SLA e-Negotiations, Enforcement and Management in an Autonomic Environment

Koumoutsos, Giannis; Denazis, Spyros; Thramboulidis, Kleanthis

doi:10.1007/978-3-540-87355-6_12

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…Others inspected the use of ontologies as knowledge bases (KBs), but only at a conceptual level. Koumoutsos et al [24] view the system in four layers (i.e., business, system, network and device) and break down the SLA into relevant information for each layer, but they give no implementation details. Bahati et al [25] also use policies, i.e., rules, to achieve autonomic management.…”

Section: Related Workmentioning

confidence: 99%

Facilitating Self-Adaptable Inter-cloud Management

Kecskeméti

Maurer²,

Brandić³

et al. 2012

2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

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Abstract-Cloud Computing infrastructures have been developed as individual islands, and mostly proprietary solutions so far. However, as more and more infrastructure providers apply the technology, users face the inevitable question of using multiple infrastructures in parallel. Federated cloud management systems offer a simplified use of these infrastructures by hiding their proprietary solutions. As the infrastructure becomes more complex underneath these systems, the situations (like system failures, handling of load peaks and slopes) that users cannot easily handle, occur more and more frequently. Therefore, federations need to manage these situations autonomously without user interactions. This paper introduces a methodology to autonomously operate cloud federations by controlling their behavior with the help of knowledge management systems. Such systems do not only suggest reactive actions to comply with established Service Level Agreements (SLA) between provider and consumer, but they also find a balance between the fulfillment of established SLAs and resource consumption. The paper adopts rule-based techniques as its knowledge management solution and provides an extensible rule set for federated clouds built on top of multiple infrastructures.

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Section: Related Workmentioning

confidence: 99%

Facilitating Self-Adaptable Inter-cloud Management

Kecskeméti

Maurer²,

Brandić³

et al. 2012

2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

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“…This tailoring can happen in a series of meetings prior to beginning the service experience; there are also methods for negotiating SLAs automatically at run-time (e.g. [2], [3], [4], [5]). …”

Section: Service Level Agreementsmentioning

confidence: 99%

“…The new web service runs in the Apache Axis SOAP stack 5 on Apache Tomcat 6 6 , and is implemented in Java. The majority of the service was generated using the Axis wsdl2java tool.…”

Section: Moving To Distributed Computingmentioning

confidence: 99%

Maintaining and evolving Service Level Agreements: Motivation and case study

Smit

Stroulia

2011

2011 International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems

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Abstract-Inter-organization service-oriented compositions are governed by Service Level Agreements (SLAs). While the software is maintained and evolved in response to changing business requirements or technology, the governing SLA and software configuration designed to meet this SLA do not always change in step. SLAs are negotiated and may have legal standing, which makes their maintenance expensive and time consuming. If an SLA is established that meets the requirements of the service consumer, changing the software without updating the configuration and/or the SLA may result in unmet requirements and reduced satisfaction. This paper begins by examining the business perspective on SLAs as a guide and motivation to maintaining SLAs. A simulation-driven approach to updating a configuration in step with ongoing maintenance efforts is presented. The approach is illustrated using a case study, where we examine how a configuration is updated in two maintenance scenarios: one where the application is migrated to a cloud computing platform, and another where it is migrated to use a distributed computing platform. Our approach suggests configurations that maintain existing performance levels.

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“…Currently most of the related work on the knowledge management in self-adaptable Clouds can be classified into the following groups: (i) work on SLA management which is however not preventive SLA management [12], [14], [16], [24]; (ii) knowledge management in general and not tied to Cloud computing [20], [23]; and (iii) autonomic management in various areas (e.g., SOA, workflow based systems, energy efficiency) [10], [17]- [19], [22], [25].…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, considerable body of work has also been done for the prevention of SLA violations [20]. These approaches, however, are very tied to a single special parameter, e.g., CPU utilization.…”

Section: Introductionmentioning

confidence: 99%

Towards Knowledge Management in Self-Adaptable Clouds

Maurer

Brandić

Emeakaroha

et al. 2010

2010 6th World Congress on Services

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Abstract-Cloud computing represents a promising computing paradigm where resources have to be allocated to software that needs to be executed. Self-manageable Cloud infrastructures are required to achieve that level of flexibility on the one hand, and to comply to users' requirements specified by means of Service Level Agreements (SLAs) on the other. Such infrastructures should automatically respond to changing component, workload, and environmental conditions minimizing user interactions with the system and preventing violations of agreed SLAs. However, identification of system states where reactive actions are necessary for the prevention of SLA violations is far from trivial. In this paper we investigate how current knowledge management systems can be used for the prevention of SLA violations in Clouds. First, we define a typical SLA use case and formulate the expected behavior of the knowledge management system in order to prevent possible SLA violations. Second, we investigate different methods for the knowledge management, e.g., situation calculus and case based reasoning (CBR). We discuss how these methods match the expected behavior for SLA violation prevention. We in particular examine the CBR method and devise several approaches for the knowledge management in Clouds based on CBR. Finally, we evaluate our approach based on the presented use case.

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SLA e-Negotiations, Enforcement and Management in an Autonomic Environment

Cited by 7 publications

References 9 publications

Facilitating Self-Adaptable Inter-cloud Management

Facilitating Self-Adaptable Inter-cloud Management

Maintaining and evolving Service Level Agreements: Motivation and case study

Towards Knowledge Management in Self-Adaptable Clouds

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