What service replication middleware can learn from object replication middleware

Osrael, Johannes; Froihofer, Lorenz; Goeschka, Karl M.

doi:10.1145/1169091.1169094

Cited by 17 publications

(18 citation statements)

References 19 publications

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“…However, Osrael et al [30] conclude that traditional replication models in DOR are adoptable by SOR when considering the following differences: (1) Transaction model: DOR is compatible with traditional ACID transactions, while SOR can additionally be used for long running transactions. As argued by [30], transaction components are optional for replication, therefore distributed transaction protocols such as two phase and three phase commit protocols can be used for replication in a hot plunging-in fashion. This juncture does not have any impact on replication logic but mainly on the implementation details of transaction protocols.…”

Section: Service Oriented Replication Versus Data Oriented Replicationmentioning

confidence: 99%

“…Consistency models are referred to as the contracts between process and data for ensuring correctness of the system. Although these models are traditionally applied in terms of data consistency, recent research proposed to show that they could be well adopted in service-oriented environments [30]. In such context, a service typically controls a set of data and possibly consists of many other services, henceforth the granularity of data consistency model is subject to change form fine-grained to coarse-grained when applied in the context of SOR.…”

Section: Consistency Modelsmentioning

confidence: 99%

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Scalable service-oriented replication with flexible consistency guarantee in the cloud

Chen

Bahsoon

Tawil

2014

Information Sciences

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a b s t r a c tReplication techniques are widely applied in and for cloud to improve scalability and availability. In such context, the well-understood problem is how to guarantee consistency amongst different replicas and govern the trade-off between consistency and scalability requirements. Such requirements are often related to specific services and can vary considerably in the cloud. However, a major drawback of existing service-oriented replication approaches is that they only allow either restricted consistency or none at all. Consequently, service-oriented systems based on such replication techniques may violate consistency requirements or not scale well. In this paper, we present a Scalable Service Oriented Replication (SSOR) solution, a middleware that is capable of satisfying applications' consistency requirements when replicating cloud-based services. We introduce new formalism for describing services in service-oriented replication. We propose the notion of consistency regions and relevant service oriented requirements policies, by which trading between consistency and scalability requirements can be handled within regions. We solve the associated sub-problem of atomic broadcasting by introducing a Multi-fixed Sequencers Protocol (MSP), which is a requirements aware variation of the traditional fixed sequencer approach. We also present a Region-based Election Protocol (REP) that elastically balances the workload amongst sequencers. Finally, we experimentally evaluate our approach under different loads, to show that the proposed approach achieves better scalability with more flexible consistency constraints when compared with the state-of-the-art replication technique.

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Section: Service Oriented Replication Versus Data Oriented Replicationmentioning

confidence: 99%

Section: Consistency Modelsmentioning

confidence: 99%

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Chen

Bahsoon

Tawil

2014

Information Sciences

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“…Traditionally, the most common solution to sustain availability is the use of replicas which are managed according to specific replication strategies and are used when the original Web service fails [10,11,16]. Another solution is to group similarly-functional Web services into communities to improve their overall performance and availability [17].…”

Section: Availabilitymentioning

confidence: 99%

Sustaining High-Availability and Quality of Web Services

Lim

Thiran

2010

Current Trends in Web Engineering

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Abstract. In this work, we study how to sustain the high availability and quality of Web services by using communities of Web services. Availability is the probability that a Web service is in functioning condition at a specific time. Communities of Web services gather Web services that provide the same functionality, but not necessary with the same quality. Within this framework, an available Web service can be selected or even substituted by another one when it fails. In this research, we aim at investigating how to manage the community to sustain not only the high availability but also to guarantee the quality of service expected by the user.

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“…Traditional solutions that achieve availability are based on replication [6,14,15,22]. Replication consists of distributing copies of a software application (Web service in our case), over the network according to a specific strategy that indicates for instance, the right number of replicas, their appropriate locations, and the way they interact with the original copy and probably among each other.…”

Section: Introductionmentioning

confidence: 99%

“…Although replication seems to be the trend in sustaining the development of highly available Web services in the last few years [6,14,15,22], we discuss in this paper how this high availability could be sustained using communities that host Web services similarly functional to the Web service to back-up.…”

Section: Introductionmentioning

confidence: 99%

Sustaining Web Services High-Availability Using Communities

Maamar

Sheng

Benslimane

2008

2008 Third International Conference on Availability, Reliability and Security

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This paper discusses how communities of Web services sustain the high availability of Web services engaged in composition scenarios. Availability is the proportion of time that a system is in a functioning condition. Web services offering the same functionality like HotelBooking are gathered into a single community regardless of who developed them, where they are located, and how they function. The current practice to achieve Web services high-availability advocates the use of replicas, which are managed according to specific replication strategies and come into play when the original Web service to backup fails. Replacing Web services replicas with similarly functional Web services offers solutions to some of the limitations that feature these strategies, but at the same time raises other issues that are examined in this paper.

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What service replication middleware can learn from object replication middleware

Cited by 17 publications

References 19 publications

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Scalable service-oriented replication with flexible consistency guarantee in the cloud

Sustaining High-Availability and Quality of Web Services

Sustaining Web Services High-Availability Using Communities

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