Fault mitigation in real-time cloud computing

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Osuolale A. Festus ◽  
Adewale O. Sunday ◽  
Alese K. Boniface
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Human Life ◽  
Low Cost ◽  
Cloud Services ◽  
Computing Systems ◽  
Cloud Computing Environment ◽  
High Performing ◽  
Procurement Cost ◽  
Data Upload

The introduction of computers has been a huge plus to human life in its entirety because it provides both the world of business and private an easy and fast means to process, generate and exchange information. However, the proliferation of networked devices, internet services and the amount of data being generated frequently is enormous. This poses a major challenge, to the procurement cost of high performing computers and servers capable of processing and housing the big data. This called for the migration of organizational and/or institutional data upload to the cloud for highlevel of productivity at a low cost. Therefore, with high demand for cloud services and resources by users who migrated to the cloud, cloud computing systems have experienced an increase in outages or failures in real-time cloud computing environment and thereby affecting its reliability and availability. This paper proposes and simulates a system comprising four components: the user, task controller, fault detector and fault tolerance layers to mitigate the occurrence of fault combining checkpointing and replication techniques using cloud simulator (CloudSim).

scholarly journals Analysis of the ukrainian market of cloud technologies

Connectivity ◽  
2020 ◽  
Vol 148 (6) ◽  
Author(s):  
K. A. Fedosiva ◽  
◽  
I. M. Sribna
Keyword(s):  
Cloud Computing ◽  
Human Life ◽  
Rapid Development ◽  
Cloud Services ◽  
Remote Access ◽  
Local Network ◽  
Rapid Improvement ◽  
Local Conditions ◽  
Wide Range ◽  
Cloud Technologies

The article is devoted to the analysis of the Ukrainian market for the spread of cloud technologies, an overview of growth dynamics, application segments and identifies leading companies that offer services using cloud computing. According to the unanimous forecasts of the world’s leading consulting companies, the rapid improvement and spread of cloud computing is now one of the key trends that in the next 5-8 years will significantly affect the global development of not only the IT industry but also business, finance, public administration, medicine, education and many other areas of human life. Prospects for the rapid development of cloud services in Ukraine encourage more careful consideration of the experience of their application in more «mature» markets and identify the main benefits and risks of these technologies in local conditions. People perceive the cloud as a platform only for storage and computing. However, there are many other opportunities that cloud technologies offer with cloud computing. Currently, cloud computing technologies are becoming increasingly popular. The advantages of this technology are obvious: economy, speed, elasticity, versatility of access. In the future, their use will create a powerful information and telecommunications system, which will be a technological solution for the construction and development of new infrastructure in the country. The world’s largest IT vendors (Microsoft, Amazon, Google and others) somehow implement cloud computing services, providing a wide range of opportunities for users. Thus, cloud computing is software and hardware that is available to the user via the Internet (or local network) in the form of a service that allows you to use a user-friendly web interface for remote access to dedicated resources (computing resources, programs and data). Thus, cloud computing is the next stage of information development of mankind.

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2021 ◽  
pp. 2558-2571
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

Cloud Computing-Based Socially Important Locations Discovery on Social Media Big Datasets

2020 ◽  
Vol 19 (02) ◽  
pp. 469-497 ◽  
Author(s):  
Ahmet Sakir Dokuz ◽  
Mete Celik
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Local Governments ◽  
Programming Model ◽  
Computing Systems ◽  
Apache Hadoop ◽  
Cloud Computing Environment ◽  
Emergency Situations ◽  
Hadoop Mapreduce ◽  
Dataset Size

Socially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provides valuable information, such as which locations are frequently visited by a social media user, which locations are common for a social media user group, and which locations are socially important for a group of urban area residents. However, discovering socially important locations is challenging due to huge volume, velocity, and variety of social media datasets, inefficiency of current interest measures and algorithms on social media big datasets, and the need of massive spatial and temporal calculations for spatial social media analyses. In contrast, cloud computing provides infrastructure and platforms to scale compute-intensive jobs. In the literature, limited number of studies related to socially important locations discovery takes into account cloud computing systems to scale increasing dataset size and to handle massive calculations. This study proposes a cloud-based socially important locations discovery algorithm of Cloud SS-ILM to handle volume and variety of social media big datasets. In particular, in this study, we used Apache Hadoop framework and Hadoop MapReduce programming model to scale dataset size and handle massive spatial and temporal calculations. The performance evaluation of the proposed algorithm is conducted on a cloud computing environment using Turkey Twitter social media big dataset. The experimental results show that using cloud computing systems for socially important locations discovery provide much faster discovery of results than classical algorithms. Moreover, the results show that it is necessary to use cloud computing systems for analyzing social media big datasets that could not be handled with traditional stand-alone computer systems. The proposed Cloud SS-ILM algorithm could be applied on many application areas, such as targeted advertisement of businesses, social media utilization of cities for city planners and local governments, and handling emergency situations.

scholarly journals Assessing Risks and Cloud Readiness in PaaS Environments

2019 ◽  
Vol 8 (3S) ◽  
pp. 243-249
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Risk Minimization ◽  
Cloud Infrastructure ◽  
Computing Environment ◽  
Configurable Computing ◽  
Cloud Computing Environment ◽  
Distributed Models ◽  
Software Vendor ◽  
Complex Architecture

