Cloud Computing: Fundamentals

Abstract Deepening the concept of Cloud Computing, describing and analyzing the underlying technologies in this concept’s technological implementation. The relationship of distributed computing and virtualization with Cloud Computing. The need for automation in Cloud Computing

Towards advanced data skills for information systems graduates

This study aims to explore advanced data skills -in particular technical skills expected of a data engineering (DE) professional. Descriptions and requirements for the DE jobs, one each from 50 US companies, were collected from three job sites. An automated text analysis was performed on the job descriptions to extract a list of technical skills and competencies required for the DE job in the industry. The extracted information was then manually synthesized and categorized by the author. Findings of the study are intended to be of use by information systems graduates looking to pursue advanced data education and for curricula committees in offering advanced data courses and specializations

Long-Term Memory: Scaling of Information to Brain Size

The material bases of information - paper, computer discs - usually scale with information quantity. Large quantities of information usually require large material bases. Conventional wisdom has it that human long-term memory locates within brain tissue, and so might be expected to scale with brain size which, in turn, depends on cranial capacity. Large memories, as in savants, should always require large heads. Small heads should always scale with small memories. While it was previously concluded that neither of these predictions was invariably true, the evidence was weak. Brain size also depends on ventricle size, which can remain large in some survivors of childhood hydrocephaly, occupying 95% of cranial volume. Yet some of these have normal or advanced intelligence, indicating little impairment of long-term memory. This paradox challenges the scaling hypothesis. Perhaps we should be looking further afield?Comment: 10 pages, 1 figure; submitted to Biological Theory 20th Feb 2013; a requested revision was submitted 28th July 201

Security & Privacy Issues of Big Data in IOT based Healthcare System using Cloud Computing

The increasing popularity of IOT based technology in healthcare arena using cloud computing immensely emphasizes on using big data as a service for facilitating a proper structure for collected healthcare data and accommodating such ample number of diverse data for better diagnosis, medication and prediction of human health. The recent revolution brought in healthcare by internet of things allows us to experience the gigantic figure of data with more complexity, diversity and timeliness. Hence, the question rises in the researcher’s den about the security and privacy of such enormous data. Therefore, nowadays the limelight has been shifted questioning on how much secure and private those data which are generated from IOT devices and being stored in cloud environment? In this paper we have drafted a survey on most probable security as well as privacy problems related to healthcare which needs to grab the attention for enabling the healthcare system more reliable, more effective in terms of advancement of medical science and curing more patients at a time predicting the possible diseases

Migrating on -premises application to windows azure platform (microsoft cloud)

Legacy systems are usually attached with outdated technologies which over time become a bottleneck for organizations to manage and maintain. Old and poorly utilized architecture make systems run slow and far from expected, however sometimes organization cannot live without those. Renewing application architecture can be considered as an option but it is time consuming and very costly. Cloud computing as an ultimate solution can be proposed to migrate on-premises application to a utilized environment in terms of infrastructure, computing power and virtualization. In addition, it provides a highly available and elastic computing environment which makes organizations to only pay for what they use. In this research, after a brief introduction to main concepts of cloud computing particularly Windows Azure platform (Microsoft Cloud), it is tried to analyze and assess OnePortfolio system developed by Riskk Sdn Bhd, to see whether it is feasible to be moved to Windows Azure. OnePortfolio operates on a SOA architecture comprised of three main components: services, client application and database. Throughout this research, Windows Azure migration lifecycle in compliance with ISO/IEC 14764 international standard is used as the methodology to perform the migration. Once the application is analyzed and migrated to cloud, it is compared to on-premises environment to evaluate its performance and security mechanism

Introduction to Cloud Computing Fundamental for Teachers and Students of SMK Negeri 1 Karangdadap Kabupaten Pekalongan

The use of cloud computing technology is currently increasingly widespread. The purpose of this community service is to introduce vocational high school students and teachers to cloud computing and implement it to solve computational problems. Participants are introduced to cloud architecture, the advantages of using cloud, various cloud service providers, and different categories of products that the cloud service providers deliver. During the training, participants are provided with the case studies on the use of three products available on Google Cloud Platform (GCP), i.e., Compute Engine, Cloud Storage, and Cloud Vision API. As a result, participants are able to create virtual machines using Compute Engine, publish static web pages using Cloud Storage, and create an application to detect the name and location of a landmark from an image using Cloud Vision API. After this activity, participants are expected to be able to explore other cloud products available and use them to create their own projects