First Time Utilization of Cloud-Based Technology to Fast Track A 521 Million Cell Gas Condensate Reservoir Dynamic Model: A Case Study from Saudi Arabia

2021 ◽  
Author(s):  
Abdullah A Al-Fawwaz ◽  
Yousif M. Al-Dhafiri ◽  
Muhammad N Akhtar ◽  
Samad Ali ◽  
Muhammad Ibrahim ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Dynamic Simulation ◽  
Service Providers ◽  
Cell Model ◽  
Technical Support ◽  
Gas Condensate ◽  
Model Parameters ◽  
Computing Technology ◽  
Cloud Technology ◽  
First Time

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 As opposed to direct purchase and installation of clusters that require maintenance, updates, and become outdated over time, with a cloud cluster that is kept updated and maintained by service providers, significant cost overheads (in millions) could be saved.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.

Performance Analysis of Cloud Computing Centers for Bulk Services

2012 ◽  
Vol 2 (4) ◽  
pp. 53-65 ◽  
Author(s):  
Veena Goswami ◽  
Sudhansu Shekhar Patra ◽  
G. B. Mund
Keyword(s):  
Cloud Computing ◽  
Performance Measures ◽  
Service Providers ◽  
Blocking Probability ◽  
Cloud Service ◽  
Model Parameters ◽  
Queuing Model ◽  
Service Oriented ◽  
Computing Centers ◽  
Access To Data

Cloud is a service oriented platform where all kinds of virtual resources are treated as services to users. Several cloud service providers have offered different capabilities for a variety of market segments over the past few years. The most important aspects of cloud computing are resource scheduling, performance measures, and user requests. Sluggish access to data, applications, and web pages spoils employees and customers alike, as well as cause application crashes and data losses. In this paper, the authors propose an analytical queuing model for performance evaluation of cloud server farms for processing bulk data. Some important performance measures such as mean number of tasks in the queue, blocking probability, and probability of immediate service, and waiting-time distribution in the system have also been discussed. Finally, a variety of numerical results showing the effect of model parameters on key performance measures are presented.

scholarly journals TEKNIK IDENTITY AND ACCESS MANAGEMENT PADA LAYANAN AMAZON WEB SERVICES

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Dhimas Dirgantara ◽  
Is Mardianto
Keyword(s):  
Cloud Computing ◽  
Web Service ◽  
Service Providers ◽  
Access Management ◽  
Computing Technology ◽  
Security Breaches ◽  
Cloud Computing Service ◽  
Amazon Web Services ◽  
Access Rights ◽  
The Many

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.

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
Keyword(s):  
Cloud Computing ◽  
Business Intelligence ◽  
Service Providers ◽  
Data Sources ◽  
Computing Technology ◽  
The Third ◽  
Expert Choice ◽  
Analytic Hierarchical Process ◽  
The Relationship

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.

Genome Sequencing in the Cloud

2016 ◽  
pp. 67-87
Author(s):  
Wei Chen ◽  
Yun Wan ◽  
Bo Peng ◽  
Christopher I Amos
Keyword(s):  
Cloud Computing ◽  
Genome Sequencing ◽  
Service Providers ◽  
Rich Source ◽  
Current Status ◽  
Cloud Environment ◽  
Computing Technology ◽  
Related Service ◽  
Definition Of

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.

A Comprehensive Study on Commercial Applications of Cloud Computing

2020 ◽  
Vol 17 (9) ◽  
pp. 4411-4418
Author(s):  
S. Jagannatha ◽  
B. N. Tulasimala
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Computer Hardware ◽  
Computing Technology ◽  
Computing Systems ◽  
Computational Performance

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.

Genome Sequencing in the Cloud

2015 ◽  
pp. 318-339
Author(s):  
Wei Chen ◽  
Yun Wan ◽  
Bo Peng ◽  
Christopher I Amos
Keyword(s):  
Cloud Computing ◽  
Genome Sequencing ◽  
Service Providers ◽  
Rich Source ◽  
Current Status ◽  
Cloud Environment ◽  
Computing Technology ◽  
Related Service ◽  
Definition Of

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.

scholarly journals Adoption of Cloud Computing Technology for Effective University Administration in Nigeria

