scholarly journals Collaboration of Business Intelligence and Cloud Computing and Selecting the Best Cloud Business Intelligence Solution

2021 ◽  
Vol 12 (46) ◽  
pp. 29-45
Author(s):  
İpek ASLAN ◽  
Aşkın DEMİRAG ◽  
Erkut AKKARTAL

In this study, business intelligence concept and architecture were explained from data sources to reporting with many advantages provided to institutions in the first part. Then, both cloud computing technology with its service and deployment models and the characteristics of cloud computing experienced clarified in the second part of the study. The relationship between cloud computing and business intelligence and the concept arisen from this collaboration, cloud business intelligence, were represented with its benefits and obstacles experienced by companies using this technology in the third part. Four service providers as alternatives serving cloud business intelligence solutions were selected and the criteria were determined according to the needs of the company, that would like to use a cloud business intelligence software. After all the criteria are prioritized and the alternatives are determined, the best software was chosen by using the Analytic Hierarchical Process software, called Expert Choice.

Author(s):  
Theo Lynn

Abstract Cloud computing is the dominant paradigm in modern computing, used by billions of Internet users worldwide. It is a market dominated by a small number of hyperscale cloud service providers. The overwhelming majority of cloud customers agree to standard form click-wrap contracts, with no opportunity to negotiate specific terms and conditions. Few cloud customers read the contracts that they agree to. It is clear that contracts in cloud computing are primarily an instrument of control benefiting one side, the cloud service provider. This chapter provides an introduction to the relationship between psychological trust, contracts and contract law. It also offers an overview of the key contract law issues that arise in cloud computing and introduces some emerging paradigms in cloud computing and contracts.


2021 ◽  
Author(s):  
Abdullah A Al-Fawwaz ◽  
Yousif M. Al-Dhafiri ◽  
Muhammad N Akhtar ◽  
Samad Ali ◽  
Muhammad Ibrahim ◽  
...  

Abstract The main objective of this study is to run a high-resolution dynamic simulation on a 521-million cell gas condensate field model for 50 years and capture the effects of gas condensate dropout. Two challenges were encountered on the user and service provider levels. The former is performing such work in a remote location with limited processing hardware resources. The latter is related to resolving memory, CPU allocation, technical support, system resources availability, integration between providers, and simulation needs on user demand. The approach adopted in this field development planning study was to utilize the latest cloud technology to run the 521 million cell simulation on cloud clusters as well as two upscaled versions (5 and 21 million cells). Such procedures can save significant processing time and money. As opposed to direct purchase and installation of clusters that require maintenance, updates, and become outdated over time, with a cloud cluster that is kept updated and maintained by service providers, significant cost overheads (in millions) could be saved. Using such technology allows operators to get global technical support making executing such simulations viable even in the most remote locations. The field under study is a gas condensate field that on its own can present multiple challenges including the gas condensate banking impact and compositional modeling. The main strategy adopted in this study was to utilize the static model with no upscaling, to capture the geological details. With the utilization of cloud technology, all simulations were completed in record time. The 5 million cell model was executed in 23 min, while the 21 million cell model executed in 4 hours, and the 521 million executed in 65 hours. The results of the simulations showed that the gas condensate banking effect was captured clearly after the implementation of local grid refinement (LGR) on the upscaled models. A good match was observed in the production profiles for all key parameters, such as gas rates, oil and condensate rates and their cumulative productions. Using cloud technology saved the operating company over 5 million dollars in cluster hardware direct purchase, support and maintenance costs, making the utilization of the cloud computing technology not only economical, but also bringing about operational efficiencies. This is the first time a cloud-based dynamic simulation is performed on a 521 million cell model in the world and the first time, an on-demand reservoir simulation based on cloud computing technology has been conducted in the Middle East region. This paper will also show that, given the right model parameters, carefully built smaller models can yield results similar to larger models, highlighting the importance of efficiency.