The cloud computing has utilization of pervasive or distributed models on demand access to highly configurable computing devices for fast provision and less management efforts. The complex architecture, multitenant and virtual environment in cloud infrastructure asks for risks identification and mitigation. The cloud computing model business needs reassurances so it’s prime consideration for testing the cloud services. This research primarily identifies various risks, threats, testing models and vulnerabilities in cloud computing environment. This research has implemented the risk assessment and cloud readiness for PaaS environment by scanning its code with a software vendor. The research makes an emphasis on risk minimization strategies and trust evaluation in cloud computing environment.

scholarly journals NanoR: a user-friendly R package to analyze and compare nanopore sequencing data

2019 ◽  
Author(s):  
Davide Bolognini ◽  
Niccolò Bartalucci ◽  
Alessandra Mingrino ◽  
Alessandro Maria Vannucchi ◽  
Alberto Magi
Keyword(s):  
Real Time ◽  
Low Cost ◽  
R Package ◽  
Sequencing Data ◽  
High Performing ◽  
Dna And Rna ◽  
Oxford Nanopore ◽  
The One ◽  
User Friendly ◽  
Oxford Nanopore Technologies

AbstractMinION and GridION X5 from Oxford Nanopore Technologies are devices for real-time DNA and RNA sequencing. On the one hand, MinION is the only real-time, low cost and portable sequencing device and, thanks to its unique properties, is becoming more and more popular among biologists; on the other, GridION X5, mainly for its costs, is less widespread but highly suitable for researchers with large sequencing projects. Despite the fact that Oxford Nanopore Technologies’ devices have been increasingly used in the last few years, there is a lack of high-performing and user-friendly tools to handle the data outputted by both MinION and GridION X5 platforms. Here we present NanoR, a cross-platform R package designed with the purpose to simplify and improve nanopore data visualization. Indeed, NanoR is built on few functions but overcomes the capabilities of existing tools to extract meaningful informations from MinION sequencing data; in addition, as exclusive features, NanoR can deal with GridION X5 sequencing outputs and allows comparison of both MinION and GridION X5 sequencing data in one command. NanoR is released as free package for R at https://github.com/davidebolo1993/NanoR.

scholarly journals Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment

2019 ◽  
Vol 9 (1S3) ◽  
pp. 200-205
Keyword(s):  
Cloud Computing ◽  
Adaptive Learning ◽  
Denial Of Service ◽  
Cloud Services ◽  
Detection Accuracy ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Automatic Filtering

Distributed Denial of Service (DDoS) attacks has become the most powerful cyber weapon to target the businesses that operate on the cloud computing environment. The sophisticated DDoS attack affects the functionalities of the cloud services and affects its core capabilities of cloud such as availability and reliability. The current intrusion detection system (IDS) must cope with the dynamicity and intensity of immense traffic at the cloud hosted applications and the security attack must be inspected based on the attack flow characteristics. Hence, the proposed Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment is designed to adapt with varying kind of protocol attacks using misuse detection. The system is equipped with custom and threshold techniques that satisfies security requirements and can identify the different DDoS security attacks. The proposed system provides promising results in detecting the DDoS attacks in cloud environment with high detection accuracy and good alert reduction. Threshold method provides 98% detection accuracy with 99.91%, 99.92% and 99.94% alert reduction for ICMP, UDP and TCP SYN flood attack. The defense system filters the attack sources at the target virtual instance and protects the cloud applications from DDoS attacks.

scholarly journals Cloud Computing Technologies Adoption in Higher Education Inistitutes During COVID-19 Pandemic: Case Study

passer ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 187-193
Author(s):  
Nigar Mahmoud Shafiq ◽  
Mohammed Y. Shakor
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Cloud Services ◽  
Ongoing Research ◽  
Cloud Computing Environment ◽  
Research Activities ◽  
Use Of Technology ◽  
Cloud Applications ◽  
Authorization Control

The global spread of Covid-19 has enhanced the adoption of virtual education and the use of technology in order to reduce the risk of contagion. Recently, the academics have turn out to be more technology-orientated and the educational establishments continue to seek opportunities in order to adopt an environment where all researchers could have access to high-quality scientific resources at anytime and anywhere in the world. Cloud computing is a model, which provides the users with services and application software on-demand, using the Internet. While the use of cloud computing applications is growing, there are ongoing research challenges related to guaranteeing security, privacy and the integration of the cloud applications. To the extent of our knowledge, the present study is the first from this type to thoroughly present the impacts of the COVID-19 pandemic on cloud computing environment in higher education institutions in Iraqi universities. This study will critically analysis the views of the faculty staff and researchers in Iraqi universities on cloud computing. It also tries to take a quick look at how Iraqi university staff responded to the epidemic in terms of research activities. The results shows that about 99% of the respondents considered the cloud applications to have great role in encouraging the research works in their institutes. Concerning the benefits of cloud services, the availability and saving cost were selected as most important factors that encouraging the adoption of cloud services. On the other hand, issues related to performance, lack of user control were selected as major problems in applying cloud services in Iraqi institutions Finally, it can be concluding that reducing the risks of the security, authorization, control and providing better performance of cloud services can enhance the use of cloud applications by researchers at Iraqi universities.

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