scholarly journals Cloud Computing dan Dampaknya Terhadap Bisnis

Author(s):  
James Tandy ◽  
Siswono Siswono

The purpose of this paper is to provide an overview of cloud computing and its development as well as the advantages and disadvantages of cloud computing implementation at some companies. Some literature studies from journals, textbooks and internet sources are discussed. Based on these searches it is known that the cloud computing as a technology that utilizes internet services uses a central server to the virtual nature of data and application maintenance purposes. The existence of Cloud Computing itself causes a change in the way thetechnology information system works at an company. Security and data storage systems have become important factors for the company.Cloud Computing technology provides a great advantage for most enterprises.

2020 ◽  
Vol 7 (3) ◽  
pp. 439
Author(s):  
Eri Riana

Cloud Computing technology is a new paradigm in the delivery of computing services, Cloud Computing has many advantages compared to conventional systems usually. The development of business at this time began to compete globally to be able to satisfy customers, so companies need access to information that is fast and accurate. In order to access information quickly, companies need to build Information and Communication Technology infrastructure that requires large capital, on the other hand cloud computing is present as an alternative solution. Services provided by cloud computing include hardware, infrastructure, platforms and applications. Cloud computing is very useful, because it can reduce computing costs, increase reliability and provide considerable opportunities for the industrial world. One company that provides cloud computing services is Google. The features of cloud computing are believed to be far more efficient and satisfying. The problem that arises is how companies implement Cloud Computing using Google Cloud and how to carry out the process of deployment and provisioning of Google Cloud SQL Database. The purpose of this research is to provide a study of the benefits of implementing Google Cloud for companies to improve business competitiveness so tightly. This research uses Agile method and literature study, which begins with planning, implementation, testing, documentation, deployment, maintenance, problem identification and analysis and discussion related to Google Cloud, where the results of this research are that Google Cloud can create a model business is more flexible, and faster. The purpose of writing this journal is to provide an overview of the understanding of cloud computing and its development as well as the advantages and disadvantages of companies that use Cloud Computing technology. Based on these searches it is known that Cloud Computing as a technology that utilizes internet services uses a virtual central server for the purpose of maintaining data and applications. The existence of Cloud Computing itself has caused changes in the workings of information technology systems in a company. Security and data storage systems are important for companies. Cloud Computing technology has provided huge benefits for most companies. To carry out the process, the device needs to be prepared include hardware such as HPE DL 20 Gen 10 E-2136-4 SFF Server Computer, 2x1 TB SATA 7.2K 3.5 "Hard Drive, 256GB RAM, minimum bandwidth of 5 Mbps and software requirements including Windows Server 2012 R2 Enterprise, VMM, Google Cloud Platform Enterprise, SQL Server 2012


2020 ◽  
Vol 19 ◽  

Fog computing is a promising technology that is used by many organizations and end-users. It has characteristics and advantages that offer services such as computing, storage, communication, and application services. It facilitates these services to end-users and allows to increase the number of devices that can connect to the network. In this paper, we provide a survey of Fog computing technology in terms of its architecture, features, advantages and disadvantages. We provide a comparison of this model with Cloud Computing, Mobile-Edge Computing, and Cloudlet Computing. We also present challenges and issues that face Fog Computing such as privacy and security, control and management, fog networking and task scheduling. Finally, we discuss aspects of Fog computing security and the benefits of integration between Fog computing and other techniques like Internet of Things and Cloud Computing.


2020 ◽  
Vol 165 ◽  
pp. 03012
Author(s):  
Liu Qiong ◽  
Zeng Dongling ◽  
Ouyang Zhengping ◽  
Zhang Yinzu ◽  
Yang Yongchang ◽  
...  

With the rapid development of Internet cloud computing technology, big data and visualization and other new technologies, the powerful data storage, calculation and analysis capabilities of new technologies provide favorable conditions for improving the timeliness, reliability and informatization level of foundation pit monitoring. By using SaaS mode and cloud computing technology, this paper subdivides the requirements of foundation pit monitoring work, and puts forward solutions according to design thinking and design means. The foundation pit monitoring information cloud platform is built in the way of Cloud Architecture, which greatly improves the efficiency of foundation pit monitoring, and realizes the high sharing of monitoring data information and platform resources.


Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1379
Author(s):  
Umer Ahmed Butt ◽  
Muhammad Mehmood ◽  
Syed Bilal Hussain Shah ◽  
Rashid Amin ◽  
M. Waqas Shaukat ◽  
...  

Cloud computing (CC) is on-demand accessibility of network resources, especially data storage and processing power, without special and direct management by the users. CC recently has emerged as a set of public and private datacenters that offers the client a single platform across the Internet. Edge computing is an evolving computing paradigm that brings computation and information storage nearer to the end-users to improve response times and spare transmission capacity. Mobile CC (MCC) uses distributed computing to convey applications to cell phones. However, CC and edge computing have security challenges, including vulnerability for clients and association acknowledgment, that delay the rapid adoption of computing models. Machine learning (ML) is the investigation of computer algorithms that improve naturally through experience. In this review paper, we present an analysis of CC security threats, issues, and solutions that utilized one or several ML algorithms. We review different ML algorithms that are used to overcome the cloud security issues including supervised, unsupervised, semi-supervised, and reinforcement learning. Then, we compare the performance of each technique based on their features, advantages, and disadvantages. Moreover, we enlist future research directions to secure CC models.


2013 ◽  
Vol 373-375 ◽  
pp. 1710-1713
Author(s):  
Jian Zhang

With the development of the computer technology and the increase of the distributed computing need, cloud computing gradually becomes the research hotspot in the IT domain. As an important application of cloud computing technology, desktop cloud has been used in many domains due to its unique characteristic, especially the dominance in security and flexibility. Based on analyzing the characteristic of cloud computing and desktop cloud, makes some research on the application of desktop cloud to confidential information system, and describes the architecture framework, running mode and operation characteristic in detail.


Author(s):  
Lina Samir Malouf

With data growth very fast, the need for data storage and management in the cloud in a secure way is rapidly increasing, leading developers to find secure data management solutions through new technologies. One of the most advanced technologies at present is cloud computing technology that functions as an online service. Cloud computing technology relies on an external provider to provide online demand services. On the other hand, this technology is pay-for-use technology which means that the user must pay for each service provided by the provider. When we have a look back at the literature, we can find that regular database management systems with query processing specifications do not meet the requirements in cloud computing. This paper focuses on homogeneous coding, which is used primarily for knowledge security within the cloud. Homomorphic encryption has been clarified because of encryption technology in which specific operations can be managed on encrypted data information.


2020 ◽  
pp. 082-093
Author(s):  
S.Yu. Punda ◽  
◽  

A review of modern data storage architectures was conducted, the advantages and disadvantages of each of them were given. The data storage systems of the IBM FlashSystem family were analyzed, as well as Spectrum Virtualize software, which is responsible for virtualization, compression, distribution and replication of data stored on the storage system. A mathematical model of the data storage system of IBM Storwize v5030E was developed. Well-known metrics are used to evaluate its performance when using spindle and solid-state drives. The effect of hardware and software data compression on system performance has been experimentally revealed. Recommendations are formulated by which it is possible to determine which media and which technology stack should be used by a business user to complete the tasks assigned to him.


10.29007/nc47 ◽  
2018 ◽  
Author(s):  
Manu Sharma

In the world of Digital Innovation “Cloud Computing” is not just a word or a technology but a paramount to the organizations now days. Because it is not easy to store, compute the data on an internet and central remote server to manage a huge bulk of data and information. It is well known that cloud computing provides data, storage of data, computation of data to the end user also by providing the services to the end users by the different applications. So, now the Fog Computing Is generally a concept to extend the cloud computing technology as it also does the same function which cloud computing functionality as well. It is not the replacement but the enhanced version of cloud which provides a security on the cloud environment by isolating user’s data which is saved on the Edge Devices. Fog Computing enables a user to save their data to nearby devices. In this paper the security issues also the technology which is used for security in this enhanced concept of cloud is mentioned.


2013 ◽  
Vol 443 ◽  
pp. 477-481
Author(s):  
Kai Song

Cloud storage, data storage means occurring in recent years is based on cloud computing technology. It is the inevitable trend of data storage in the future. The article describes the definition and characteristics of cloud computing and design a generic cloud computing architecture, given its storage technology for cloud computing, cloud storage system architecture model. At last, the paper prospects the tendency of cloud computing and its storage technology.


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.


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