Evaluating Overheads of Integrated Multilevel Checkpointing Algorithms in Cloud Computing Environment

Singh, Dilbag; Singh, Jaswinder Pal; Chhabra, Amit

doi:10.5815/ijcnis.2012.05.04

Cited by 12 publications

(7 citation statements)

References 24 publications

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“…In [18], fault tolerance module includes multilevel checkpoint functionality along with load balancing algorithms to decrease the checkpoint overheads. Checkpointing efficiency is improved and checkpoint overhead is reduced by considering various metrics such as computation time, migration time, latency, overhead, checkpoint ratio and response time.…”

Section: Related Workmentioning

confidence: 99%

Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach

Nandhini¹,

Gnanasekaran²

2017

IJCA

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Cloud computing provides platform for improving the flexibility in designing applications through exploiting the different layers of virtualization. Cloud computing is a new technology used for large scale enterprise applications. Cloud computing provides platform for improving the flexibility in designing applications through exploiting the different layers of virtualization The requirements of the business processes are met in the cloud computing. Cloud computing provides very high scalability, reconfigurable resources and higher availability of the resources. A robust Fault Tolerance strategy is a very critical component of cloud computing to meet the Service Level Objectives in cloud. High level of cloud serviceability is achievable through fault tolerance. The widely used strategies of fault tolerance are Checkpointing and Replication. In this paper an overview has been provided on various techniques of fault tolerance, dimensional view Checkpoint classification and a dynamically adaptive checkpointing model has beed proposed.

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Section: Related Workmentioning

confidence: 99%

Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach

Nandhini¹,

Gnanasekaran²

2017

IJCA

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“…In the same area and for the same purpose, the paper [17] utilizes BlobCR to optimize the checkpointing storage in cloud computing. The papers [9] and [20] propose also an adaptive checkpointing interval to minimize the overload. The checkpointing is used for the load balancing in [21].…”

Section: Related Workmentioning

confidence: 99%

Lightweight coordinated checkpointing in cloud computing

Meroufel

Belalem

2014

Journal of High Speed Networks

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Fault tolerance is actually an essential issue in cloud computing to face failures and minimize their damages. The checkpointing is a powerful fault tolerance technique that consists of saving the transient state of a computation system on a persistent storage from which the execution state can be restarted in case of failure. The coordinated checkpointing is an efficient checkpointing strategy because it is domino effect-free and it needs only the last stored checkpoint to ensure a consistent state. In this paper we propose a lightweight coordinated checkpointing for cloud computing that minimizes the overload of classical coordinated checkpointing by minimizing the number of the participating virtual machines (VMs) in each checkpointing interval. The experimental results prove that our proposal reduces the overload and improves the system performances.

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“…There are various common characteristics of Cloud including massive scale, homogeneity, Virtualization, Resilient Computing, Low-cost software, Geographic distribution, service orientation and advanced security technologies [6]. Cloud services placed a number of challenges [7] The checkpoint is a locally stable state of a process [8] which determines the consistency. Checkpoints are paramount and provide a point in time (PIT) copies of machines (VMs).…”

Section: Introductionmentioning

confidence: 99%

Cloud Service Ranking Using Checkpoint-Based Load Balancing in Real-Time Scheduling of Cloud Computing

Belgaum

Soomro

Alansari

et al. 2018

Advances in Intelligent Systems and Computing

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Cloud computing has been gaining popularity in the recent years. Several studies are being proceeded to build cloud applications with exquisite quality based on user's demands. In achieving the same, one of the applied criteria is checkpoint based load balancing in real time scheduling through which suitable cloud service is chosen from a group of cloud services candidates. Valuable information can be collected to rank the services within this checkpoint based load balancing. In order to attain ranking, different services are needed to be invoked in the cloud, which is time-consuming and wastage of services invocation. To avoid the same, this paper proposes an algorithm for predicting the ranks of different cloud services by using the values from previously offered services.

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Evaluating Overheads of Integrated Multilevel Checkpointing Algorithms in Cloud Computing Environment

Cited by 12 publications

References 24 publications

Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach

Fault Tolerance using Adaptive Checkpoint in Cloud–An Approach

Lightweight coordinated checkpointing in cloud computing

Cloud Service Ranking Using Checkpoint-Based Load Balancing in Real-Time Scheduling of Cloud Computing

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