A new BRB model for security-state assessment of cloud computing based on the impact of external and internal environments

2018 ◽  
Vol 73 ◽  
pp. 207-218 ◽  
Author(s):  
Hang Wei ◽  
Guan-Yu Hu ◽  
Zhi-Jie Zhou ◽  
Pei-Li Qiao ◽  
Zhi-Guo Zhou ◽  
...  
Keyword(s):  
Cloud Computing ◽  
State Assessment ◽  
The Impact

scholarly journals The Tapio Decoupling Principle and Key Strategies for Changing Factors of Chinese Urban Carbon Footprint Based on Cloud Computing

2021 ◽  
Vol 18 (4) ◽  
pp. 2101
Author(s):  
Min Shang ◽  
Ji Luo
Keyword(s):  
Economic Growth ◽  
Cloud Computing ◽  
Carbon Footprint ◽  
Driving Factors ◽  
City Size ◽  
Series Data ◽  
Marginal Effect ◽  
Low Carbon ◽  
The Impact ◽  
Xi’An City

The expansion of Xi’an City has caused the consumption of energy and land resources, leading to serious environmental pollution problems. For this purpose, this study was carried out to measure the carbon carrying capacity, net carbon footprint and net carbon footprint pressure index of Xi’an City, and to characterize the carbon sequestration capacity of Xi’an ecosystem, thereby laying a foundation for developing comprehensive and reasonable low-carbon development measures. This study expects to provide a reference for China to develop a low-carbon economy through Tapio decoupling principle. The decoupling relationship between CO2 and driving factors was explored through Tapio decoupling model. The time-series data was used to calculate the carbon footprint. The auto-encoder in deep learning technology was combined with the parallel algorithm in cloud computing. A general multilayer perceptron neural network realized by a parallel BP learning algorithm was proposed based on Map-Reduce on a cloud computing cluster. A partial least squares (PLS) regression model was constructed to analyze driving factors. The results show that in terms of city size, the variable importance in projection (VIP) output of the urbanization rate has a strong inhibitory effect on carbon footprint growth, and the VIP value of permanent population ranks the last; in terms of economic development, the impact of fixed asset investment and added value of the secondary industry on carbon footprint ranks third and fourth. As a result, the marginal effect of carbon footprint is greater than that of economic growth after economic growth reaches a certain stage, revealing that the driving forces and mechanisms can promote the growth of urban space.

The Impact of Cloud Computing on Organizational Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya
Keyword(s):  
Cloud Computing ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Performance ◽  
Direct Relation ◽  
Organizational Agility ◽  
Cloud Computing Adoption ◽  
The Cost ◽  
The Impact ◽  
The Relationship

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.

scholarly journals Virtual Disks Performance Analysis Using Flexible I/O and Powerstat

2021 ◽  
Vol 9 (10) ◽  
pp. 267-296
Author(s):  
Pritam Patange
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Disk File ◽  
Virtual Machine Monitor ◽  
Image File ◽  
File Formats ◽  
Physical Infrastructure ◽  
Disk Image ◽  
The Impact

Abstract: Cloud computing has experienced significant growth in the recent years owing to the various advantages it provides such as 24/7 availability, quick provisioning of resources, easy scalability to name a few. Virtualization is the backbone of cloud computing. Virtual Machines (VMs) are created and executed by a software called Virtual Machine Monitor (VMM) or the hypervisor. It separates compute environments from the actual physical infrastructure. A disk image file representing a single virtual machine is created on the hypervisor’s file system. In this paper, we analysed the runtime performance of multiple different disk image file formats. The analysis comprises of four different parameters of performance namely- bandwidth, latency, input-output operations performed per second (IOPS) and power consumption. The impact of the hypervisor’s block and file sizes is also analysed for the different file formats. The paper aims to act as a reference for the reader in choosing the most appropriate disk file image format for their use case based on the performance comparisons made between different disk image file formats on two different hypervisors – KVM and VirtualBox. Keywords: Virtualization, Virtual disk formats, Cloud computing, fio, KVM, virt-manager, powerstat, VirtualBox.

scholarly journals Exploring Expansion and Innovations in Cloud Computing

2019 ◽  
Vol 1 (1) ◽  
pp. 46-59
Author(s):  
Jitendra Singh
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Cloud Services ◽  
Recent Past ◽  
Cloud Development ◽  
User Expectations ◽  
Cloud Evolution ◽  
The Impact

Cloud computing is one of the highly sought-after paradigms in information technology. In several cases, it has surpassed earlier predictions of growth, and expanding its services to cover all the key areas. With the growing usage of the cloud, new requirements have also surfaced. To meet user expectations, the cloud services pool has expanded drastically. In order to meet the subscriber's futuristic demands, cloud computing needs to advance further. This work undertakes the study of expansion and innovations that have already happened in the recent past. In addition, perceived cloud evolution in the futuristic cloud has been presented. During the course of exploration, the impact of hardware and software on evolution has been taken into account. Considering the benefits involved, and the current advancement, this work concludes by presenting the innovations that will lead to cloud development.

scholarly journals An analysis of software aging in cloud environment

2020 ◽  
Vol 10 (6) ◽  
pp. 5985
Author(s):  
Shruthi P. ◽  
Nagaraj G. Cholli
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cloud Service ◽  
Software Systems ◽  
System Failure ◽  
Dynamic Nature ◽  
Software Aging ◽  
Software Rejuvenation ◽  
The Impact

Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps.

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