scholarly journals A Review on Various Applications of Reputation Based Trust Management

2021 ◽  
Vol 15 (10) ◽  
pp. 87
Author(s):  
Govindaraj Ramya ◽  
Govindaraj Priya ◽  
Chowdhury Subrata ◽  
Dohyeun Kim ◽  
Duc Tan Tran ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Trust Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Peer To Peer ◽  
Cloud Services ◽  
Management Systems ◽  
Significant Challenge ◽  
The Future

<p class="0abstract">The extremely vibrant, scattered, and non–transparent nature of cloud computing formulate trust management a significant challenge. According to scholars the trust and security are the two issues that are in the topmost obstacles for adopting cloud computing. Also, SLA (Service Level Agreement) alone is not necessary to build trust between cloud because of vague and unpredictable clauses. Getting feedback from the consumers is the best way to know the trustworthiness of the cloud services, which will help them improve in the future. Several researchers have stated the necessity of building a robust management system and suggested many ideas to manage trust based on consumers' feedback. This paper has reviewed various reputation-based trust management systems, including trust management in cloud computing, peer-to-peer system, and Adhoc system. </p>

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

scholarly journals Effectiveness of the Partial Implementation of a Cloud-Based Knowledge Management System

2020 ◽  
Vol 15 (13) ◽  
pp. 155
Author(s):  
Zhi-Qin Liu ◽  
Evgenij Dorozhkin ◽  
Nataliia Davydova ◽  
Nadezhda Sadovnikova
Keyword(s):  
Cloud Computing ◽  
Knowledge Management ◽  
Management System ◽  
Cloud Services ◽  
Knowledge Management System ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Computing Technologies ◽  
Partial Implementation

Nowadays cloud computing technologies are cost-effective services enabling to generate the learning quality. The goal of this research is to define the borderline of the effectiveness and limitation of the partial implementation of Knowledge Management System based on cloud computing technologies. In view of this, the research in the form of knowledge testing as well as objective and subjective assessment of the learning quality within a wide sampling of 396 students in two independent reference groups was conducted. One of the groups has used traditional methods of the training conducted in classrooms by applying e-learning, and the other one has used the Knowledge Management System based on cloud services under the most budgetary option. As a result, a range of certain differences in the quality of training of two groups was found out and the latter must be used for a further study. According to the results of all tests related to the quality of training, in the group, that has used Knowledge Management Systems and cloud computing technologies, the students have demonstrated results above average in various tests than in the group where these technologies have not been used. The results allow defining specific advanced features of Knowledge Management Systems with the application of cloud computing technologies in the education.

scholarly journals Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

2019 ◽  
Vol 8 (3) ◽  
pp. 1457-1462
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Service Provider

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

Carrier-Grade Distributed Cloud Computing

2013 ◽  
pp. 264-281
Author(s):  
Dapeng Wang ◽  
Jinsong Wu
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Key Issues ◽  
Security Network ◽  
Distributed Cloud

This chapter discusses and surveys the concepts, demands, requirements, solutions, opportunities, challenges, and future perspectives and potential of Carrier Grade Cloud Computing (CGCC). This chapter also introduces a carrier grade distributed cloud computing architecture and discusses the benefits and advantages of carrier grade distributed cloud computing. Unlike independent cloud service providers, telecommunication operators may integrate their conventional communications networking capabilities with the new cloud infrastructure services to provide inexpensive and high quality cloud services together with their deep understandings of, and strong relationships with, individual and enterprise customers. The relevant design requirements and challenges may include the performance, scalability, service-level agreement management, security, network optimization, and unified management. The relevant key issues in CGCC designs may include cost effective hardware and software configurations, distributed infrastructure deployment models, and operation processes.

scholarly journals Teaching Clouds

2012 ◽  
pp. 82-94 ◽  
Author(s):  
Lee Gillam ◽  
Bin Li ◽  
John O’Loughlin
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Service Level ◽  
Peer To Peer ◽  
Lessons Learned ◽  
P2p Computing ◽  
The Core ◽  
Key Characteristics ◽  
Technical Challenges ◽  
Computing Module

In this chapter, the authors discuss the scope, content, and technical challenges offered up in the construction and delivery of a 10 week long Cloud Computing module that combines discussions of the principles and key characteristics of Cloud Computing with a series of practical exercises and an implementation-based coursework. The authors present an overview of the core of this module, which starts from the Software, Platform, and Infrastructure (SPI) model and builds from this around SOAP and REST, Hadoop, related paradigms such as Grids and Peer-to-Peer (P2P) computing, and the all-important Service Level Agreement (SLA). The chapter further describes the practical exercises undertaken in lab-based sessions, and the nature of the assessment. It concludes with a brief discussion of the lessons learned to date through this delivery.

