scholarly journals Research on failure rate of self-service payment terminal of power supply company based on cloud computing

2021 ◽  
Vol 680 (1) ◽  
pp. 012007
Author(s):  
Ming Feng Xu ◽  
Fei Song ◽  
Yan Jun Sun ◽  
Shan Lang ◽  
Wen Long Ma
Keyword(s):  
Cloud Computing ◽  
Failure Rate ◽  
Power Supply ◽  
Self Service

Security and Privacy Issues, Solutions, and Tools for MCC

2017 ◽  
pp. 121-147 ◽  
Author(s):  
Darshan M. Tank
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Mobile Network ◽  
Wireless Channel ◽  
Security And Privacy ◽  
Mobile Cloud ◽  
Processing Power ◽  
Key Issues ◽  
Self Service

With the development of cloud computing and mobility, mobile cloud computing has emerged and become a focus of research. Mobile Cloud Computing (MCC) integrates mobile computing and cloud computing aiming to extend mobile devices capabilities. By the means of on-demand self-service and extendibility, it can offer the infrastructure, platform, and software services in a cloud to mobile users through the mobile network. There is huge market for mobile based e-Commerce applications across the globe. Security and privacy are the key issues for mobile cloud computing applications. The limited processing power and memory of a mobile device dependent on inherently unreliable wireless channel for communication and battery for power leaves little scope for a reliable security layer. Thus there is a need for a lightweight secure framework that provides security with minimum communication and processing overhead on mobile devices. The security and privacy protection services can be achieved with the help of secure mobile-cloud application services.

scholarly journals SLA-aware resource scheduling algorithm for cloud storage

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yong Wang ◽  
Xiaoling Tao ◽  
Feng Zhao ◽  
Bo Tian ◽  
Akshita Maradapu Vera Venkata Sai
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Scheduling Algorithm ◽  
The Public ◽  
Computing Paradigm ◽  
Self Service ◽  
End Node ◽  
Violation Rate ◽  
And Storage ◽  
Compare And Contrast

AbstractCloud computing is a novel computing paradigm, which connects plenty of computing resources and storage resources via Internet. Cloud computing provides a number of high-quality services, such as cloud storage, outsourcing computing, and on-demand self-service, which have been widely accepted by the public. In cloud computing, by submitting their tasks to cloud, plenty of applications share huge computation and storage resources. However, how to schedule resource efficiently is a big challenge in cloud computing.In this paper, we propose a SLA-aware resource algorithm to enable cloud storage more efficiently. In our scheme, we take advantage of the back-end node space utilization and I/O throughput comprehensively simultaneously. We compare and contrast the existing scheduling storage policies by implementing those algorithms. The extensive tests show that our algorithm achieves a considerable improvement in terms of violation rate and the number of used hosts.

The Virtual Computing Lab (VCL)

2014 ◽  
Vol 5 (2) ◽  
pp. 51-63 ◽  
Author(s):  
Andy Rindos ◽  
Mladen Vouk ◽  
Yaser Jararweh
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Academic Community ◽  
State University ◽  
Related Services ◽  
Virtual Computing ◽  
Cloud Computing System ◽  
Self Service ◽  
Research And Education ◽  
Number Of Customers

In this paper, we describe the Virtual Computing Lab (VCL) with its main features and services. Also, we introduce the recent advances of the VCL system and its usage in research and education. The VCL is a cloud computing system that has been optimized for the educational services and research needs of the academic community. VCL is an open source cloud orchestration stack with a self-service portal that currently supports a large number of customers and commercial cloud, or cloud-related services and solutions. It was developed by NCSU with support from IBM Corporation. VCLs promise to support researchers and students in all academic levels to fulfill all their computing needs. In addition to supporting students and faculty members at NC State University and other UNC System universities, the NC VCL now also supports students at several NC community colleges. Also, we introduced cloud computing and service science related activities and achievements at Jordan University of Science and Technology.

scholarly journals CLOUD COMPUTING: TEORI DAN IMPLEMENTASINYA DALAM DUNIA BISNIS DAN PEMASARAN

CCIT Journal ◽  
2012 ◽  
Vol 5 (2) ◽  
pp. 145-167
Author(s):  
Sudaryono Sudaryono ◽  
Diah Aryani ◽  
Ira Tyas Ningrum
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Access Network ◽  
Broadband Access ◽  
Resource Pooling ◽  
Platform As A Service ◽  
On Demand ◽  
Information Technology Services ◽  
Technology Services ◽  
Self Service

Cloud computing is a technology that utilizes the internet services using a central server with the goal of maintaining a virtual nature of data and applications. The presence of cloud computing will obviously lead to changes in the workings of information technologysystems within an organization. This is because the concepts of cloud computing through virtualization, standardization and other fundamental features can reduce information technology costs, simplify the management of information technology services, andaccelerating service delivery. In general, cloud computing architecture consists of: (1) Infrastructure as a Service (IaaS), (2) Platform as a Service (PaaS), and (3) Software as a Service (SaaS). Characteristics of cloud computing are: (1) self-service (on demand self service), (2) broadband access (broadband access network), (3) clustered resource (resource pooling), (4) elastic (rapid elasticity), and (5) measured service (measuredservice). While the advantages of cloud computing is: (1) without any initial investment, (2) convert CAPEX into OPEX, (3) flexible and easily developed, (4) focus on the business, rather than information technology, and (5) of control and responsibility of service. Withcloud computing consumers free themselves from the responsibility for managing the stack of computing resources. Levels ranging from SaaS when it is completely free, PaaS while still must make an application, and IaaS are still busy with the operating system. Thiscontrasts with On-Premise to take care of all your own.