Author(s):  
Thierry Sauvage

Our work discusses the results of a survey among French logistics service providers. In a highly competitive context characterized by “time compression”, technological effort becomes a key variable and a means of differentiation between third‐party logistics providers. The success of logistics outsourcing relationships is entrenched in the third‐party's technological ability to improve the supply chain reactivity.


Author(s):  
Dhimas Dirgantara ◽  
Is Mardianto

In this era, traditional technologies such as having servers and various kinds of hardware have been abandoned by large companies, which are turning to cloud computing technology. This technology makes it easier for companies to run their business. Of the many cloud computing service providers, Amazon Web Service (AWS) is one of the first and biggest service providers. Problems that occur in the use of cloud computing technology is the provision of access rights in data management. AWS has a service to manage access control for each service, namely Identity and Access Management (IAM). This service seeks to prevent activities that lead to security breaches. The results obtained are in the form of groups that can access AWS services according to the role given. Pada era ini, teknologi tradisional seperti memiliki server dan berbagai macam hardware telah ditinggalkan oleh perusahaan besar, yang beralih pada teknologi cloud computing. Teknologi ini memudahkan perusahaan dalam menjalankan bisnisnya. Dari banyaknya penyedia layanan cloud computing, Amazon Web Service (AWS) adalah salah satu penyedia layanan pertama dan yang terbesar. Masalah-masalah yang terjadi dalam penggunaan teknologi cloud computing adalah pemberian hak akses dalam melakukan manajemen data. AWS memiliki suatu layanan untuk mengatur kendali akses pada setiap layanan yaitu Identity and Access Management (IAM). Layanan ini berupaya mencegah aktivitas yang mengarah pada pelanggaran keamanan. Hasil yang didapatkan berupa group yang dapat mengakses layanan AWS sesuai dengan role yang diberikan.


2016 ◽  
pp. 67-87
Author(s):  
Wei Chen ◽  
Yun Wan ◽  
Bo Peng ◽  
Christopher I Amos

This chapter discusses the latest development of using cloud-computing technology for genome sequencing in bioinformatics field. It introduces the definition of genome sequencing and cloud computing, discussed the current status of NGS in cloud with the example of Nimbix. It also provides a rich source of cloud computing related service providers and technologies for references. Finally, it discusses the challenges of conducting NGS in a cloud environment.


Author(s):  
A. A. Izang ◽  
Y. A. Mensah ◽  
O. J. Omotosho ◽  
C. P. Obioma

Cloud computing is an emerging technology paradigm, which enable and facilitate the dynamic and versatile provision of computational solutions and helps. Despite the fact that the advantages provided by cloud computing are several, security and secrecy concern of the cloud services still race question from users. Security stance of organizations and vital infrastructures is being affected with the Use of cloud services, thus it is necessary that new threats and risks introduced by this new paradigm are clearly understood and mitigated. This paper focus on the ethical constraints in cloud computing, placing emphasis on issues that deal with cloud adoption, recent additions to the cloud, ethical issues like The shifting of control, from technology users to the third parties servicing the cloud due to outsourcing and offshoring of ICT functionality to the cloud and as well as many other issues regarding cloud computing. To this end, this paper intimate us with some new ways cloud service providers has been improving this field of study so as to improve its adoption in the world. It was discovered that cloud computing is becoming the world 5th most demanded service after crude oil, water, electricity and Telephony as stipulated by many other researcher’s in this field.