2020 ◽  
pp. 1-8
Author(s):  
Imran A. Adeleke ◽  
Ismail O. Muraina ◽  
Kazeem K. Adegbuyi
Keyword(s):  
Cloud Computing ◽  
University Administration ◽  
Computing Technology ◽  
Cloud Technology ◽  
Cloud Adoption ◽  
Effective Administration ◽  
Delivery Services ◽  
Threat Mitigation ◽  
Mitigation Techniques ◽  
Computer Resources

Cloud computing is a technology that represents a shift from the traditional ownership of infrastructure and other resources to a more scalable pattern in which computer resources are rented online to organizations on either as a pay-as-you-use basis or by subscription. The researcher is motivated to undertake this study due to cloud computing growing awareness which has led to the increasing adoption of the technology by organizations in Nigeria including educational sector. However, the challenges that comes with the technology slow down the rate of its adoption by many universities in Nigeria and making them unconvinced to entrust into the cloud technology. This work investigates the use of cloud computing technology for effective administration in Nigerian universities. From analysis, the research reveals the strengths, weaknesses, opportunities and threats in the adoption of cloud technology and points out the concerns and challenges impeding its adoption. It further discusses the enormous benefits the universities stand to gain for adopting the cloud technology and proffers threat mitigation techniques to prevent the occurrence of the impediment towards the cloud adoption. The finding also recommends some cloud platforms as a means of IT delivery services for effective university administration.

scholarly journals The Application of Artificial Intelligence Technology in Cloud Computing Environment Resources

2021 ◽  
Author(s):  
Yuan Zheng ◽  
Xiangbin Wen
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Service Providers ◽  
Daily Life ◽  
Cloud Service ◽  
Mobile Internet ◽  
Computing Environment ◽  
Computing Technology ◽  
Processing Technologies ◽  
Cloud Computing Environment

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.

Performance Optimization of network using load balancer Techniques

2021 ◽  
Vol 10 (3) ◽  
pp. 2645-2650
Keyword(s):  
Cloud Computing ◽  
Performance Optimization ◽  
Service Providers ◽  
Cloud Security ◽  
The Internet ◽  
Computing Technology ◽  
And Performance ◽  
The Many ◽  
Load Balancer ◽  
The Web

Load Balancer helps in increasing the speed of transmission of data across the web. It increases the performance of the network by reducing network traffic and increasing the responsiveness of the application. Two devices can connect and communicate data to one another thanks to a set of standardized rules. Participants on the internet or their service providers are assigned IP addresses by address registries. In certain conditions the protocol performs better by managing the throughput and connectivity.Cloud computing is a pioneer among the rising technologies in the IT world today. Even though cloud computing has been around for a few years, the globe has yet to reap the full benefits of this technology. Among the many revolutionary effects envisaged as a result of theThere have been few successes with cloud computing technology, and the rest of the goals are currently being worked on.research. Cloud Security and Performance are two of the most significant barriers to cloud computing adoption.stability. One of the variables that has an impact on cloud performance stability is load balancing.computing.

scholarly journals A Review on AWS - Cloud Computing Technology

2022 ◽  
Vol 10 (1) ◽  
pp. 258-263
Author(s):  
Neha Kewate
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Cloud Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
Service Industries ◽  
Cloud Platform ◽  
Computing Technology ◽  
And Storage

Abstract: Cloud computing is something simple we can define as maintaining data centers and data servers and also u can access technology services by computing power, storage, and database using cloud computing technology AWS(Amazon Web Services). It is an emerged model which is already popular among almost all enterprises. It provides us the concept of ondemand services where we are using and scaling cloud resources on demand and as per demand respectively. AWS Cloud computing is a cost-effective model. The major concern in this model is Security and Storage in the cloud. This is one of the major reasons many enterprises of choosing AWS cloud computing. This paper provides a review of security research in the field of cloud security and storage services of the AWS cloud platform. After security and storage, we have presented the working of AWS (Amazon Web Service) cloud computing. AWS is the most trusted provider of cloud computing which not only provides excellent cloud security but also provides excellent cloud storage services. The main aim of this paper is to make cloud computing storage and security a core operation and not an add-on operation. As per the increase in the Service provider and related companies, this AWS Cloud Platform plays a vital role in service industries by giving its best web services, so, therefore, choosing the cloud service providers wisely is the basic need of the industry. Therefore we are going to see how AWS fulfills all these specific needs. Keywords: Trusted Computing, AWS, Information-Centric Security, Cloud Storage, S3, EC2, Cloud Computing

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