Proactive service migration for long-running Byzantine fault-tolerant systems

Zhao, Wenbing; Zhang, H.

doi:10.1049/iet-sen.2008.0065

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…These two basic technical issues have been solved. The motivation of service migration includes optimal service placement (Oikonomou and Stavrakakis, 2010), parallel computing (Cohen et al, 2009;Song and Cheng-Zhong, 2005;Tripathi et al, 2009), improving network utilisation (Chin-Shiuh et al, 2008), embedded networks services (Sommer et al, 2010), fault-tolerant (Zhao and Zhang, 2009) and minimising energy consumption (Carroll et al, 2011). Cohen et al (2009) delivered services to the dataset sites to avoid the great transmission cost of huge amounts of data.…”

Section: Related Workmentioning

confidence: 99%

“…Song and Cheng-Zhong (2005) proposed a service migration mechanism in grid computing environment, which moves the computational services of a virtual server to available servers so that jobs can resume computation on a remote server without requiring service pre-installation. Zhao and Zhang (2009) presented a proactive service migration mechanism for long-running Byzantine fault-tolerant systems. An ongoing service can benefits from the service migration, in terms of improved service quality and bandwidth utilisation by dynamically migrating from a distant server to a new server with shorter "weighted network distance" (Chin-Shiuh et al, 2008).…”

Section: Related Workmentioning

confidence: 99%

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Probabilistic-based workload forecasting and service redeployment for multi-tenant services

Liu

et al. 2016

IJHPCN

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This paper presents a two-stage service migration decision method which combines business workload forecasting with real-time load sensing, and thus adds business forecasting to previous load balancing approaches that rely solely upon real-time load sensing. The migration decision procedure and the detailed causal analysis algorithms based on Bayesian networks are also given. After the critical business indicators have been obtained from causal analysis, business fluctuation related with the critical indicators can be forecasted by using Markov chain method. And then, the migration decision can be made based on the forecasting results and the real-time load information together. We evaluate the migration decision method through three sets of experiments. We found that by migrating service on a shared multi-tenant service environment, the QoS requirement can be assured dynamically and the capability of workloads increases under same resource cost, which is helpful in optimised deploying for multi-tenant applications. include service computing and data engineering. This paper is a revised and expanded version of a paper entitled 'Probabilistic-based workload forecasting and service redeployment for multi-tenant services' presented at The

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Probabilistic-based workload forecasting and service redeployment for multi-tenant services

Liu

et al. 2016

IJHPCN

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“…Distributed service discovery protocol for pervasive environments based on the concepts of peer-to-peer caching of service advertisements and group-based intelligent forwarding of service requests is discussed in [25]. Fault-tolerant systems during service provisioning and migration due to the link failure is discussed in [26][27] [28] [29][30] [31].…”

Section: Related Workmentioning

confidence: 99%

“…Service discovery using these above mentioned protocols is an important problem, where each mobile node is required to automatically discover and provide the available network services among themselves [21][22 [23][24] [25]. During the time of service provisioning there may occur fault such as service link cutoff or disabling of devices and so proactive recovery is an essential method for ensuring the long-term reliability of fault-tolerant systems that are under continuous threats from malicious adversaries [26] [27]. A path reestablishment and service migration for transferring resources to other device from the service provisioning device is required after link break is happened and is discussed in [28] [29][30] [31].…”

mentioning

confidence: 99%

A novel Routing and service migration scheme for communication among heterogeneous devices in pervasive environment

Shaji

Rajesh

Ramakrishnan

et al. 2011

2011 International Conference on Computer, Communication and Electrical Technology (ICCCET)

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In pervasive environment various devices with varying medium of access, mobility and connectivity have different types of services available among themselves. We are in need of a computing scheme which can utilize this limited amount of resources in the network in an efficient way. In this paper, we have considered various aspects of routing to find out the most efficient devices for service provisioning in the environment and the chances of failure during the communication among the devices like link breakage, accidental disabling etc. Our paper discusses the migration of services to other available devices for continuing the service provisioning after the failure is occurred. We present a special Routing schemef called SFUSP (Self Eliminating Fault Tolerance Based Uninterrupted Reliable Service Switching Mobile Protocol) and is designed for discovering proper services in pervasive environment based on the context in request using Pervasive Discovery Protocol (PDP). This is a proactive routing scheme with additional functionalities such as clustering and comparison technique to find out a reliable path that consists of efficient nodes with services. Comparison on fault success and migration time is done with other routing protocols such as AODV, DSR and OLSR under different MAC layers in combined, such as IEEE 802.11, 802.15 and 802.16 under Random, Brownian and Manhattan Mobility models using Media Independent Handoff protocol.

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“…Since the reboot and recovery operations are performed as part of the critical execution sequence, they take more time to achieve a stable state by recovering failed node. A proactive recovery mechanism based on service migration [21] was proposed to overcome limitations of reboot and recovery mechanisms. In this scheme pool of spare nodes are used to migrate longrunning applications off the critical path, run as background/separate tasks, thereby minimizing the reboot and recovery time.…”

Section: Related Workmentioning

confidence: 99%

Fault tolerant software systems using software configurations for cloud computing

Chinnaiah

Niranjan

2018

J Cloud Comp

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Customizable software systems consist of a large number of different, critical, non-critical and interdependent configurations. Reliability and performance of configurable system depend on successful completion of communication or interactions among its configurations. Most of the time users of configurable systems very often use critical configurations than non-critical configurations. Failure of critical configurations will have severe impact on system reliability and performance. We can overcome this problem by identifying critical configurations that play a vital role, then provide a suitable fault tolerant candidate to each critical configuration. In this article we have proposed an algorithm that identifies optimal fault tolerant candidate for every critical configuration of a software system. We have also proposed two schemes to classify configurations into critical and non-critical configurations based on: 1) Frequency of configuration interactions (IFrFT), 2) Characteristics and frequency of interactions (ChIFrFT). These schemes have played very important role in achieving reliability and fault tolerance of a software system in a cost effective manner. The percentage of successful interactions of IFrFT and ChIFrFT are 25 and 40% higher than that of the NoFT scheme. In NoFT scheme none of the configurations are supported by fault tolerance candidates. Performance of IFrFT, ChIFrFT, and NoFT schemes are tested using a file structure system.

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Proactive service migration for long-running Byzantine fault-tolerant systems

Cited by 9 publications

References 19 publications

Probabilistic-based workload forecasting and service redeployment for multi-tenant services

Probabilistic-based workload forecasting and service redeployment for multi-tenant services

A novel Routing and service migration scheme for communication among heterogeneous devices in pervasive environment

Fault tolerant software systems using software configurations for cloud computing

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