A Parallel Branch and Bound Algorithm for Workflow QoS Optimization

Kofler, Kevin; Haq, Irfan Ul; Schikuta, Erich

doi:10.1109/icpp.2009.34

Cited by 28 publications

(12 citation statements)

References 6 publications

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“…In such situation, cloud service composition allows organizing various software applications and virtualized resources (eg, storage, platforms, and mashup applications) into a set of interacting services to construct cloud services that meet specific quality criteria. Considered as a complex and NP‐hard problem, cloud service composition is an optimization problem introduced for the first time in Zeng et al and Kofler et al…”

Section: Background On Cloud Service Compositionmentioning

confidence: 99%

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Multicloud service composition: A survey of current approaches and issues

Lahmar¹,

Mezni

2018

J Software Evolu Process

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During the last decade, cloud computing became a natural choice to host and provide various computing resources as on‐demand services. To better satisfy user requirements, cloud services may be combined while considering the constraints of the virtualized environment, including security policies, resources availability, and interoperability. Extensive surveys have been conducted to study the major issues related to the cloud service composition problem. However, very few works have studied such issues in a multicloud setting. To fill this gap, we provide in this paper a systematic literature review on multicloud service composition. We start with a background on service composition in single clouds. Then, we present the multicloud taxonomy, and we study how service composition was tackled by researchers in multicloud environments. Finally, we identify the challenges and the requirements of multicloud service composition, as well as the future directions.

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Section: Background On Cloud Service Compositionmentioning

confidence: 99%

“…Several approaches have been proposed to solve the cloud service composition problem. These approaches are classified by Jula et al into 5 categories: the first one includes classic algorithms and graph‐based algorithms . The second one contains combinatorial algorithms .…”

Section: Background On Cloud Service Compositionmentioning

confidence: 99%

Multicloud service composition: A survey of current approaches and issues

Lahmar¹,

Mezni

2018

J Software Evolu Process

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“…The outlined formal model is based on the system ontology presented in Section 3 and follows the approach developed in [7].…”

Section: Formal Representation Of the Tag Components And Attributesmentioning

confidence: 99%

A Dynamic Multi-Objective Optimization Framework for Selecting Distributed Deployments in a Heterogeneous Environment

Vinek

Beran

Schikuta

2011

Procedia Computer Science

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In distributed systems, where several deployments of a specific service exist, it is a crucial task to select and combine concrete deployments to build an executable workflow. Non-functional properties such as performance and availability are taken into account in such selection processes that are designed to reach certain objectives while meeting constraints. In this paper, a concrete data-intensive application scenario from a High-Energy Physics experiment comprising a deployment selection challenge is introduced. A generic model for distributed systems is presented based on which a formal model representing the individual components of the system is derived. The optimization problem is approached both from the angle of the user and the angle of the system provider. Moreover the dynamic aspects of the underlying system are taken into account. This results in a dynamic multi-objective optimization problem for which an explicit memory-based genetic algorithm is proposed.

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“…In the process of service selection, the reputation transfer helps to select the least violation-prone services, taking into account proactive measures to avoid SLA violations. Out of all the available services, the client (which is also a service in this case) first filters the best services complying its "happiness criteria" [10]. Then the client compares the credentials from reputation objects of the services.…”

Section: Proposed Model Via Use Case Scenariomentioning

confidence: 99%

Distributed Trust Management for Validating SLA Choreographies

Haq

Alnemr

Paschke

et al. 2010

Grids and Service-Oriented Architectures for Service Level Agreements

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For business workflow automation in a service-enriched environment such as a grid or a cloud, services scattered across heterogeneous Virtual Organisations (VOs) can be aggregated in a producer-consumer manner, building hierarchical structures of added value. In order to preserve the supply chain, the Service Level Agreements (SLAs) corresponding to the underlying choreography of services should also be incrementally aggregated. This cross-VO hierarchical SLA aggregation requires validation, for which a distributed trust system becomes a prerequisite. Elaborating our previous work on rule-based SLA validation, we propose a hybrid distributed trust model. This new model is based on Public Key Infrastructure (PKI) and reputation-based trust systems. It helps preventing SLA violations by identifying violation-prone services at service selection stage and actively contributes in breach management at the time of penalty enforcement.

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A Parallel Branch and Bound Algorithm for Workflow QoS Optimization

Cited by 28 publications

References 6 publications

Multicloud service composition: A survey of current approaches and issues

Multicloud service composition: A survey of current approaches and issues

A Dynamic Multi-Objective Optimization Framework for Selecting Distributed Deployments in a Heterogeneous Environment

Distributed Trust Management for Validating SLA Choreographies

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