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Open AccessJournal ArticleDOI

Proactive Scheduling in Cloud Computing

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.

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Citations
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Journal ArticleDOI

Towards Resilient Method: An exhaustive survey of fault tolerance methods in the cloud computing environment

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.
Journal ArticleDOI

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.
Journal ArticleDOI

Peak load scheduling in smart grid using cloud computing

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

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

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

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.
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