons and elementary siphons based on the concept of initial resource assignment on liveness for the class of generalized Petri nets, namely S4PR. At the point when consideration concentrates on the utilization of framework assets to flexible manufacturing system (FMS) can be viewed as an exceptional class of simultaneous of resource allocation...
The ever-growing amount of textual data available online creates the need for automatic text summarization tools. Probabilistic topic models are able to infer semantic relationships between sentences which is a key step of extractive summarization methods. However, they strongly rely on word co-occurrence patterns and fail to capture the actual semantic relationships between words such as synonymy,...
A lot of work on resource estimation has been carried out in the area of cloud computing. For example, some recent models assign resources based on the history of the users and the utilization of the cloud resource pool. Although these models have generally shown an increase in server utilization, they lack a cost-benefit analysis to know the profit margin obtained by the respective resource allocation...
Opportunistic network created among mobile devices in challenged environments can be effectively exploited to provide application services. However, data and services may be subject to space and time constraints in challenged environments where it is critical to complete application services within given spatiotemporal limits. This paper discusses an analytical framework that takes into account human...
Containers are rapidly replacing Virtual Machines (VMs) as the compute instance of choice in cloud-based deployments. The significantly lower overhead of deploying containers (compared to VMs) has often been cited as one reason for this. We analyse performance of the Kubernetes system and develop a Reference net-based model of resource management within this system. Our model is characterised using...
Many Scientific and Engineering Applications deals with the processing of large documents for data collection and analysis. As more information is available, it becomes very difficult to access the data from large documents. So we need some techniques to organize, search and understand vast quantities of information. Topic Modeling serves as an efficient method for accessing the data. In this paper,...
The search of latent dependencies and the analysis of text collections are important tasks in the context of rapid development of information technologies. This article describes the identification of scientific and technological trends in the field of it-technologies using the analysis of thematic publications from web sources with LDA topic models. The proposed solution uses a formal criterion to...
Parallel computation is fundamental to satisfy the performance requirements of advanced safety-critical systems. OpenMP is a good candidate to exploit the performance opportunities of parallel platforms. However, safety-critical systems are often based on static allocation strategies, whereas current OpenMP implementations are based on dynamic schedulers. This paper proposes two OpenMP-compliant static...
Simulation models commonly describe complex systems with no closed-form analytical representation. This paper proposes an algorithm for functions on continuous domains that fits into the nested partition framework and uses quantile estimation to rank regions and identify the most promising region. Additionally, we apply the optimal computational budget allocation (OCBA) method for allocating sample...
In this paper, we consider the simulation budget allocation problem to maximize the probability of selecting the best simulated design in ordinal optimization. This problem has been studied extensively on the basis of the normal distribution. In this research, we consider the budget allocation problem when the underlying distribution is exponential. This case is widely seen in simulation practice...
With the development of distribution network, and the intelligentization of terminal devices in distribution automation system, it becomes key point that research the task allocation method and self-adaptive task allocation model from perspective of distributed system to improve the utilization of the devices in whole distribution network and optimize the system performance on intelligent terminal...
A questionnaire text mining model is built based on latent semantic analysis (LSA). Take open questionnaire as the research object and improve Latent Dirichlet Allocation (LDA) model according to the text characteristics, a BM25-LDA model is built. By comparing the LDA model and BM25-LDA model on the open questionnaire text, we can verify that the performance of BM25-LDA mode is better than that of...
Evacuation management related problems involves multidisciplinary response tasks. Integrate decision support demands for intelligent management, collaboration and visualization of multiple model and data resources in distributed and heterogeneous environment. In this paper, a service-oriented distributed architecture is developed for integrated decision support in emergency evacuation management....
With the rapid development of big data analytics in online marketing, real-time bidding (RTB) has emerged as a promising business model in recent years and now becomes one of the major online advertising channels. Based on analysis of Web Cookies, RTB platforms are able to precisely identify the features and preferences of target audiences visiting publishers' websites, and forward the information...
Services of different types are provided to paying customers on servers hired from a cloud. Different virtual machines can share a server, subject to one or more resource constraints. Incoming jobs whose resource requirements cannot be satisfied are lost. The objective is to maximize the long-term average profit per unit time. A single-server model is analyzed exactly and the results provide approximations...
Initialization will affect the performance of Evolutionary Algorithm (EA), especially under computationally expensive environments. To investigate the optimal resource allocation between the initialization and optimization stages, we studied the Computational Resource Optimization Problem (CROP) in our previous work. In this paper, we extend our resource allocation model by separating “initial solutions”...
Topic modeling is a widely used approach for analyzing large text collections. In particular, Latent Dirichlet Allocation (LDA) is one of the most popular topic modeling approaches to aggregate vocabulary from a document corpus to form latent "topics". However, learning meaningful topic models with massive document collections which contain millions of documents, billions of tokens is challenging,...
Cloud computing provides software, platform, and infrastructure as a service that helps organizations to perform several resource intensive tasks. The services offered by a cloud service provider are limited by provider-specific options in terms of the pre-specified configurations. Moreover, it is sometimes expensive to pay a fixed amount of money without any format of negotiation or price-matching...
This research aims to use a hybrid recommendation method based on probabilistic techniques and topics modeling that provide recommendations most close fitting the user compared to other traditional recommendation models. We carry out a comprehensive review of the recommended methods for content-based systems and collaborative filtering, mainly in the domain of recommending movies. The methods discussed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.