Cost Effective PSO Model for MapReduce in Cloud Environment

2018 ◽  
Vol 6 (4) ◽  
pp. 497-501 ◽  
Author(s):  
Vidhyasagar B S ◽  
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...  
Keyword(s):  
Cost Effective ◽  
Cloud Environment

scholarly journals Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing

2020 ◽  
Author(s):  
Igor Sfiligoi ◽  
David Schultz ◽  
Benedikt Riedel ◽  
Frank Wuerthwein ◽  
Steve Barnet ◽  
...  
Keyword(s):  
Scientific Computing ◽  
Cost Effective ◽  
Cloud Environment ◽  
Multi Cloud

scholarly journals Efficient and Cost-effective Service Broker Policy Based on User Priority in VIKOR for Cloud Computing

2021 ◽  
pp. 1-8
Author(s):  
Mohammed Radi ◽  
Ali Alwan ◽  
Abedallah Abualkishik ◽  
Adam Marks ◽  
Yonis Gulzar
Keyword(s):  
Cloud Computing ◽  
Response Time ◽  
Service Providers ◽  
Cost Effective ◽  
Cloud Service ◽  
User Preferences ◽  
Cloud Environment ◽  
Data Centre ◽  
Wide Range ◽  
Service Broker

Cloud computing has become a practical solution for processing big data. Cloud service providers have heterogeneous resources and offer a wide range of services with various processing capabilities. Typically, cloud users set preferences when working on a cloud platform. Some users tend to prefer the cheapest services for the given tasks, whereas other users prefer solutions that ensure the shortest response time or seek solutions that produce services ensuring an acceptable response time at a reasonable cost. The main responsibility of the cloud service broker is identifying the best data centre to be used for processing user requests. Therefore, to maintain a high level of quality of service, it is necessity to develop a service broker policy that is capable of selecting the best data centre, taking into consideration user preferences (e.g. cost, response time). This paper proposes an efficient and cost-effective plan for a service broker policy in a cloud environment based on the concept of VIKOR. The proposed solution relies on a multi-criteria decision-making technique aimed at generating an optimized solution that incorporates user preferences. The simulation results show that the proposed policy outperforms most recent policies designed for the cloud environment in many aspects, including processing time, response time, and processing cost. KEYWORDS Cloud computing, data centre selection, service broker, VIKOR, user priorities

scholarly journals Framework for cost-effective analytical modelling for sensory data over cloud environment

2019 ◽  
Vol 9 (5) ◽  
pp. 3822
Author(s):  
Manujakshi BC ◽  
K B Ramesh
Keyword(s):  
Large Scale ◽  
Mining Operation ◽  
Cost Effective ◽  
Resource Constraint ◽  
Frequent Pattern ◽  
Cloud Environment ◽  
Sensory Data ◽  
Novel Approach ◽  
Novel Concept ◽  
Data As A Service

In order to offer sensory data as a service over the cloud, it is necessary to execute a cost-effective and yet precise data analytical logic within the sensing units. However, it is quite questionable as such forms of analytical operation are quite resource dependent which cannot be offered by the resource constraint sensory units. Therefore, the proposed paper introduces a novel approach of performing cost-effective data analytical method in order to extract knowledge from big data over the cloud. The proposed study uses a novel concept of the frequent pattern along with a tree-based approach in order to develop an analytical model for carrying out the mining operation in the large-scale sensor deployment over the cloud environment. Using a simulation-based approach over the mathematical model, the proposed model exhibit reduced mining duration, controlled energy dissipation, and highly optimized memory demands for all the resource constraint nodes.

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