Cloud Provider Selection Based on Accountability and Security Using Interval Valued Fuzzy TOPSIS

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Cloud Service ◽  
Fuzzy Topsis ◽  
Cloud Provider ◽  
Cloud Service Provider ◽  
Public Resource ◽  
Ranking Systems ◽  
Financial Benefits ◽  
Criteria For Evaluation ◽  
Cloud Users ◽  
Selection Of

Cloud computing enables on-demand access to a public resource pool. Many businesses are migrating to the cloud due to its popularity and financial benefits. As a result, finding a suitable and best Cloud Service Provider is a difficult task for all cloud users. Many ranking systems, such as ANP, AHP and TOPSIS, have been proposed in the literature .However, many of the studies concentrated on quantitative data. But qualitative attributes are equally significant in many applications where the user is more concerned with the qualitative features.The implementation of MCDM approach for the ranking and the selection of the best player in the market as per the qualitative need of the cloud users like business organization or cloud brokers is the aim of this article. An ISO approved standard SMI framework is available for the evaluation of the CSPs.The authors have considered SMI attributes like accountability and security as the criteria for evaluation of the CSPs. The MCDM approach called IVF-TOPSIS that can handle the inherent vagueness in the cloud dataset is implemented in this work

User Opinion and Differentiated Attribute based Ranking in Federated Cloud

2016 ◽  
Vol 9 (2) ◽  
pp. 78-88
Author(s):  
C. S. Rajarajeswari ◽  
M. Aramudhan
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Experimental Result ◽  
Innovative Technology ◽  
Cloud Service Provider ◽  
Rank List ◽  
Optimal Service ◽  
Cloud Users

Cloud computing is an innovative technology which provides services to users on-demand and pay per use. Since there are many providers in cloud, users get confused in selecting the optimal service provider for their tasks. To overcome this limitation, federated cloud management architecture was proposed. The proposed work provides a new federated cloud mechanism, in which Broker Manager takes the responsibility of providing optimal and ranked service provider for user requirements. To rank the service providers in the federated cloud, Differentiated Priority based Ranking algorithm is implemented at the level of BM. Attributes are differentiated based on their weights assigned by a user. Service providers are discovered and ranked based on the differentiated attributes. The proposed algorithm chooses the cloud service provider for execution, not only based on the rank list generated by the BM; but also based on the suggestion given by the user. The experimental result shows that the proposed algorithm improves the performance of resource provisioning than the existing model by 13%.

scholarly journals A Unified Algorithm for Virtual Desktops Placement in Distributed Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Jiangtao Zhang ◽  
Lingmin Zhang ◽  
Hejiao Huang ◽  
Xuan Wang ◽  
Chonglin Gu ◽  
...  
Keyword(s):  
Cloud Service ◽  
Support Service ◽  
Long Distance ◽  
Cloud Service Provider ◽  
User Request ◽  
Unified Algorithm ◽  
Baseline Algorithm ◽  
Distributed Cloud ◽  
Selection Of

Distributed cloud has been widely adopted to support service requests from dispersed regions, especially for large enterprise which requests virtual desktops for multiple geodistributed branch companies. The cloud service provider (CSP) aims to deliver satisfactory services at the least cost. CSP selects proper data centers (DCs) closer to the branch companies so as to shorten the response time to user request. At the same time, it also strives to cut cost considering both DC level and server level. At DC level, the expensive long distance inter-DC bandwidth consumption should be reduced and lower electricity price is sought. Inside each tree-like DC, servers are trying to be used as little as possible so as to save equipment cost and power. In nature, there is a noncooperative relation between the DC level and server level in the selection. To attain these objectives and capture the noncooperative relation, multiobjective bilevel programming is used to formulate the problem. Then a unified genetic algorithm is proposed to solve the problem which realizes the selection of DC and server simultaneously. The extensive simulation shows that the proposed algorithm outperforms baseline algorithm in both quality of service guaranteeing and cost saving.

