An Improved Dynamic Fault Tolerant Management Algorithm during VM migration in Cloud Data Center

Sivagami, V. M.; Easwarakumar, K. S.

doi:10.1016/j.future.2018.11.002

Cited by 45 publications

(22 citation statements)

References 22 publications

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“…Sivagami et al [ 36 ] presented an Assured Virtual Cloud Data Center framework for fault tolerance and availability of cloud data centers. A load monitoring and balancing algorithm is proposed to estimate the load on virtual links and distribute the available physical resources concisely among the VMs.…”

Section: Recent Related Workmentioning

confidence: 99%

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

Saxena

Singh

2022

J Supercomput

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The indispensable collaboration of cloud computing in every digital service has raised its resource usage exponentially. The ever-growing demand of cloud resources evades service availability leading to critical challenges such as cloud outages, SLA violation, and excessive power consumption. Previous approaches have addressed this problem by utilizing multiple cloud platforms or running multiple replicas of a Virtual Machine (VM) resulting into high operational cost. This paper has addressed this alarming problem from a different perspective by proposing a novel nline virtual machine ailure rediction and olerance odel (OFP-TM) with high availability awareness embedded in physical machines as well as virtual machines. The failure-prone VMs are estimated in real-time based on their future resource usage by developing an ensemble approach-based resource predictor. These VMs are assigned to a failure tolerance unit comprising of a resource provision matrix and Selection Box (S-Box) mechanism which triggers the migration of failure-prone VMs and handle any outage beforehand while maintaining the desired level of availability for cloud users. The proposed model is evaluated and compared against existing related approaches by simulating cloud environment and executing several experiments using a real-world workload Google Cluster dataset. Consequently, it has been concluded that OFP-TM improves availability and scales down the number of live VM migrations up to 33.5% and 83.3%, respectively, over without OFP-TM.

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Section: Recent Related Workmentioning

confidence: 99%

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

Saxena

Singh

2022

J Supercomput

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“…Sivagami and Easwarakumar [34] improved dynamic FTS during VM migration (DFTM) in Cloud Data Centre. In this research, the load balancing is considered to monitor the workload of virtual links and distribute it to VMs.…”

Section: Related Workmentioning

confidence: 99%

Fault‐tolerant with load balancing scheduling in a fog‐based IoT application

Sharif

Nickray²,

Shahidinejad

2020

IET Communications

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“…Although a cloud data center often has its own proactive fault handling plan, the threat of unplanned outages still exists [1][2][3][4]. Therefore, cloud resiliency is an important issue to successfully keep a stable cloud computing environment under fault scenarios [5].…”

Section: Introductionmentioning

confidence: 99%

A novel independent job rescheduling strategy for cloud resilience in the cloud environment

Xie

Yan

Shen

2022

ACI

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PurposeAlthough proactive fault handling plans are widely spread, many unexpected data center outages still occurred. To rescue the jobs from faulty data centers, the authors propose a novel independent job rescheduling strategy for cloud resilience to reschedule the task from the faulty data center to other working-proper cloud data centers, by jointly considering job nature, timeline scenario and overall cloud performance.Design/methodology/approachA job parsing system and a priority assignment system are developed to identify the eligible time slots for the jobs and prioritize the jobs, respectively. A dynamic job rescheduling algorithm is proposed.FindingsThe simulation results show that our proposed approach has better cloud resiliency and load balancing performance than the HEFT series approaches.Originality/valueThis paper contributes to the cloud resilience by developing a novel job prioritizing, task rescheduling and timeline allocation method when facing faults.

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An Improved Dynamic Fault Tolerant Management Algorithm during VM migration in Cloud Data Center

Cited by 45 publications

References 22 publications

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

Fault‐tolerant with load balancing scheduling in a fog‐based IoT application

A novel independent job rescheduling strategy for cloud resilience in the cloud environment

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