Cloud Computing Technology and Science

2013 ◽  
Vol 5 (4) ◽  
pp. 1-4 ◽  
Author(s):  
Ching-Hsien Hsu ◽  
Emmanuel Udoh
Keyword(s):  
Cloud Computing ◽  
Heterogeneous Computing ◽  
Future Research ◽  
Detailed Knowledge ◽  
It Services ◽  
Special Issue ◽  
Computing Technology ◽  
Research Papers ◽  
Computing Technologies ◽  
Challenges And Opportunities

The “Cloud” is a natural evolution of distributed computing and of the widespread adaption of virtualization and SOA. In Cloud Computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology. By taking advantage of virtualized resources, cloud computing presents an attractive means to address the challenges while realizing the potential of ubiquitous IT services. Consequently, computational scientists are turning their attention to emerging cloud computing technology and science. As such, cloud computing has come to the picture seeking solutions for computing and IT services to be efficient and environmentally friendly. This special issue is in response to the increasing convergence of cloud computing technologies and services, while different approaches exist, challenges and opportunities are numerous in this context. The research papers selected for this special issue represent recent progresses in the field, including works on virtualization, big data intelligence, resource management, services computing architectures and modeling, as well as mobile cloud and applications. This special issue includes seven extended version of the selected papers originally presented at the 4th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom 2012), held at Taipei, Taiwan. The papers selected for this issue not only contribute valuable insights and results but also have particular relevance to the emerging and cloud computing technologies. All of them present high quality results for tackling problems arising from the ever-growing cloud computing, heterogeneous computing as well as sustainable computing technologies. We believe that this special issue provides novel ideas and state-of-the-art techniques in the field, and stimulates future research in the emerging and cloud computing community.

How does cloud computing help businesses to manage big data issues

Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad Latifian
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Management ◽  
Data Storage ◽  
Data Privacy ◽  
High Efficiency ◽  
Future Research ◽  
It Services ◽  
Computing Technology ◽  
Content Type

PurposeBig data has posed problems for businesses, the Information Technology (IT) sector and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data are two significant past-year problems that allow high-efficiency and competitive computing tools to be delivered as IT services. The paper aims to examine the role of the cloud as a tool for managing big data in various aspects to help businesses.Design/methodology/approachThis paper delivers solutions in the cloud for storing, compressing, analyzing and processing big data. Hence, articles were divided into four categories: articles on big data storage, articles on big data processing, articles on analyzing and finally, articles on data compression in cloud computing. This article is based on a systematic literature review. Also, it is based on a review of 19 published papers on big data.FindingsFrom the results, it can be inferred that cloud computing technology has features that can be useful for big data management. Challenging issues are raised in each section. For example, in storing big data, privacy and security issues are challenging.Research limitations/implicationsThere were limitations to this systematic review. The first limitation is that only English articles were reviewed. Also, articles that matched the keywords were used. Finally, in this review, authoritative articles were reviewed, and slides and tutorials were avoided.Practical implicationsThe research presents new insight into the business value of cloud computing in interfirm collaborations.Originality/valuePrevious research has often examined other aspects of big data in the cloud. This article takes a new approach to the subject. It allows big data researchers to comprehend the various aspects of big data management in the cloud. In addition, setting an agenda for future research saves time and effort for readers searching for topics within big data.

scholarly journals Cloud Computing based on the Load Balancing Algorithm

2018 ◽  
Vol 7 (4.7) ◽  
pp. 131
Author(s):  
NV Abhinav Chand ◽  
A Hemanth Kumar ◽  
Surya Teja Marella
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
User Satisfaction ◽  
Easy Access ◽  
Future Research ◽  
Computing Technology ◽  
Main Challenge ◽  
Load Balancing Algorithm ◽  
And Performance ◽  
Time Resource

Emerging cloud computing technology is a big step in virtual computing. Cloud computing provides services to clients through the internet. Cloud computing enables easy access to resources distributed all over the world. Increase in the number of the population has further increased the challenge. The main challenge of cloud computing technology is to achieve efficient load balancing. Load balancing is a process of assigning load to available resources in such a way that it avoids overloading of resources. If load balancing is performed efficiently, it improves QoS metric including cost, throughput, response time, resource utilization and performance. Efficient load balancing techniques also provide better user satisfaction. Various load balancing algorithms are used in different scenarios for ensuring the same. In the current research, we will study different algorithms for load balancing and benefits and limitations caused to the system due to the algorithms. In this paper, we will compare static and dynamic load balancing algorithms for various measures of efficiency. These will be useful for future research in the concerned field. 

