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"A novel independent job rescheduling strategy for cloud resilience in " by Fei Xie, Jun Yan et al.

Purpose: Although 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/approach: A 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. Findings: The simulation results show that our proposed approach has better cloud resiliency and load balancing performance than the HEFT series approaches. Originality/value: This paper contributes to the cloud resilience by developing a novel job prioritizing, task rescheduling and timeline allocation method when facing faults. ....

Cloud Resiliency , Fault Tolerance , Ndependent Job Rescheduling , Oad Balancing Performance , Riority Assignment System , Imeline Allocation ,

"A novel PageRank-based fault handling strategy for workflow scheduling" by Fei Xie, Jun Yan et al.

Unexpected faults result in unscheduled cloud outage, which negatively affects the completion of workflow tasks in the cloud. This paper presents a novel PageRank-based fault handling strategy to rescue workflow tasks at the faulty data center. The proposed approach uses a holistic view and considers the task attributes, the timeline scenario, and the overall cloud performance. A priority assignment system is developed based on the modified PageRank algorithm to prioritise workflow tasks. A min-max normalization method is applied to select the target data center and match the timeline at this data center. Additionally, a dynamic PageRank-constrained task scheduling algorithm is proposed to generate the task scheduling solution. The simulation results show that the proposed approach can achieve better fault handling performance, measured by task resilience ratio, workflow resilience ratio, and workflow continuity ratio in both the traditional 3-replica and the image backup cloud environ ....

Cloud Performance , Ependent Tasks , Ault Handling , Pagerank Algorithm , Eactive Fault Tolerance , Ask Attributes , Task Scheduling , Imeline Allocation , Workflow Scheduling ,