scholarly journals Challenges of cloud computing use: A systematic literature review

2018 ◽  
Vol 200 ◽  
pp. 00007 ◽  
Author(s):  
Ibtissam M’rhaoaurh ◽  
Chafik Okar ◽  
Abdelwahed Namir ◽  
Nadia Chafiq
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Service Delivery ◽  
Systematic Literature Review ◽  
Service Access ◽  
New Paradigm ◽  
It Service ◽  
Cloud Computing Adoption ◽  
Self Service ◽  
Systematic Framework

Background: In recent years, cloud computing has grown vastly. Cloud computing represents a new model for IT service delivery and it typically provides over-a-network, ondemand, self-service access, which is dynamically scalable and elastic, using pools of often virtualized resources. However, this new paradigm is facing diverse challenges from many fronts. Methods: We conducted a systematic literature review of potential challenges of cloud computing. Documents that described challenges of cloud computing were collected of routinely. We grouped identified challenges in taxonomy for a focused international dialogue on solutions. Results: Twenty-three potential challenges were identified and classified in three categories: policy and organizational, technical and legal. The first three categories are deeply rooted in well-known challenges of cloud computing. Conclusions: The simultaneous effect of multiple interacting challenges ranging from technical to intangible issues has greatly complicated advances in cloud computing adoption. A systematic framework of challenges of cloud computing will be essential to accelerate the use of this technology for working well in fact and in order to face with respect to mitigating IT-related cloud computing risks.

Architectural Strategies for Green Cloud Computing

2011 ◽  
Vol 1 (4) ◽  
pp. 1-24 ◽  
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
Service Oriented Architecture ◽  
Green Cloud Computing ◽  
Business Agility ◽  
Service Oriented ◽  
Green Cloud ◽  
Self Service ◽  
And Performance ◽  
Cloud Network ◽  
It Efficiency

Opportunities for improving IT efficiency and performance through centralization of resources have increased dramatically in the past few years with the maturation of technologies, such as service oriented architecture, virtualization, grid computing, and management automation. A natural outcome of this is what has become increasingly referred to as cloud computing, where a consumer of computational capabilities sets up or makes use of computing in the cloud network in a self service manner. Cloud computing is evolving, and enterprises are setting up cloud-like, centralized shared infrastructures with automated capacity adjustment that internal departmental customers utilize in a self service manner. Cloud computing promises to speed application deployment, increase innovation, and lower costs all while increasing business agility. This paper discusses the various architectural strategies for clean and green cloud computing. It suggests a variety of ways to take advantage of cloud applications and help identify key issues to figure out the best approach for research and business.

Security and Privacy Issues, Solutions, and Tools for MCC

2016 ◽  
pp. 79-99
Author(s):  
Darshan M. Tank
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Mobile Network ◽  
Wireless Channel ◽  
Security And Privacy ◽  
Mobile Cloud ◽  
Processing Power ◽  
Key Issues ◽  
Self Service

With the development of cloud computing and mobility, mobile cloud computing has emerged and become a focus of research. Mobile Cloud Computing (MCC) integrates mobile computing and cloud computing aiming to extend mobile devices capabilities. By the means of on-demand self-service and extendibility, it can offer the infrastructure, platform, and software services in a cloud to mobile users through the mobile network. There is huge market for mobile based e-Commerce applications across the globe. Security and privacy are the key issues for mobile cloud computing applications. The limited processing power and memory of a mobile device dependent on inherently unreliable wireless channel for communication and battery for power leaves little scope for a reliable security layer. Thus there is a need for a lightweight secure framework that provides security with minimum communication and processing overhead on mobile devices. The security and privacy protection services can be achieved with the help of secure mobile-cloud application services.

The Rise of Embedded Analytics

2019 ◽  
pp. 21-43
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran
Keyword(s):  
Cloud Computing ◽  
Conceptual Model ◽  
Service Industry ◽  
Business Leaders ◽  
The Internet ◽  
Successful Implementation ◽  
Potential Benefits ◽  
Analytic Strategy ◽  
Self Service ◽  
Internet Revolution

The internet revolution, cloud computing, and the evolution to self-service analytics have all contributed to the changing dimensions of business intelligence. To compete effectively in a digitally driven world, business leaders must understand and address the critical shifts taking place in the field of analytics, and how these shifts impact their overall strategy. The key objective of this chapter is to propose a conceptual model for successful implementation of embedded analytics in organizations. This chapter also covers some of the potential benefits of analytics, explores the changing dimensions of analytics, and provides a guide to some of the opportunities that are available for using embedded analytics in business. Furthermore, this study reviews key attributes of a successful modern analytics platform and illustrates how to overcome some of the key challenges of incorporating embedded analytics into an analytic strategy in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.

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