On the Performance Evaluation of IaaS Cloud Services With System-Level Benchmarks

2018 ◽  
Vol 8 (1) ◽  
pp. 80-96 ◽  
Author(s):  
Sanjay P. Ahuja ◽  
Niharika Deval
Keyword(s):  
Performance Evaluation ◽  
System Parameter ◽  
Cloud Service ◽  
Cloud Services ◽  
System Level ◽  
Service Model ◽  
Network Utilization ◽  
And Storage ◽  
Cloud Users ◽  
Selection Of

Infrastructure-as-a-service is a cloud service model that allows customers to outsource computing resources such as servers and storage. This article evaluates four IaaS cloud services - Amazon EC2, Microsoft Azure, Google Compute Engine and Rackspace Cloud in a vendor-neutral approach with regards to system parameter usage including server, file I/O and network utilization. Thus, system-level benchmarking provides objective comparison of cloud providers from performance standpoint. Unixbench, Dbench and Iperf are the System-level benchmarks chosen to test the performance of server, file I/O and network respectively. In order to capture the variation in performance, the tests were performed at different times on weekdays and weekends. With each offering, the benchmarks are tested on different configurations to provide an insight to the cloud users in selection of provider followed by appropriate VM sizing according to the workload requirement. In addition to the performance evaluation, price-per-performance value of all the providers is also examined and compared.

scholarly journals Cloud Service Selection using DEA based on SMI Attributes

2020 ◽  
Vol 9 (4) ◽  
pp. 849-855
Keyword(s):  
Service Selection ◽  
Multicriteria Decision Making ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Provider ◽  
Data Envelopment ◽  
Ranking Methods ◽  
Network Connection ◽  
Fast Network ◽  
Cloud Users

Cloud computing allows on-demand access and fast network connection to a shared resource pool. Most companies are switching to Cloud due to the popularity and benefits of using Cloud Services. So finding a suitable and best cloud provider is a challenge for all users. Several ranking methods, such as AHP, TOPSIS, had been suggested to solve this problem by multicriteria decision making techniques. But, many of the works focused on a subset of the main QoS attributes for ranking. Cloud Services Measurement Initiatives Consortium (CSMIC) has released Service Measurement Index attributes for effectively comparing the Cloud services. The comparison of services provided by cloud based on SMI attributes which are qualitative as well as quantitative in nature is studied in this paper by one of the non-parametric methods called Data Envelopment Analysis (DEA) and ranked the cloud services based on the efficiency scores obtained by DEA. The cloud users can select the best suitable Cloud service using the proposed approach that best suit their QoS requirements.

Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace

2016 ◽  
Vol 5 (2) ◽  
pp. 118-153 ◽  
Author(s):  
Thiruselvan Subramanian ◽  
Nickolas Savarimuthu
Keyword(s):  
Service Providers ◽  
Pairwise Comparison ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
Service Evaluation ◽  
Cloud Services ◽  
Qualitative And Quantitative ◽  
Different Types ◽  
Criteria Weights ◽  
Selection Of

Cloud services are offered independently or combining two or more services to satisfy consumer requirements. Different types of cloud service providers such as direct sellers, resellers and aggregators provide services with different level of service features and quality. The selection of best suitable services involves multi-criteria nature of services to be compared with the presence of both qualitative and quantitative factors, which make it considerably more complex. To overcome this complexity, a fuzzy hybrid multi-criteria decision making approach has been proposed, which includes both qualitative and quantitative factors. Triangular fuzzy numbers are used in all pairwise comparison matrices in the Fuzzy ANP and the criteria weights are utilized by Fuzzy TOPSIS and Fuzzy ELECTRE methods to rank the alternatives. This strategy is demonstrated with selection of cloud based collaboration tool for designers. Finally, sensitivity analysis is performed to prove the robustness of the proposed approach.

Dynamic Service Provisioning and Selection for Satisfying Cloud Applications and Cloud Providers in Hybrid Cloud

2017 ◽  
Vol 26 (04) ◽  
pp. 1750005 ◽  
Author(s):  
Xu Lijun ◽  
Li Chunlin
Keyword(s):  
Resource Constraints ◽  
Cloud Model ◽  
Cloud Service ◽  
Cloud Provider ◽  
Service Provisioning ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Cloud Users ◽  
Cloud User

The paper presents a hybrid cloud service provisioning and selection optimization scheme, and proposes a hybrid cloud model which consists of hybrid cloud users, private cloud and public cloud. This scheme aims to effectively provide cloud service and allocate cloud resources, such that the system utility can be maximized subject to public cloud resource constraints and hybrid cloud users constraints. The paper makes use of a utility-driven approach to solve interaction among private cloud user, hybrid cloud service provider and public cloud provider in hybrid cloud environment. The paper presents hybrid cloud service provisioning and selection algorithm in hybrid cloud. The hybrid cloud market consists of hybrid cloud user agent, hybrid cloud service agent and hybrid cloud agent, which represent the interests of different roles. The experiments are designed to compare the performance of proposed algorithm with the other related work.

Sign in / Sign up

Export Citation Format

Share Document