scholarly journals Application of Block chain in Cloud Computing

2019 ◽  
Vol 8 (12) ◽  
pp. 4698-4704 ◽  
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Computing Systems ◽  
Advantages And Disadvantages ◽  
Computing Paradigm ◽  
Blockchain Technology ◽  
Cloud Computing System ◽  
Secured Transactions ◽  
Block Chain ◽  
Financial Technology

Blockchain technology is recent and eminent financial technology that completely transform the business transactions. It’s a decentralized network, that support and employ variety of cryptography models. This robust and flexible secured transactions is being integrated with another eminent computing paradigm, cloud computing. In this paper, we make an attempt to review about the application of blockchain in cloud computing system. Firstly, the concept of blockchain is briefly discussed with their advantages and disadvantages. Second, the concept of cloud computing is briefly demonstrated with blockchain technology. Finally, prior papers are reviewed and presented in tabular form. It dictates that the research gaps, still, pertains in field of blockchain based on cloud computing systems. This paper assists the upcoming researchers in this field for designing novel secured models.

scholarly journals Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 310
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Tzu-Hui Pan ◽  
Chiao-Shan Chen
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Multiple Criteria Decision Making ◽  
Cloud Service ◽  
Computing System ◽  
Healthcare Industry ◽  
Computing Systems ◽  
Factors Affecting ◽  
Cloud Computing System ◽  
Health Cloud

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.

scholarly journals Scheduling under Open stack – The Current State and Future Enhancements

2019 ◽  
Vol 8 (2) ◽  
pp. 375-382
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Task Scheduling ◽  
Computing System ◽  
Important Task ◽  
Shared Resources ◽  
Computing Systems ◽  
Current State ◽  
Cloud Computing System ◽  
Research Findings

Cloud computing is being heavily used for implementing different kinds of applications. Many of the client applications are being migrated to cloud for the reasons of cost and elasticity. Cloud computing is generally implemented on distributing computing wherein the Physical servers are heavily distributed considering both hardware and software, the connectivity among which is established through Internet. The cloud computing systems as such have many physical servers which contain many resources. The resources can be made to be shared among many users who are the tenants to the cloud computing system. The resources can be virtualized so as to provide shared resources to the clients. Scheduling is one of the most important task of a cloud computing system which is concerned with task scheduling, resource scheduling and scheduling Virtual Machin Migration. It is important to understand the issue of scheduling within a cloud computing system more in-depth so that any improvements with reference to scheduling can be investigated and implemented. For carrying in depth research, an OPEN source based cloud computing system is needed. OPEN STACK is one such OPEN source based cloud computing system that can be considered for experimenting the research findings that are related to cloud computing system. In this paper an overview on the way the Scheduling aspect per say has been implemented within OPEN STACK cloud computing system

A Pattern-Based and Tool-Supported Risk Analysis Method Compliant to ISO 27001 for Cloud Systems

2015 ◽  
Vol 6 (1) ◽  
pp. 24-46
Author(s):  
Azadeh Alebrahim ◽  
Denis Hatebur ◽  
Stephan Fassbender ◽  
Ludger Goeke ◽  
Isabelle Côté
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Risk Analysis ◽  
Computing System ◽  
Security Requirements ◽  
Analysis Method ◽  
Computing Systems ◽  
Cloud Systems ◽  
Cloud Computing System ◽  
Iso 27001

To benefit from cloud computing and the advantages it offers, obstacles regarding the usage and acceptance of clouds have to be cleared. For cloud providers, one way to obtain customers' confidence is to establish security mechanisms when using clouds. The ISO 27001 standard provides general concepts for establishing information security in an organization. Risk analysis is an essential part in the ISO 27001 standard for achieving information security. This standard, however, contains ambiguous descriptions. In addition, it does not stipulate any method to identify assets, threats, and vulnerabilities. In this paper, the authors present a method for cloud computing systems to perform risk analysis according to the ISO 27001. The authors' structured method is tailored to SMEs. It relies upon patterns to describe context and structure of a cloud computing system, elicit security requirements, identify threats, and select controls, which ease the effort for these activities. The authors' method guides companies through the process of risk analysis in a structured manner. Furthermore, the authors provide a model-based tool for supporting the ISO 27001 standard certification. The authors' tool consists of various plug-ins for conducting different steps of their method.

scholarly journals Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing

2021 ◽  
Author(s):  
Poria Pirozmand ◽  
Ali Asghar Rahmani Hosseinabadi ◽  
Maedeh Farrokhzad ◽  
Mehdi Sadeghilalimi ◽  
Seyedsaeid Mirkamali ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Scheduling Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Computing System ◽  
Computing Systems ◽  
Cloud Computing System ◽  
Scheduling Heuristic ◽  
The Cost

AbstractThe cloud computing systems are sorts of shared collateral structure which has been in demand from its inception. In these systems, clients are able to access existing services based on their needs and without knowing where the service is located and how it is delivered, and only pay for the service used. Like other systems, there are challenges in the cloud computing system. Because of a wide array of clients and the variety of services available in this system, it can be said that the issue of scheduling and, of course, energy consumption is essential challenge of this system. Therefore, it should be properly provided to users, which minimizes both the cost of the provider and consumer and the energy consumption, and this requires the use of an optimal scheduling algorithm. In this paper, we present a two-step hybrid method for scheduling tasks aware of energy and time called Genetic Algorithm and Energy-Conscious Scheduling Heuristic based on the Genetic Algorithm. The first step involves prioritizing tasks, and the second step consists of assigning tasks to the processor. We prioritized tasks and generated primary chromosomes, and used the Energy-Conscious Scheduling Heuristic model, which is an energy-conscious model, to assign tasks to the processor. As the simulation results show, these results demonstrate that the proposed algorithm has been able to outperform other methods.