Cloud-based e-health Applications in Palestine: Challenges and Success Opportunities

2019 ◽  
Vol 7 (2) ◽  
pp. 15-20
Author(s):  
Mousa Abdoh ◽  
Nael Salman
Keyword(s):  
Cloud Computing ◽  
Healthcare Service ◽  
Analytical Study ◽  
Low Cost ◽  
It Services ◽  
Potential Models ◽  
It Service ◽  
Current State ◽  
Challenges And Opportunities ◽  
Health Applications

Healthcare service costs are rising all over the world. That is mainly due to the lack of healthcare professionals and IT services.  Cloud computing is an emerging trend that provides a robust infrastructure that enables delivering low-cost services over the internet. In this paper, we conducted an analytical study on the e-health services in Palestine to investigate the current state-of-art and examine all challenges and opportunities to benefit from this technology. Collected data has been analyzed and the results revealed that there is a clear gap between the IT service models provided by Palestinian healthcare service provider, and the potential models based on latest IT trends; mainly, cloud computing. 

scholarly journals Cloud-Based DDoS HTTP Attack Detection Using Covariance Matrix Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Abdulaziz Aborujilah ◽  
Shahrulniza Musa
Keyword(s):  
Cloud Computing ◽  
Covariance Matrix ◽  
Daily Life ◽  
Confusion Matrix ◽  
Attack Detection ◽  
Matrix Approach ◽  
It Services ◽  
Computing Technology ◽  
Ddos Attack

In this era of technology, cloud computing technology has become essential part of the IT services used the daily life. In this regard, website hosting services are gradually moving to the cloud. This adds new valued feature to the cloud-based websites and at the same time introduces new threats for such services. DDoS attack is one such serious threat. Covariance matrix approach is used in this article to detect such attacks. The results were encouraging, according to confusion matrix and ROC descriptors.

scholarly journals Allowing Schools Access to Affordable Computers. How Schools Can Benefit From Switching to Inexpensive, Cloud-Based Computing Technologies

2017 ◽  
Vol 9 (3) ◽  
pp. 326-331
Author(s):  
Zhanat Abdugulova
Keyword(s):  
Cloud Computing ◽  
Technology Education ◽  
Computer Programming ◽  
Computer Systems ◽  
Real Life ◽  
Computing Technology ◽  
Computing Technologies ◽  
Desktop Computers ◽  
Software Updates ◽  
Computer Labs

AbstractNowadays schools own computer labs and laptop carts developed to be shared among a large quantity of students and this task requires buying desktop computers and other necessary inventory that create opportunities for them to achieve skills in basic computer programming, internet browsing, etc. Unfortunately, schools cannot afford expensive desktop computers, which require maintaining services and software updates and Chromebook become a real life solution for that issue, because it does not require any expensive maintaining operations and it uses Cloud- Based System for all data that students have. Keywords: Cloud computing; Technology Education; Non-Cloud-Based Computer Systems; Cloud- Based Computer;

Mobile and Wireless Computing towards Sustainable and Ubiquitous Clouds Services

2013 ◽  
Vol 5 (3) ◽  
pp. 1-5 ◽  
Author(s):  
Ching-Hsien Hsu ◽  
Emmanuel Udoh
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Critical Role ◽  
Cloud Services ◽  
Future Research ◽  
Mobile Cloud ◽  
Extended Version ◽  
Special Issue ◽  
Energy Aware ◽  
Wireless Computing

The ever-growing cloud computing and services provide dynamic intelligence and play an increasingly critical role in all aspects of our lives. By taking advantage of virtualized resources, cloud computing services presents an attractive means to address the challenges while realizing the potential of Mobile and Wireless Computing (MWC). The MWC paradigm can be generalized to include mobile devices, which not only incorporate sophisticated methods for users to interact with the online world through numerous applications in their devices, but are endowed with multiple sensors that enable them to contribute data as nodes in the IoT. In this context, mobile cloud services that enable widespread data collection through mobile devices and collaborative use of mobile devices to enhance existing and realize new applications are very much of interest. As such, the MWC has come to the picture seeking solutions for computing and IT infrastructures to be energy efficient and environmentally friendly. This special issue is in response to the increasing convergence between MWC and cloud services, while different approaches exist, challenges and opportunities are numerous in this context. The research papers selected for this special issue represent recent progresses in the field, including works on services computing and modeling, mobile cloud, U-Care cloud, vehicle networks, energy-aware architectures, and wireless sensor network technologies and applications. This special issue includes four extended version of the selected paper originally presented at the 17th Mobile Computing Workshop (MC 2012) and the 8th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2012), held at Taipei, Taiwan; one extended version of the selected paper originally presented at the 4th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom 2012), held at Taipei, Taiwan; and one regular submission with 20% average acceptance rate for 2012 submissions in IJGHPC. The papers selected for this issue not only contribute valuable insights and results but also have particular relevance to the mobile, wireless and cloud computing community. All of them present high quality results for tackling problems arising from the ever-growing mobile and cloud services. We believe that this special issue provides novel ideas and state-of-the-art techniques in the field, and stimulates future research in the mobile and wireless services in clouds.