2020 ◽  
Vol 17 (9) ◽  
pp. 4411-4418
Author(s):  
S. Jagannatha ◽  
B. N. Tulasimala

In the world of information communication technology (ICT) the term Cloud Computing has been the buzz word. Cloud computing is changing its definition the way technocrats are using it according to the environment. Cloud computing as a definition remains very contentious. Definition is stated liable to a particular application with no unanimous definition, making it altogether elusive. In spite of this, it is this technology which is revolutionizing the traditional usage of computer hardware, software, data storage media, processing mechanism with more of benefits to the stake holders. In the past, the use of autonomous computers and the nodes that were interconnected forming the computer networks with shared software resources had minimized the cost on hardware and also on the software to certain extent. Thus evolutionary changes in computing technology over a few decades has brought in the platform and environment changes in machine architecture, operating system, network connectivity and application workload. This has made the commercial use of technology more predominant. Instead of centralized systems, parallel and distributed systems will be more preferred to solve computational problems in the business domain. These hardware are ideal to solve large-scale problems over internet. This computing model is data-intensive and networkcentric. Most of the organizations with ICT used to feel storing of huge data, maintaining, processing of the same and communication through internet for automating the entire process a challenge. In this paper we explore the growth of CC technology over several years. How high performance computing systems and high throughput computing systems enhance computational performance and also how cloud computing technology according to various experts, scientific community and also the service providers is going to be more cost effective through different dimensions of business aspects.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Michel Benaroch

Abstract Growing reliance on third-party services, such as cloud computing, is believed to increase client firms’ exposure to third-party induced cyber incidents. However, we lack empirical research on the prevalence and scale of third-party induced cyber incidents. Moreover, we do not know who pays more of the price for experiencing these incidents—the client firm and/or the third-party provider firm. We study these questions using a sample of 1397 cyber incidents in public firms between 2000 and 2020 of which 246 are third-party induced incidents. Our findings offer several novel insights. Third-party induced cyber incidents are not growing in prevalence any faster than other incidents, but they do compromise greater volumes of confidential data per incident. As to the price paid for third-party induced incidents, the picture is more nuanced. Client (first-party) firms suffer drops in equity returns that are comparable to those for homegrown incidents, while small third-party provider firms suffer significantly larger drops in equity returns and large third-party provider firms do not suffer a discernible drop in equity returns. We discuss implications of these findings for client firms and service providers.


Author(s):  
Wei Chen ◽  
Yun Wan ◽  
Bo Peng ◽  
Christopher I Amos

This chapter discussed the latest development of using cloud-computing technology for genome sequencing in bioinformatics field. It introduced the definition of genome sequencing and cloud computing, discussed the current status of NGS in cloud with the example of Nimbix. It also provided a rich source of cloud computing related service providers and technologies for references. Finally, it discussed the challenges of conducting NGS in a cloud environment.


Author(s):  
Yuan Zheng ◽  
Xiangbin Wen

With the continuous innovation and development of modern computer science and mobile Internet and other information technologies, artificial intelligence (AI) is not a new thing. It has been widely studied and applied in many fields, and it is very important for people in modern society. The research fields of artificial intelligence mainly include: deep learning, natural language processing, computer vision, intelligent robot, automatic programming, data mining and so on. All kinds of industrial production and daily life will bring a very important practical significance and far-reaching influence. The rapid development and improvement of AI have effectively changed the daily life of modern people and improved work efficiency, and promoted the vigorous and healthy development of human economic and social civilization and the progress of information technology. When widely used, traditional network information and big data processing technologies are difficult to adapt to its development needs. Only by closely combining cloud computing technology with other technologies can it play a better role and give full play to AI technology and its development. The enthusiasm and promotion of related application technologies have promoted the smooth progress of AI technology and related undertakings. With the development and improvement of cloud computing technology, more and more users tend to use the cloud to work. However, a large number of cloud service failures occurred, causing huge losses for enterprises and individuals. In order to prevent damage to the interests of enterprises and individuals, cloud service providers will provide high-quality services as much as possible. This paper aims to study the application of AI technology in cloud computing environment resources, research on the indicator of reliability, and propose a cloud service reliability verification method for the infrastructure-as-a-service layer. Experimental research shows that through the reliability detection method in this paper, users can easily and quickly obtain the reliability of the purchased cloud service, and can intuitively feel whether the performance of each server meets the promised situation in the cloud service provider’s SLA.


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