Modeling dynamic recovery strategy for composite web services execution

Angarita, Rafael; Rukoz, Marta; Cardinale, Yudith

doi:10.1007/s11280-015-0329-1

Cited by 27 publications

(15 citation statements)

References 26 publications

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“…Although, many solutions have been proposed to adapt a web services based software solution to QoS changes of its component web services [20,21], but runtime monitoring of component web services, and then communication of the data, collected during monitoring, to the clients still needs to improve.…”

Section: Related Workmentioning

confidence: 99%

Effective Service Composition Approach based on Pruning Performance Bottlenecks

Kahlon¹,

Chahal²

2019

9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)

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In recent years, several online services have proliferated to provide similar services with same functionality by different service providers with varying Quality of Service (QoS) properties. So, service composition should provide effective adaptation especially in a dynamically changing composition environment. Meanwhile, a large number of component services pose scalability issues. As a result, monitoring and resolving performance problems in web services based systems is challenging task as these systems depend on component web services that are distributed in nature. In this paper, a distributed approach is used to identify performance related problems in component web services. The service composition adaptation provides timely replacement of the performance bottleneck source that can prohibit performance degradation for the forthcoming requests. Experimentation results demonstrate the efficiency of the proposed approach, and also the quality of solution of a service composition is maintained.

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Section: Related Workmentioning

confidence: 99%

Effective Service Composition Approach based on Pruning Performance Bottlenecks

Kahlon¹,

Chahal²

2019

9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)

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“…If the faulty component service can be retried [24], replicated [25], or substituted [26], forward recovery is allowed. If the effects produced by the faulty component service need to be compensated [27], backward recovery is allowed [28]. However, users need to wait a long time to get the desired response when forward recovery is adopted, and users are unable to get the desired answer to their queries when backward recovery is adopted [29].…”

Section: Dynamic Fault Tolerance Strategiesmentioning

confidence: 99%

“…Current execution state and partial results are taken as a snapshot, which is returned to the user when a fault occurs. The checkpointed composite service can be restarted from the latest saved state, and the aggregated transactional attributes are not affected [28]. The recent researches of the dynamic fault tolerance are discussed in the following sections.…”

Section: Dynamic Fault Tolerance Strategiesmentioning

confidence: 99%

Overview on Fault Tolerance Strategies of Composite Service in Service Computing

Zhang

Zhou

Sun

et al. 2018

Wireless Communications and Mobile Computing

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In order to build highly reliable composite service via Service Oriented Architecture (SOA) in the Mobile Fog Computing environment, various fault tolerance strategies have been widely studied and got notable achievements. In this paper, we provide a comprehensive overview of key fault tolerance strategies. Firstly, fault tolerance strategies are categorized into static and dynamic fault tolerance according to the phase of their adoption. Secondly, we review various static fault tolerance strategies. Then, dynamic fault tolerance implementation mechanisms are analyzed. Finally, main challenges confronted by fault tolerance for composite service are reviewed.

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“…12,53,54 For example, if a service is pr or cr, several replicas can be simultaneously invoked or it can be replaced by another functionally equivalent service when it fails. Some approaches have proposed some techniques, such as replication and substitution, that can support the condition of 100% of successful execution.…”

Section: Transactional Properties For Non-composite Servicesmentioning

confidence: 99%

Fuzzy ACID properties for self‐adaptive composite cloud services execution

Cardinale

Haddad

Manouvrier

et al. 2017

Concurrency and Computation

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The ACID transaction model has played a cornerstone role in service composition to guarantee that composite services (CSs) have transactional support and consistent outcomes even in presence of failures. However, the classical ACID properties are too restrictive for independent and multi-proprietors services running on distributed environments, such clouds. Transactional properties allow a relaxed atomicity and isolation, providing an "all-or-(almost)nothing" model.In previous works, we proposed a model to relax atomicity, called fuzzy atomicity, according user requirements (acceptable fuzzy atomicity). In this article, we extend that model and propose an approach to measure the fuzzy atomicity. Our model allows to self-adapt the CS execution, taking into account the state of the CS execution and user preferences (ie, the acceptable fuzzy atomicity expressed in the user requirements). This fuzzy atomicity measure is applied in a self-adaptive CS execution model based on the transactional properties (pivot, compensatable, and retriable) of its component services and on a checkpointing mechanism. It is suitable to cloud computing, which offers cloud services on demand and in which CS execution should preserve the self-organizing and self-adaptivity properties of such environment, specially in the presence of failures. We show how it is possible to relax the retriable property in CSs execution, based on our fuzzy atomicity model. Additionally, in this work, we present a comparative analysis of the most recent works in the context of ACID properties relaxation for CS. KEYWORDScloud computing services, fault tolerance, relaxed atomicity, self-adaptive execution, service composition INTRODUCTIONCloud is the most flexible and affordable on-demand platform for deploying custom applications in the form of services that are commonly called cloud services. The constantly increasing number of such services for accessing data on the cloud arises new challenges for enabling their integration and collaboration while guarantying self-organization and self-adaptivity properties, specially to manage failures. 1 Cloud services composition is a way to reach this collaboration and integration, since it consists in combining and coordinating several services allowing more complex service functionality that can respond more complex user queries. 2,3 Meanwhile, transactional support is a way to guarantee reliable composite service (CS), by considering the classical ACID (atomicity, consistency, isolation, and durability) transactional properties or a variation of them. [4][5][6][7] Traditional ACID transaction model provides an "all-or-nothing" execution approach to support service failures generally based on transactional properties, compensation, rollback, and replication. However, for some applications, the classical "all-or-nothing" model is too restrictive for independent and multi-proprietors services running on distributed environments, such as cloud platforms. In this sense, advanced transactional models have been adapted to rel...

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Modeling dynamic recovery strategy for composite web services execution

Cited by 27 publications

References 26 publications

Effective Service Composition Approach based on Pruning Performance Bottlenecks

Effective Service Composition Approach based on Pruning Performance Bottlenecks

Overview on Fault Tolerance Strategies of Composite Service in Service Computing

Fuzzy ACID properties for self‐adaptive composite cloud services execution

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