"Understanding Forms and Models of Cloud Computing Technologies Adopted in the Selected Institutions in Southwestern Nigeria "

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Gbonjubola Oluwafunmilayo Binuyo
Keyword(s):  
Cloud Computing ◽  
Relevant Literature ◽  
Secondary Data ◽  
Software As A Service ◽  
Federal State ◽  
Computing Technology ◽  
Application Development ◽  
Southwestern Nigeria ◽  
Platform As A Service ◽  
Computing Technologies

The study examined the forms and models of cloud computing technology adopted in the selected institutions from four states in Southwestern Nigeria. The three purposively selected institutions were Federal, State and Private owned making twelve institutions. However, the administered questionnaire was filled in by the ten (10) IT personnel, ten (10) lecturers and five (5) students from each of the selected institutions making 300 respondents. The questionnaire elicited information on the forms and models of cloud computing technology adopted and the extent of use of the adopted cloud computing technologies in the selected institutions. Secondary data were obtained from relevant literature. Data collected were analysed with descriptive and inferential statistics. The study concludes that the forms of cloud computing technology adopted by the selected institutions in Southwestern Nigeria are infrastructure-as-a-service (IaaS), software-as-a-service (SaaS) and platform-as-a-service (PaaS) while software-as-a-service (SaaS) is often used by the institutions. Also, the models of adopted cloud computing technology are private, public, hybrid and community cloud computing by the selected institutions in Southwestern Nigeria. The adopted forms and models of cloud computing technology are used for different business functions such as payroll, procurement, human resources, accounting and finance, CRM, application development, and project management.

scholarly journals Eating Disorders and Obesity: The Challenge for Our Times

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1055 ◽  
Author(s):  
Phillipa Hay ◽  
Deborah Mitchison
Keyword(s):  
Eating Disorders ◽  
Integrated Approach ◽  
Future Research ◽  
Obesity Risk ◽  
Special Issue ◽  
Eating Behaviours ◽  
Research Papers ◽  
Research Directions ◽  
Future Research Directions ◽  
Made In

Public health concerns largely have disregarded the important overlap between eating disorders and obesity. This Special Issue addresses this neglect and points to how progress can be made in preventing and treating both. Thirteen primary research papers, three reviews, and two commentaries comprise this Special Issue. Two commentaries set the scene, noting the need for an integrated approach to prevention and treatment. The empirical papers and reviews fall into four broad areas of research: first, an understanding of the neuroscience of eating behaviours and body weight; second, relationships between disordered eating and obesity risk; third, new and integrated approaches in treatment; and fourth, assessment. Collectively, the papers highlight progress in science, translational research, and future research directions.

Learning Beyond the Brick and Mortar: Prospects, Challenges, and Bibliometric Review of E-learning Innovation

2021 ◽  
pp. 227868212110001
Author(s):  
Lamin B. Ceesay
Keyword(s):  
Relevant Literature ◽  
Future Research ◽  
It Services ◽  
Research Areas ◽  
Challenges And Opportunities ◽  
Brick And Mortar ◽  
Bibliometric Review ◽  
E Learning ◽  
Adoption And Diffusion ◽  
And Diffusion

The increasing proliferation of IT services in all sectors has reinforced the adoption and diffusion across all levels of education and training institutions. However, lack of awareness, knowledge about the key challenges, and opportunities of e-learning seem to allude policymakers, resulting in low adoption or increased failure rate of many e-learning projects. Our study tries to address this problem through a review of relevant literature in e-learning. Our goal was to draw from the existing literature, insights into the opportunities and challenges of e-learning diffusion, and the current state-of-research in the field. To do this, we employed a systematic review of literature on some of the salient opportunities and challenges of e-learning innovation for educational institutions. These results aimed to inform policymakers and suggest some interesting issues to advance the research and adoption and diffusion of e-learning. Moreover, the bibliometric analysis shows that the field is experiencing high research attraction among scholars. However, several research areas in the field witnessed relatively low research paucity. Based on these findings, we discussed topics for possible future research.

scholarly journals Learning beyond the Brick and Mortar: A Review of Prospects and Challenges of E-learning Innovation

2020 ◽  
Author(s):  
Lamin B. Ceesay
Keyword(s):  
Relevant Literature ◽  
Future Research ◽  
It Services ◽  
Research Areas ◽  
Challenges And Opportunities ◽  
Brick And Mortar ◽  
E Learning ◽  
Adoption And Diffusion ◽  
State Of Research ◽  
And Diffusion

Increased proliferation of IT services in all sectors has reinforced the adoption and diffusion across all levels of education and training institutions. However, lack of awareness of and knowledge about the key challenges and opportunities of elearning, seem to allude policymakers, resulting in low adoption or increased failure rate of many e-learning projects. Our study tries to address this problem through a review of relevant literature in e-learning. Our goal was to draw from the existing literature, insights into the opportunities and challenges of e-learning diffusion, and the current state-of-research in the field. To do this, we employed a systematic review of literature on some of the salient opportunities and challenges of e-learning innovation for educational institutions. These results aimed to inform policymakers and suggest some interesting issues to advance the research and adoption and diffusion of e-learning. Moreover, the bibliometric analysis shows that the field is experiencing high research attraction among scholars. However, several research areas in the field witnessed relatively low research paucity. Based on these findings, we discussed topics for possible future research.

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