A knowledge-based approach for self-healing service-oriented applications

Angarita, Rafael; Rukoz, Marta; Manouvrier, Maude; Cardinale, Yudith

doi:10.1145/3012071.3012100

Cited by 7 publications

(10 citation statements)

References 19 publications

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“…This self-adapting approach complements self-healing approaches, such as the one of Angarita et al, 46 that take into account environment state, execution state, and QoS criteria, to dynamically decide the best recovery strategy when a failure occurs. It also provides fuzzy retriability.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

“…In our previous works, 15,46 we propose such a model. In our previous works, 15,46 we propose such a model.…”

Section: Related Workmentioning

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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“…To do so, this framework uses Case-Based Reasoning (CBR) for using previous experiences to understand and solve new problems by means of service similarity. A knowledgebased approach for Service Composition based on self-healing was developed by Angarita et al [5]. SC is an application composed of a service set that interacts with each other and is invoked on the Web.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Based on the presented context, the integration of MobApps into SOA-based (Service-Oriented Architecture) systems have been a feasible alternative to overcome these limitations. In short, SOA provides an architectural model that enables services to be published by service providers, discovered and consumed by the stakeholders (i.e., client applications, other services, among others) by means of platform-independent communication process based on set of XML-based (eXtensible Markup Language) standards [1], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

A Framework to Support the Development of Self-adaptive Service-oriented Mobile Applications

Passini

Affonso

2018

International Conferences on Software Engineering and Knowledge Engineering

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Today's society is increasingly dependent on the use of mobile devices, which have changed over these last 10 years the way people perform their daily tasks. This can certainly be one of the factors that has boosted the demand for development of highquality Mobile Applications (MobApps). In short, to improve the efficiency of the development life cycle, these applications often use third-party components (e.g., software components, web services, and other mobile applications). Service-oriented MobApps have been a feasible alternative to overcome hardware limitations of these devices to increase the processing and storage capacity. In another perspective, it is also noted a change in the behavior of users of MobApps and their needs, which require applications capable of modifying their structure and/or behavior at runtime. Thus, this paper presents a framework to support the development of Self-adaptive Services-oriented MobApps (Self-MobApps), which enable adaptation of services at runtime. To show the feasibility of our framework, a case study for a smart restaurant was conducted. The results of this study enable us to create a positive perspective on the contribution of our framework to the research communities involved.

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“…We propose a Cloud computing architecture that benefits from the combination of the Cloud and multi-agent technologies. The self-adaptive multiagent system integrated into the proposed Cloud architecture is inspired on our previous work presented in [2], [3]. This self-adaptive system is a MAPE-K-based (monitoring, analyzing, planning, executing, and knowledge) approach [8] to reason and act, according to QoS (e.g., time, price), Cloud service information, and propagated run-time information, to detect QoS degradation, failures, or unavailability and make better resource allocation decisions for all users requests.…”

Section: Introductionmentioning

confidence: 99%

A Self-adaptive Agent-based System for Cloud Platforms

Soltane

Cardinale

Angarita

et al. 2018

2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)

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Cloud computing is a model for enabling on-demand network access to a shared pool of computing resources, that can be dynamically allocated and released with minimal effort. However, this task can be complex in highly dynamic environments with various resources to allocate for an increasing number of different users requirements. In this work, we propose a Cloud architecture based on a multi-agent system exhibiting a self-adaptive behavior to address the dynamic resource allocation. This self-adaptive system follows a MAPE-K approach to reason and act, according to QoS, Cloud service information, and propagated run-time information, to detect QoS degradation and make better resource allocation decisions. We validate our proposed Cloud architecture by simulation. Results show that it can properly allocate resources to reduce energy consumption, while satisfying the users demanded QoS.

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A knowledge-based approach for self-healing service-oriented applications

Cited by 7 publications

References 19 publications

Fuzzy ACID properties for self‐adaptive composite cloud services execution

Fuzzy ACID properties for self‐adaptive composite cloud services execution

A Framework to Support the Development of Self-adaptive Service-oriented Mobile Applications

A Self-adaptive Agent-based System for Cloud Platforms

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