A mixed ideal and anti-ideal DEA model: an application to evaluate cloud service providers

2019 ◽  
Author(s):  
Majid Azadi ◽  
Mohammad Izadikhah ◽  
Fahimeh Ramezani ◽  
Farookh Khadeer Hussain
Keyword(s):  
Service Providers ◽  
Rapid Development ◽  
Cloud Service ◽  
Data Envelopment ◽  
Ranking Methods ◽  
Discrimination Power ◽  
Cloud Service Providers ◽  
Complete Ranking ◽  
Selection Of

Abstract The rapid development of cloud computing and the sharp increase in the number of cloud service providers (CSPs) have resulted in many challenges in the suitability and selection of the best CSPs according to quality of service requirements. The main objective of this study is to propose three novel models based on the enhanced Russell model to increase the discrimination power in the evaluation and selection of CSPs. The proposed models are designed based on the distances to two special decision-making units (DMUs), namely the ideal DMU and the anti-ideal DMU. There are two advantages to the proposed ranking methods. First, they consider both pessimistic and optimistic scenarios of data envelopment analysis, so they are more equitable than methods that are based on only one of these scenarios. The second strength of this approach is its discrimination power, enabling it to provide a complete ranking for all CSPs. The proposed method can help customers to choose the most appropriate CSP while at the same time, it helps software developers to identify inefficient CSPs in order to improve their performance in the marketplace.

Examining Communication Technologies of IoT for Best QoS

2018 ◽  
pp. 264-276
Author(s):  
Jayashree K ◽  
Babu R ◽  
Chithambaramani R
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Communication Technologies ◽  
Industry Sector ◽  
Cloud Service Providers ◽  
The Internet Of Things ◽  
Excessive Number ◽  
The Web

The Internet of Things (IoT) architecture has gained an increased amount of attention from academia as well as the industry sector as a significant methodology for the development of innovative applications and systems. Currently, the merging of this architecture with that of Cloud computing has been largely motivated by the need for various applications and infrastructures in IoT. In addition to this, the Cloud ascends as an eminent solution that would help solve various challenges that are faced by the IoT standard when varied physical devices. There are an excessive number of Cloud service providers the web along with many other services. Thus, it becomes critical to choose the provider who can be efficient, consistent, and suitable, and who can deliver the best Quality of Service (QoS). Thus, this chapter discusses QoS for cloud computing and IoT.

A Novel Architectural Model for Dynamic Updating and Verification of Data Storage in Cloud Environment

2021 ◽  
Vol 13 (4) ◽  
pp. 75-83
Author(s):  
Dharmendra Singh Rajput ◽  
Praveen Kumar Reddy M. ◽  
Ramasubbareddy Somula ◽  
Bharath Bhushan S. ◽  
Ravi Kumar Poluru
Keyword(s):  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
It Industry ◽  
Multiple Data ◽  
Data Control ◽  
Cloud Service Providers ◽  
Multiple Copies ◽  
Dynamic Updating

Cloud computing is a quickly emerging computing model in the IT industry. Due to the rapid increase in technology, many clients want to store multiple copies of the same data in multiple data centers. Clients are outsourcing the data to cloud service providers and enjoying the high quality of service. Cloud service providers (CSP) are going to charge extra amounts for storing multiple copies; CSP must provide the firm guarantee for storing multiple copies. This paper proposes a new system model for storing and verifying multiple copies; this model deals with identifying tarnished copies which are transparent for the clients. Also, it deals with dynamic data control in the cloud with optimal results.

CLOUDSME

2021 ◽  
pp. 442-459
Author(s):  
Richard Otuka
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Adoption Process ◽  
Semantic Model ◽  
Service Adoption ◽  
Cloud Service Providers ◽  
Saas Cloud ◽  
Service Attribute

Presently, SMEs are finding it difficult to adopt cloud services for their businesses due to various service providers offering similar services. In addition, little work has been carried out in regards to the cloud services adoption process by SMEs. In this chapter, the authors propose CLOUDSME, a novel framework that aids in the adoption process of SaaS cloud services. Accordingly, they implement a decision support system, which includes an ontology of cloud services knowledge within the proposed framework. Analytical hierarchical process (AHP) is used to determine the weight of each cloud service attribute, and a benchmark is set to determine the acceptability of each cloud service based on its ability to meet the acceptable benchmark for each criteria. It can also help in a healthy competition to improve the quality of service among cloud service providers. The CLOUDSME semantic model will guide SME owners in answering user requirements towards decision making in the cloud service adoption process.

SelCSP: A Framework to Facilitate Selection of Cloud Service Providers

2015 ◽  
Vol 3 (1) ◽  
pp. 66-79 ◽  
Author(s):  
Nirnay Ghosh ◽  
Soumya K. Ghosh ◽  
Sajal K. Das
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Providers ◽  
Selection Of
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