Proactive Scheduling in Cloud Computing
Ripandeep Kaur,Gurjot Kaur +1 more
TLDR
An fault aware pattern matching autonomic scheduling for cloud computing based on autonomic computing concepts is proposed and the results show the effectiveness of the scheme.Abstract:
Autonomic fault aware scheduling is a feature quite important for cloud computing and it is related to adoption of workload variation. In this context, this paper proposes an fault aware pattern matching autonomic scheduling for cloud computing based on autonomic computing concepts. In order to validate the proposed solution, we performed two experiments one with traditional approach and other other with pattern recognition fault aware approach. The results show the effectiveness of the scheme.read more
Citations
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Towards Resilient Method: An exhaustive survey of fault tolerance methods in the cloud computing environment
Muhammad Asim Shahid,Muhammad Asim Shahid,Noman Islam,Noman Islam,Muhammad Alam,M. S. Mazliham,Shahrulniza Musa +6 more
TL;DR: This survey offers a comprehensive and detailed description of the various faults kinds, factors, & different methods to fault tolerance used in the cloud and offers a comparative study of the structures under the article.
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Improving Classification Accuracy Using Clustering Technique
TL;DR: This study has used a large-scale real-world data set to identify the efficiency of clustering technique to improve the classification model and found that applying K-means clustering prior to KNN model helps in reducing the computation time.
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Peak load scheduling in smart grid using cloud computing
Manoj R. Hans,Vivekkant Jogi +1 more
TL;DR: Peak, energy management attainable is feasible by monitoring real-time readings of whole loads within the college premises victimization this schedule loads so energy saving is possible.
Journal ArticleDOI
The enhancement of logging system accuracy for infrastructure as a service cloud
TL;DR: The novel technical results of the enhanced logging system for customer virtual machines (VMs) in an Infrastructure as a Service (IaaS) cloud are introduced, finding that the enhanced system can work with a better system's accuracy and speed, with the simplicity of the design and implementation.
Journal ArticleDOI
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Network and Overloads
Kavita Sultanpure,L. S. S. Reddy +1 more
TL;DR: This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
References
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Journal ArticleDOI
Cloud computing: state-of-the-art and research challenges
Qi Zhang,Lu Cheng,Raouf Boutaba +2 more
TL;DR: A survey of cloud computing is presented, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges to provide a better understanding of the design challenges of cloud Computing and identify important research directions in this increasingly important area.
Journal ArticleDOI
A framework for ranking of cloud computing services
TL;DR: This work proposes a framework and a mechanism that measure the quality and prioritize Cloud services and will create healthy competition among Cloud providers to satisfy their Service Level Agreement (SLA) and improve their QoS.
Proceedings ArticleDOI
ASSURE: automatic software self-healing using rescue points
TL;DR: Experimental results show that ASSURE enabled recovery for all of the bugs tested with fast recovery times, has modest performance overhead, and provides automatic self-healing orders of magnitude faster than current human-driven patch deployment methods.
Proceedings ArticleDOI
Adaptive Fault Tolerance in Real Time Cloud Computing
Sheheryar Malik,Fabrice Huet +1 more
TL;DR: A fault tolerance model for real time cloud computing that tolerates the faults and makes the decision on the basis of reliability of the processing nodes, i.e. virtual machines, is proposed.
Journal ArticleDOI
Fault-tolerant Workflow Scheduling using Spot Instances on Clouds
TL;DR: A scheduling algorithm that schedules tasks on Cloud resources using two different pricing models (spot and on-demand instances) to reduce the cost of execution whilst meeting the workflow deadline is proposed.