A Cost-Effective Data Node Management Scheme for Hadoop Clusters in Cloud Environment

2020 ◽  
pp. 27-37
Author(s):  
B. S. Vidhyasagar ◽  
J. Raja Paul Perinbam ◽  
M. Krishnamurthy ◽  
J. Arunnehru
Keyword(s):  
Cost Effective ◽  
Cloud Environment ◽  
Management Scheme ◽  
Hadoop Clusters

Cost Effective PSO Model for MapReduce in Cloud Environment

2018 ◽  
Vol 6 (4) ◽  
pp. 497-501 ◽  
Author(s):  
Vidhyasagar B S ◽  
◽  
◽  
◽  
◽  
...  
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

Naïve Bayes classifier enabled home energy management scheme for cost-effective end-user comfort

2021 ◽  
Vol 40 (1) ◽  
pp. 403-413
Author(s):  
M. Firdouse Ali Khan ◽  
Ganesh Kumar Chellamani ◽  
Premanand Venkatesh Chandramani
Keyword(s):  
Energy Management ◽  
Time Window ◽  
Cost Effective ◽  
Pattern Generation ◽  
Home Appliances ◽  
Management Scheme ◽  
Home Energy Management ◽  
Maximum Comfort ◽  
The Cost ◽  
User Comfort

Under demand response enabled demand-side management, the home energy management (HEM) schemes schedule appliances for balancing both energy and demand within a residence. This scheme enables the user to achieve either a minimum electricity bill (EB) or maximum comfort. There is always the added burden on a HEM scheme to obtain the least possible EB with comfort. However, if a time window that contains comfortable time slots of the day for an appliance operation, is identified, and if the cost-effective schedule-pattern gets generated from these windows autonomously, then the burden can be reduced. Therefore, this paper proposes a two-level method that can assist the HEM scheme by generating a cost-effective schedule-pattern for scheduling home appliances. The first level uses a classifier to identify the comfortable time window from past ON and OFF events. The second level uses pattern generation algorithms to generate a cost-effective schedule-pattern from the identified window. The generated cost-effective schedule-pattern is applied to a HEM scheme as input to demonstrate the proposed two-level approach. The simulation results exhibit that the proposed approach helps the HEM scheme to schedule home appliances cost-effectively with a satisfactory user-comfort between 90% and 100%.

Memory management scheme for cost-effective disk-on-modules in consumer electronics devices

2008 ◽  
Vol 54 (4) ◽  
pp. 1776-1783 ◽  
Author(s):  
Young-Sik Lee ◽  
Dawoon Jung ◽  
Jin-Soo Kim ◽  
Seungryoul Maeng
Keyword(s):  
Memory Management ◽  
Cost Effective ◽  
Consumer Electronics ◽  
Management Scheme
Sign in / Sign up

Export Citation Format

Share Document