A middleware for replicated Web services

Ye, X.; Shen, Yilin

doi:10.1109/icws.2005.8

Cited by 42 publications

(43 citation statements)

References 13 publications

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“…The problem of Web Service replication has been tackled by Salas et al in [39] by proposing an infrastructure for WAN replication of Web Services. A different approach, based on a middleware that supports reliable Web Services built on active replication has been proposed in [40]. Similarly, Erradi et al [41] propose a lightweight service-oriented middleware for transparently enacting recovery action in service-based processes; and Charfi et al [42] use an aspect-based container to provide middleware support for BPEL that plugs in support for non-functional requirements.…”

Section: Related Workmentioning

confidence: 99%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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Abstract. Increasingly complex information systems operating in dynamic environments ask for management policies able to deal intelligently and autonomously with problems and tasks. An attempt to deal with these aspects can be found in the Service-Oriented Architecture (SOA) paradigm that foresees the creation of business applications from independently developed services, where services and applications build up complex dependencies. Therefore the dependability of SOA systems strongly depends on their ability to self-manage and adapt themselves to cope with changes in the operating conditions and to meet the required dependability with a minimum of resources. In this paper we propose a model-based approach to the realization of self-adaptable SOA systems, aimed at the fulfillment of dependability requirements. Specifically, we provide a methodology driving the system adaptation and we discuss the architectural issues related to its implementation. To bring this approach to fruition, we developed a prototype tool and we show the results that can be achieved with a simple example.

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Section: Related Workmentioning

confidence: 99%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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“…WS-Replication [36] provides availability guarantee for replicated services based on active replication and JGroup, which uses the UB fixed sequencer protocol. Ye and Shen [45] propose a middleware using active replication as well, but it relies on communication history based one the abcast protocol. [31] present a middleware based on a variation of passive replication, which is rather close to active replication.…”

Section: Replication and Consistency In Service-oriented Systemsmentioning

confidence: 99%

“…Generally, there are two form of protocols by which consistency can be guaranteed: (1) two-phase protocol [16,39,41] where the first phase runs unordered but with reliable broadcast, out-of-order operations are rolled back when found. (2) Apply atomic broadcast (abcast) protocol over reliable communication [15,17,31,36,45], which prevents inconsistent ordering from happening. In this work, we are specially interested on the later category.…”

Section: Cc1mentioning

confidence: 99%

“…Therefore in most cases requirements for consistency and scalability varies depending on the services needed. Nevertheless, existing service replication approaches and middlewares [16,25,31,36,39,41,45,48] force engineers to choose between a rather restricted consistency management in a cloud environment with the replication of services for scalability. Suppose the business does not require restricted consistency.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Group communication primitives [4] can be used to ensure the ordering of the clients' requests in active replication. However, replication schemes using group communication primitives suffer from high overhead due to the high synchronization cost amongst the replicas [21] . To reduce the synchronization overhead, we are using time stamp based replication protocol to ensure total ordering of client request.…”

Section: Design Details Of Time Stamp Based Replication Protocol (Tsp)mentioning

confidence: 99%

Providing Reliability in Replicated Middleware Applications

Saravanan¹

2009

J. of Computer Science

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Problem statement: Data inconsistency is raised in actively replicated environment due to non-determinism in the applications that defeats the purpose of replication as a fault-tolerance strategy. Approach: We proposed an efficient framework RTC which ensured determinism among the replicas in fault tolerance middleware applications. This method exploits the technique of statically analyzing the application source code of client and identifies the variables and system calls which lead to nondeterministic state in the replicas. The source code consists of non-deterministic variables and system calls which are identified and set the flag field. The client request consist of flag field and the service request, which is sent to all the servers through time stamp based replication protocol (TSP) that facilitate the multiple clients and the request is sent to the servers. The distributed coordination method was initiated if necessary; otherwise send any one response of the servers to the client by duplicate removal. Distributed coordination which involves, the selection of a primary replica based on the time stamp value. It is responsible for taking all non-deterministic decisions. The state of the primary replica was updated to all other replica connected asynchronously to maintain consistency. Results: We evaluated our technique by increasing the contamination percentage of non-determinism and increasing number of replicas. Conclusion: The method suggested by us reduces the communication and synchronization overhead which was proved through implementation. We evaluate our technique for the active replication of servers using micro benchmarks that contain various sources of nondeterminism. Multi-threading, system call, shared I/O and random ( ).

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A middleware for replicated Web services

Cited by 42 publications

References 13 publications

Towards Self-adaptation for Dependable Service-Oriented Systems

Towards Self-adaptation for Dependable Service-Oriented Systems

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

Providing Reliability in Replicated Middleware Applications

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