Global Journal of Computer Science and Technology (GJCST)
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The Contemporary Review of Notable Cloud Resource Scheduling Strategies
Get PDFCloud computing has become a revolutionary development that has changed the dynamics of business for the organizations and in IT infrastructure management. While in one dimension, it has improved the scope of access, reliability, performance and operational efficiency, in the other dimension, it has created a paradigm shift in the way IT systems are managed in an organizational environment. However, with the increasing demand for cloud based solutions, there is significant need for improving the operational efficiency of the systems and cloud based services that are offered to the customers. As cloud based solutions offer finite pool of virtualized on-demand resources, there is imperative need for the service providers to focus on effective and optimal resource scheduling systems that could support them in offering reliable and timely service, workload balancing, optimal power efficiency and performance excellence. There are numerous models of resource scheduling algorithms that has been proposed in the earlier studies, and in this study the focus is upon reviewing varied range of resource scheduling algorithms that could support in improving the process efficiency. In this manuscript, the focus is upon evaluating various methods that could be adapted in terms of improving the resource scheduling solutions
A Brief Survey of Cloud Computing
Get PDFCloud computing is among the most promising technologies of the recent days, with the potential to reach $204 billion by the end of 2016. Almost all major tech companies provide cloud services of one sort or another like computing clusters and cloud storage. Cloud services can be provisioned as Software as a Service (SaaS), Platform as a Service (PaaS) or Infrastructure as a Service (IaaS) and they can be deployed as private, community, public or hybrid clouds. Cloud computing provides several advantages like ease-of-deployment, no maintenance and up-front costs, and rapid and efficient scalability. But it does pose several challenges with regards to security of data and privacy issues, and many security sensitive companies tend to shy away from cloud services due to this very reason
Crop Coverage Data Classification using Support Vector Machine
Get PDFA statistical tool which can be used in various applications ranging from medical science to agricultural science is support vector machines. The proposed methodology used is support vector machine and it isused to classify a raster map. The dataset used herein is of Gujarat state agriculture map. The proposed approach is used to classify raster map into groups based on crop coverage of various crops. One group represents rice crop coverageand the othermillets crop coverage and yet another that of cotton crop coverage.Various statistical parameters are used to measure the efficacy of the proposed methodology employed
MQMF: Multiple Quality Measure Factors for Trust Computation and Security in MANET
Get PDFIdentification of the mobile ad hoc network node in a secure, reliable communication is a very important factor. It will be a node in the service of reconciliation and node behaviour leads to uncertainty. It is always challenge to manage node security and resource due to the complexity of high mobility and resource constraints. Trust based security provides light-weight security computing for individual node trust to provide reliable and quality of service. In this paper we present a multiple quality measure factors (MQMF) approach for computing node trust to improvise the quality of service. It compute four quality measure factors based on node throughput and packet drop during communication to measure the node individual trustworthiness. It prevent the network from anomalous and malicious nodes to improvise the security and throughput. The evaluation measures shows an improvisation in throughput with less packet drop and computational overload in compare to existing protocols
Impact of Information Technology on the Efficiency of Civil Secretariate Employees Peshawar, Pakistan
No full textThe computer and information system are very vital vital element of any organization especially administrative level in education department in this age of computer and internet working. Computer really works in minimizing the work burden and brings efficiency in working profile. The history shows that those nations and organizations which focused on their technological improvement proved very successful organizations and nation on the planet. This study has been conducted in an education administrative department where most of the work was done manually rather than using the advanced computer infrastructure and information system. The study surveyed 150 employees of the civil secretariats administrative department of education in Peshawar where both junior and senior level. The study used stratified random sampling technique creating strata2019;s for both junior and senior level employees. The self-administered 15 items questionnaire was used tested for validity and reliability. The results found that both type of employees have been benefited from the application and use of computer and information system
Security in Data Mining- A Comprehensive Survey
Get PDFData mining techniques, while allowing the individuals to extract hidden knowledge on one hand, introduce a number of privacy threats on the other hand. In this paper, we study some of these issues along with a detailed discussion on the applications of various data mining techniques for providing security. An efficient classification technique when used properly, would allow an user to differentiate between a phishing website and a normal website, to classify the users as normal users and criminals based on their activities on Social networks (Crime Profiling) and to prevent users from executing malicious codes by labelling them as malicious. The most important applications of Data mining is the detection of intrusions, where different Data mining techniques can be applied to effectively detect an intrusion and report in real time so that necessary actions are taken to thwart the attempts of the intruder. Privacy Preservation, Outlier Detection, Anomaly Detection and PhishingWebsite Classification are discussed in this paper
A Review on Integration of Quantum Processor Services with Recursive Quantum Network in Cloud System
Get PDFA Frame Work for Text Mining using Learned Information Extraction System
Get PDFText mining is a very exciting research area as it tries to discover knowledge from unstructured texts These texts can be found on a computer desktop intranets and the internet The aim of this paper is to give an overview of text mining in the contexts of its techniques application domains and the most challenging issue The Learned Information Extraction LIE is about locating specific items in natural-language documents This paper presents a framework for text mining called DTEX Discovery Text Extraction using a learned information extraction system to transform text into more structured data which is then mined for interesting relationships The initial version of DTEX integrates an LIE module acquired by an LIE learning system and a standard rule induction module In addition rules mined from a database extracted from a corpus of texts are used to predict additional information to extract from future documents thereby improving the recall of the underlying extraction system Applying these techniques best results are presented to a corpus of computer job announcement postings from an Internet newsgrou
Big Data Analysis of Salary Dataset using Hive
Get PDFOne way to understand how a city government works is by looking at who it employs and how its employees are compensated This data contains the names job title and compensation for San Francisco city employees on an annual basis from 2011 to 2014 The analyzed data will be shown in the form of various charts and graphs with respect to 1 Yearly Mean Pay 2 Mean Pay by Job Type 3 Pay based on Base Pay Overtime Pay Other Pay and Benefits As the Salary seeking population grows the data also grows in size This becomes a challenge for the traditional RDBMS to manage the huge volumes of data Hence Salary data Analysis can be made using Hive and Map Reduce algorithms to eliminate the challenges faced by the traditional RDBM
Social Recommendation Algorithm Research based on Trust Influence
Get PDFCold start and data sparsity greatly affect the recommendation quality of collaborative filtering. To solve these problems, social recommendation algorithms introduce the corresponding user trust information in social network, however, these algorithms typically utilize only adjacent trusted user information while ignoring the social network connectivity and the differences in the trust influence between indirect users, which leads to poor accuracy. For this deficiency, this paper proposes a social recommendation algorithm based on user influence strength. First of all, we get the user influence strength vector by iterative calculation on social network and then achieve a relatively complete user latent factor according to near-impact trusted user behavior. Depending on such a user influence vector, we integrate user-item rating matrix and the trust influence information. Experimental results show that it has a better prediction accuracy, compared to the state-of-art society recommendation algorithms