scholarly journals SaaS Cloud Provider Management Framework

2015 ◽  
Author(s):  
Rima Grati ◽  
Khouloud Boukadi ◽  
Hanêne Ben-Abdallah
Keyword(s):  
Cloud Provider ◽  
Management Framework ◽  
Saas Cloud

Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider

2015 ◽  
Vol 4 (3) ◽  
pp. 50-71 ◽  
Author(s):  
Md. S. Q. Zulkar Nine ◽  
Abul Kalam Azad ◽  
Saad Abdullah ◽  
Rashedur M. Rahman
Keyword(s):  
Load Balancing ◽  
Data Centers ◽  
Cloud Model ◽  
Cloud Provider ◽  
Active Monitoring ◽  
Computing Power ◽  
Novel Approach ◽  
Virtualized Data Centers ◽  
Load Balancer ◽  
Saas Cloud

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters involved in generating load in the Virtualized Data Center has imprecise effect on the overall load of Virtual Machine, a fuzzy load balancing strategy is required. This paper proposes two efficient fuzzy load balancing methods - Fuzzy Active Monitoring Load Balancer (FAM-LB) and Fuzzy Throttled Load Balancer (FT-LB) for the distributed SaaS cloud provider. The authors implemented a cloud model in simulation environment and compared the results of otheir novel approach with the existing techniques. Among them FT-LB has provided better performance compared to other scheduling algorithms.

Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider

Fuzzy Systems ◽  
2017 ◽  
pp. 1643-1665
Author(s):  
Md. S. Q. Zulkar Nine ◽  
Abul Kalam Azad ◽  
Saad Abdullah ◽  
Rashedur M. Rahman
Keyword(s):  
Load Balancing ◽  
Data Centers ◽  
Cloud Model ◽  
Cloud Provider ◽  
Active Monitoring ◽  
Computing Power ◽  
Novel Approach ◽  
Virtualized Data Centers ◽  
Load Balancer ◽  
Saas Cloud

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters involved in generating load in the Virtualized Data Center has imprecise effect on the overall load of Virtual Machine, a fuzzy load balancing strategy is required. This paper proposes two efficient fuzzy load balancing methods - Fuzzy Active Monitoring Load Balancer (FAM-LB) and Fuzzy Throttled Load Balancer (FT-LB) for the distributed SaaS cloud provider. The authors implemented a cloud model in simulation environment and compared the results of otheir novel approach with the existing techniques. Among them FT-LB has provided better performance compared to other scheduling algorithms.

scholarly journals A contingency lens on cloud provider management processes

2020 ◽  
Vol 13 (3) ◽  
pp. 1451-1489
Author(s):  
Severin Oesterle ◽  
Jan Jöhnk ◽  
Robert Keller ◽  
Nils Urbach ◽  
Xin Yu
Keyword(s):  
Service Providers ◽  
Critical Factor ◽  
Cloud Service ◽  
Cloud Provider ◽  
Service Provisioning ◽  
Literature Study ◽  
Management Framework ◽  
It Service ◽  
Cloud Management ◽  
Management Processes

AbstractTraditional ways of managing information technology (IT) service providers are no longer applicable as companies use more and more services provisioned in the cloud. Therefore, organizations are looking for new ways to manage their relationship with cloud providers. The shift from IT-as-a-product to IT-as-a-service puts clients in a continued dependency on cloud service providers (CSPs), making provider management a critical factor for companies’ success. In this paper, we (1) identify cloud-specific challenges in managing CSPs, (2) develop a corresponding process framework for CSP management, and (3) discuss and extend this framework. Our final cloud management framework comprises ten processes for effective CSP management based on a literature study and twelve expert interviews. Furthermore, we unpack three major contingency factors, i.e., client–provider ratio, specificity, and service delivery model, which influence the reasonability and configuration of the cloud management processes. Drawing on two specific cases from our interview study, we explicate the contingency factors’ influence. Thus, our paper contributes to cloud sourcing research by deepening the understanding of client–provider relationships and by introducing a viable CSP management instrument contingent on three salient factors of cloud service provisioning.

Developing and implementing the risk management framework into business processes of Gazprom transgaz Tomsk Ltd., for implementation of the Eastern gas program of PJSC Gazprom

2020 ◽  
Vol 17 (1) ◽  
pp. 68-77
Author(s):  
V. E. Zaikovsky ◽  
A. V. Karev
Keyword(s):  
Risk Management ◽  
Human Resources ◽  
Management Information System ◽  
Business Processes ◽  
Project Success ◽  
Management Information ◽  
Timely Manner ◽  
Project Approach ◽  
Management Framework ◽  
Risk Management Framework

Project success depends on the ability to respond to risks and make correct decisions in a timely manner. The project approach provides a better framework for implementing a new management system into the company’s business processes. The risk management framework developed by the company comprises a risk management infrastructure, a set of standards, human resources, and a risk management information system. To improve staff compliance, it is necessary to provide training and to communicate the goals of the project effectively. It is also important to develop a motivation system because well trained and motivated staff are able to work more efficiently.

New grid resource management framework for mixed types of workloads

2010 ◽  
Vol 30 (8) ◽  
pp. 2197-2201
Author(s):  
Yang LIU ◽  
Kai HAN ◽  
Jian-ping FAN
Keyword(s):  
Resource Management ◽  
Grid Resource ◽  
Management Framework ◽  
Grid Resource Management ◽  
Mixed Types
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