A distributed dynamic grid scheduler for mixed tasks

Kovvur, Ram Mohan Rao; Ramachandram, S.; Kadappa, Vijayakumar; Govardhan, A.

doi:10.1109/iadcc.2013.6514204

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…This approach takes failure history of resources into consideration before scheduling. Thus, this approach reduces the failure rates within the grid and also increases the performance and throughput [2,9,10].…”

Section: Introductionmentioning

confidence: 97%

A Hybrid Fault Tolerant Scheduler for Computational Grid Environment

Kovvur¹,

Ramachandram

2016

Proceedings of the International Congress on Information and Communication Technology

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A computational grid is an environment for achieving better performance and throughput by pooling geographically distributed heterogeneous resources dynamically depending on their availability, capability, performance, and cost and user quality of self-service requirement. Fault tolerant grid scheduling is a significant concern for computational grid systems. The handling of failures can happen either before or after scheduling tasks on grid resources. Generally, there are two approaches used for the handling of failures namely, post-active fault-tolerant approach and pro-active fault tolerant approach. Recently, a fault tolerant scheduler for grids proposed uses pro-active approach in selecting resources by computing scheduling indicator. However, this study did not considered failure of node while the task is being executed. Thus in our study, we incorporates post-active fault tolerant approach to the exiting study, i.e., migrating of task to another node in the event of failure of node while the task is being executed. We constructed a hybrid fault tolerant grid scheduler using GridSim 4.2 toolkit. We demonstrated that our proposed fault tolerant scheduler shows better results in terms of success rate in comparison with the existing fault tolerant scheduler.

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Section: Introductionmentioning

confidence: 97%

A Hybrid Fault Tolerant Scheduler for Computational Grid Environment

Kovvur¹,

Ramachandram

2016

Proceedings of the International Congress on Information and Communication Technology

Self Cite

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Tucano: A Service Scheduler and Load Balancer in a Distributed System

Gonçalves,

Paschoalini,

Aguiar

et al. 2024

Anais Estendidos Do XXV Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD Estendido 2024)

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As applications grow in complexity, their workloads grow heavier and more resource demanding. To address this challenge, a system of network-connected servers can be employed to distribute the processes from such applications, reducing performance loss caused by unequal resource sharing. This work introduces Tucano: a scheduler that leverages operating systems’ techniques to manage workloads in a distributed, container-oriented context. Additionally, Tucano implements a load balancer, that ensures the correct mapping of requests to their corresponding host servers. Through physical distribution and containerization, Tucano aims to explore an efficient and scalable strategy for managing multiple workloads.

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A distributed dynamic grid scheduler for mixed tasks

Cited by 2 publications

References 7 publications

A Hybrid Fault Tolerant Scheduler for Computational Grid Environment

A Hybrid Fault Tolerant Scheduler for Computational Grid Environment

Tucano: A Service Scheduler and Load Balancer in a Distributed System

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