An Adaptive Service Monitoring System in a Cloud Computing Environment

2020 ◽  
Vol 12 (2) ◽  
pp. 47-63
Author(s):  
Sathiyamoorthy E. ◽  
Karthikeyan P
Keyword(s):  
Cloud Computing ◽  
Rapid Development ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Environment ◽  
Computing Environment ◽  
Time Duration ◽  
Cloud Computing Environment

Cloud computing is a trending area of information technology (IT). In a cloud environment, the Cloud service provider (CSP) provides all the functionalities to the users or customers in terms of services. With the rapid development of cloud computing, the performance of any cloud environment relies on the quality of services (QoS) at the time of providing the services. A service level agreement (SLA) increases the confidence of the user or customer to use the cloud services in a cloud environment. There should be negotiation between the CSP and users to achieve a strong SLA. Many existing SLA models are already developed. However, these models do not concentrate to maintain the quality in a long-time duration period. To solve this issue, a novel SLA model has been proposed in this article by using Fuzzy logic. Both the theoretical and simulation results show the proficiency of the proposed scheme over the existing schemes in a cloud computing environment.

Carrier-Grade Distributed Cloud Computing

2015 ◽  
pp. 1981-1998
Author(s):  
Dapeng Wang ◽  
Jinsong Wu
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Key Issues ◽  
Security Network ◽  
Distributed Cloud

This chapter discusses and surveys the concepts, demands, requirements, solutions, opportunities, challenges, and future perspectives and potential of Carrier Grade Cloud Computing (CGCC). This chapter also introduces a carrier grade distributed cloud computing architecture and discusses the benefits and advantages of carrier grade distributed cloud computing. Unlike independent cloud service providers, telecommunication operators may integrate their conventional communications networking capabilities with the new cloud infrastructure services to provide inexpensive and high quality cloud services together with their deep understandings of, and strong relationships with, individual and enterprise customers. The relevant design requirements and challenges may include the performance, scalability, service-level agreement management, security, network optimization, and unified management. The relevant key issues in CGCC designs may include cost effective hardware and software configurations, distributed infrastructure deployment models, and operation processes.

Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services

2020 ◽  
Vol 13 (2) ◽  
pp. 260-275
Author(s):  
Abdul Qadir Md ◽  
Varadarajan Vijayakumar
Keyword(s):  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Selection ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Preference Ranking ◽  
Ranking Algorithm ◽  
Management Architecture

Background: With the immense significance of cloud computing over the decade, different IT companies offer varieties of cloud services. Objective: The selection of cloud services from the expanding range of Cloud Service Providers (CSPs) makes it difficult for the Cloud Consumers (CCs) to choose a CSP based on their preferences. Methods: In this context, this paper proposes an efficient trust management architecture for cloud service selection and put forward Combined Preference Ranking Algorithm (CPRA) for initial ranking of CSPs and their services before doing any transaction in the past based on CCs requirements. Results: The proposed trust management architecture prompts the CSPs to improve the Quality of Service (QoS) by adhering to Service Level Agreement (SLA). Conclusion: The experimental results show that compared with other ranking approaches CPRA generates the accurate ranking list of CSPs with minimal execution time.

Automation of Discovery and Aggregation of Cloud Services

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Sreedevi R. Nagarmunoli ◽  
Nandini S. Sidnal
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Direct Service ◽  
Cloud Service Provider ◽  
Multiple Services

Cloud computing is a technology where IT-related resources are dynamically provided as a service to the customers through Internet. The customer can demand for the services dynamically from Cloud Service Provider (CSP)s, take them on lease based on Service Level Agreement (SLA), release the resources after completion of task and pay for what is used. The required services may not be available from a single CSP. There are many CSPs providing multiple services with different Quality of Service (QoS). The customer has to discover the available services with the expected QoS which is one of the major challenges to be solved in cloud computing today. In this paper we dynamically create a repository of the cloud services and aggregate them whenever there is a demand for service and then derive that the services obtained from the repository are time efficient as compared to direct service discovery.

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