An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations

2019 ◽  
Vol 96 ◽  
pp. 216-226 ◽  
Author(s):  
Georgios L. Stavrinides ◽  
Helen D. Karatza
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Energy Efficient ◽  
Cost Effective ◽  
Computing Systems

Failure-aware energy-efficient VM consolidation in cloud computing systems

2019 ◽  
Vol 94 ◽  
pp. 620-633 ◽  
Author(s):  
Yogesh Sharma ◽  
Weisheng Si ◽  
Daniel Sun ◽  
Bahman Javadi
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Computing Systems ◽  
Vm Consolidation

MEACC: an energy-efficient framework for smart devices using cloud computing systems

2020 ◽  
Vol 21 (6) ◽  
pp. 917-930
Author(s):  
Khalid Alsubhi ◽  
Zuhaib Imtiaz ◽  
Ayesha Raana ◽  
M. Usman Ashraf ◽  
Babur Hayat
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Smart Devices ◽  
Computing Systems

A Scalable Data Platform for Cloud Computing Systems

2014 ◽  
Vol 577 ◽  
pp. 860-864
Author(s):  
Liang Liu ◽  
Tian Yu Wo
Keyword(s):  
Cloud Computing ◽  
Web Applications ◽  
Cost Effective ◽  
Computing Systems ◽  
Cluster Architecture ◽  
Geographically Dispersed ◽  
Use Of Resources ◽  
Asynchronous Replication ◽  
Time Period ◽  
Data Platform

With cloud computing systems becoming popular, it has been a hotspot to design a scalable, highly available and cost-effective data platform. This paper proposed such a data platform using MySQL DBMS blocks. For scalability, a three-level (system, super-cluster, cluster) architecture is applied, making it scalable to thousands of applications. For availability, we use asynchronous replication across geographically dispersed super clusters to provide disaster recovery, synchronous replication within a cluster to perform failure recovery and hot standby or even process pair mechanism for controllers to enhance fault tolerance. For resource utility, we design a novel load balancing strategy by exploiting the key property that the throughput requirement of web applications is flucatuated in a time period. Experiments with NLPIR dataset indicate that the system can scale to a large number of web applications and make good use of resources provided.

Energy-efficient offloading of real-time tasks using cloud computing

2020 ◽  
Vol 23 (4) ◽  
pp. 3273-3288 ◽  
Author(s):  
Suzanne Elashri ◽  
Akramul Azim
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Energy Efficient

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Computing ◽  
2014 ◽  
Vol 98 (7) ◽  
pp. 751-774 ◽  
Author(s):  
Abdul Hameed ◽  
Alireza Khoshkbarforoushha ◽  
Rajiv Ranjan ◽  
Prem Prakash Jayaraman ◽  
Joanna Kolodziej ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Efficient ◽  
Computing Systems ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Fault mitigation in real-time cloud computing

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Osuolale A. Festus ◽  
Adewale O. Sunday ◽  
Alese K. Boniface
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Human Life ◽  
Low Cost ◽  
Cloud Services ◽  
Computing Systems ◽  
Cloud Computing Environment ◽  
High Performing ◽  
Procurement Cost ◽  
Data Upload

The introduction of computers has been a huge plus to human life in its entirety because it provides both the world of business and private an easy and fast means to process, generate and exchange information. However, the proliferation of networked devices, internet services and the amount of data being generated frequently is enormous. This poses a major challenge, to the procurement cost of high performing computers and servers capable of processing and housing the big data. This called for the migration of organizational and/or institutional data upload to the cloud for highlevel of productivity at a low cost. Therefore, with high demand for cloud services and resources by users who migrated to the cloud, cloud computing systems have experienced an increase in outages or failures in real-time cloud computing environment and thereby affecting its reliability and availability. This paper proposes and simulates a system comprising four components: the user, task controller, fault detector and fault tolerance layers to mitigate the occurrence of fault combining checkpointing and replication techniques using cloud simulator (CloudSim).

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