Research on New Algorithm of Network Topology Design Based on Cloud Integration

2012 ◽  
Vol 190-191 ◽  
pp. 360-363
Author(s):  
Xiao Yuan Qu ◽  
Feng Zhang ◽  
Hui Feng Xue
Keyword(s):  
Cloud Computing ◽  
Adaptive Algorithm ◽  
Optimization Theory ◽  
Computing System ◽  
Logical Structure ◽  
Topology Design ◽  
Stable Operation ◽  
Computing Systems ◽  
Cloud Computing System ◽  
Key Issues

Analyzed integrated logical structure of the cloud, back-end cloud computing systems, tens of thousands of servers, how to organize such a large number of servers is the cloud computing system efficient and stable operation of one of the key issues. We surveyed the requirement of cloud computing networking. Analyzed the architecture of cloud computing networking topology, and thought that the networking topology should be composed of two parts the center switch trunk and some tree shape branch subnet. Then we proposed the Self Adaptive Algorithm for the center swish trunk’s topology design based on the graph theory, optimization theory and classic greedy algorithm. Finally we do some experiments and comparison to verify the algorithm’s usability and advantages.

A Pattern-Based and Tool-Supported Risk Analysis Method Compliant to ISO 27001 for Cloud Systems

2015 ◽  
pp. 730-747
Author(s):  
Azadeh Alebrahim ◽  
Denis Hatebur ◽  
Stephan Fassbender ◽  
Ludger Goeke ◽  
Isabelle Côté
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Risk Analysis ◽  
Computing System ◽  
Security Requirements ◽  
Analysis Method ◽  
Computing Systems ◽  
Cloud Systems ◽  
Cloud Computing System ◽  
Iso 27001

To benefit from cloud computing and the advantages it offers, obstacles regarding the usage and acceptance of clouds have to be cleared. For cloud providers, one way to obtain customers' confidence is to establish security mechanisms when using clouds. The ISO 27001 standard provides general concepts for establishing information security in an organization. Risk analysis is an essential part in the ISO 27001 standard for achieving information security. This standard, however, contains ambiguous descriptions. In addition, it does not stipulate any method to identify assets, threats, and vulnerabilities. In this paper, the authors present a method for cloud computing systems to perform risk analysis according to the ISO 27001. The authors' structured method is tailored to SMEs. It relies upon patterns to describe context and structure of a cloud computing system, elicit security requirements, identify threats, and select controls, which ease the effort for these activities. The authors' method guides companies through the process of risk analysis in a structured manner. Furthermore, the authors provide a model-based tool for supporting the ISO 27001 standard certification. The authors' tool consists of various plug-ins for conducting different steps of their method.

scholarly journals Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging

2021 ◽  
Vol 2091 (1) ◽  
pp. 012003
Author(s):  
Rakesh Kumar ◽  
Bhavneet Singh Soodan ◽  
Godlove Suila Kuaban ◽  
Piotr Czekalski ◽  
Sapana Sharma
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Queuing Theory ◽  
Computing System ◽  
Queuing Model ◽  
Average Delay ◽  
Computing Systems ◽  
Cloud Computing System ◽  
Request Queue ◽  
And Performance

Abstract Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. The removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. The reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. This kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. The steady-state as well as the transient performance analyses have been carried out. Important measures of performance like average queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging.

scholarly journals Comparison Among Cloud Technologies and Cloud Performance

2020 ◽  
Vol 1 (2) ◽  
pp. 40-47 ◽  
Author(s):  
Omar Alzakholi ◽  
Lailan Haji ◽  
Hanan Shukur ◽  
Rizgar Zebari ◽  
Shakir Abas ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Computing System ◽  
Cloud System ◽  
The Internet ◽  
Computing Systems ◽  
Multiple Factors ◽  
Procedure Cost ◽  
Cloud Computing System ◽  
Comprehensive Comparison ◽  
Cloud Technologies

The cloud is the best method used for the utilization and organization of data. The cloud provides many resources for us via the internet. There are many technologies used in cloud computing systems; each one uses a different kind of protocols and methods. Many tasks can execute on different servers per second, which cannot execute on their computer. The most popular technologies used in the cloud system are Hadoop, Dryad, and another map reducing framework. Also, there are many tools used to optimize the performance of the cloud system, such as Cap3, HEP, and Cloudburst. This paper reviews in detail the cloud computing system, its used technologies, and the best technologies used with it according to multiple factors and criteria such as the procedure cost, speed cons and pros. Moreover, A comprehensive comparison of the tools used for the utilization of cloud computing systems is presented.  

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