Dynamic replication and synchronization of web services for high availability in mobile ad-hoc networks

Dustdar, Schahram; Juszczyk, Lukasz

doi:10.1007/s11761-007-0006-z

Cited by 26 publications

(13 citation statements)

References 22 publications

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“…It is performed in two different styles: Dynamic replica selection (Thakur et al, 2012) and Dynamic replica placement (Mohamed et al, 2013;Dustdar, 2007). The replication process can be implemented using different techniques depending on the components involved and their characteristics.…”

Section: Replication Literature Reviewmentioning

confidence: 99%

A Generalized Service Replication Process in Distributed Environments

Yamany

Mohamed

Grolinger

et al. 2015

Proceedings of the 5th International Conference on Cloud Computing and Services Science

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Abstract:Replication is one of the main techniques aiming to improve Web services' (WS) quality of service (QoS) in distributed environments, including clouds and mobile devices. Service replication is a way of improving WS performance and availability by creating several copies or replicas of Web services which work in parallel or sequentially under defined circumstances. In this paper, a generalized replication process for distributed environments is discussed based on established replication studies. The generalized replication process consists of three main steps: sensing the environment characteristics, determining the replication strategy, and implementing the selected replication strategy. To demonstrate application of the generalized replication process, a case study in the telecommunication domain is presented. The adequacy of the selected replication strategy is demonstrated by comparing it to another replication strategy as well as to a non-replicated service. The authors believe that a generalized replication process will help service providers to enhance QoS and accordingly attract more customers.

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Section: Replication Literature Reviewmentioning

confidence: 99%

A Generalized Service Replication Process in Distributed Environments

Yamany

Mohamed

Grolinger

et al. 2015

Proceedings of the 5th International Conference on Cloud Computing and Services Science

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“…In [2], [3], the replication process depends on the whole knowledge of the network where nodes should require the information about the other nodes in the network. By using link quality to predict network partitioning, the original service is replicated to the node with high battery lifetime in the partition.…”

Section: Related Workmentioning

confidence: 99%

“…There have been proposed several methods that replicate a service to some new host nodes based on particular strategies such as a whole knowledge of the network [2], [3], network partitioning [4]- [8], network density [9], or client's request rate [10]. Most of these methods focus on how to increase the service availability without taking into account the energy consumption.…”

Section: Introductionmentioning

confidence: 99%

HDAR: Highly Distributed Adaptive Service Replication for MANETs

Ahmed

Yasumoto

Ito

et al. 2011

IEICE Trans. Inf. & Syst.

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SUMMARYMobile Ad Hoc Networks (MANETs) offer quick and easy network deployment in situations where it is not possible otherwise and they can be used to provide mobile users with a temporary infrastructure to use services in the absence of fixed infrastructure. Nodes in MANETs are free to move and organize themselves in an arbitrary fashion. The challenging task in such dynamic environments is how to improve the service availability. Replicating a service at some nodes distributed across the network is an effective strategy. However, service replication can considerably impact the system energy consumption. Since mobile devices have limited battery resources, a dynamic and efficient service replication is necessary to support such environments. In this paper, we propose a distributed service replication scheme for achieving high service availability with reasonable energy consumption for MANETs. The proposed method called HDAR (Highly Distributed Adaptive Service Replication) divides the whole network into disjoint zones of at most 2-hops in diameter and builds a dynamic replication mechanism which selects new replica zones depending on their service demand and the tradeoff between the communication and replication energy consumption costs. Through simulations, we confirmed that our approach can achieve higher service availability with reasonable energy consumption than existing methods.

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“…Various service replication strategies [6], [12], [19], [20] have been developed for fault-tolerant service-oriented systems; however, only the replication of atomic services has been considered and the optimal number of replicas has not been addressed. To optimize SLA and operational cost, the optimal provisioning of service replicas has mainly been shown in the context of simple single-tier web hosting systems [8], i.e., clients send requests directly to services.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Replication in Service-Oriented Systems

Björkqvist

Chen

Binder

2012

2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012)

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Service-oriented systems, consisting of atomic services and their compositions hosted in service composition execution engines (CEEs), are commonly deployed to deliver web applications. As the workloads of applications fluctuate over time, it is economical to autonomously and dynamically adjust system capacity, i.e., the number of replicas for atomic services and CEEs. In this paper, we propose a novel replica provisioning policy, Resos, which adjusts the number of CEE and service replicas periodically based on the predicted workloads such that all replicas are well utilized at the target values. In particular, Resos models the workload balance and dependency between CEE and service replicas by estimating the probability that threads of CEE replicas are not blocked by I/O. Moreover, we derive the analytical bounds of CEE effective utilization and illustrate the cause of low nominal utilization at CEE replicas. We evaluate Resos on a simulated service-oriented system, which hosts CEE and service replicas on multi-threaded servers. The evaluated workload is derived from utilization traces collected from production systems. Through simulation, we demonstrate that Resos effectively reduces the number of required replicas while maintaining target utilization and lowering the response times of requests.

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Dynamic replication and synchronization of web services for high availability in mobile ad-hoc networks

Cited by 26 publications

References 22 publications

A Generalized Service Replication Process in Distributed Environments

A Generalized Service Replication Process in Distributed Environments

HDAR: Highly Distributed Adaptive Service Replication for MANETs

Dynamic Replication in Service-Oriented Systems

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