Resource Management in the Autonomic Service-Oriented Architecture

Almeida, Jussara M.; Almeida, Virgı́lio; Ardagna, Danilo; Francalanci, Chiara; Trubian, Marco

doi:10.1109/icac.2006.1662385

Cited by 79 publications

(57 citation statements)

References 14 publications

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“…Similarly, the originally defined service description [18] and web service architecture [19] requirements also fail to incorporate autonomic requirements. In contrast, the AC community has identified the need for autonomic capabilities in SOAs already for a while (see e. g. [20]), but concentrates more on the realization of autonomic SOAs in their entirety (see e. g. [21]) along with the respective functional requirements [22], but did not explicitly focus on criteria for an autonomic service discovery as an integral part of autonomic SOAs, yet. Nevertheless, subsets of the criteria and requirements proposed by both communities have been reused in this paper.…”

Section: Autonomic Service Discovery Criteriamentioning

confidence: 99%

Towards Autonomic Service Discovery A Survey and Comparison

Rambold

Kasinger

Lautenbacher

et al. 2009

2009 IEEE International Conference on Services Computing

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Abstract-Service-oriented architecture has become the standard paradigm for software component integration. However, with the permanently increasing amount of available services and dynamic changes, the complexity of such service infrastructures, their maintenance, and consequently the expenditures spent for their operation increase equally. To deal with these effects, an improvement of service composition and discovery becomes necessary, especially a higher degree of automation. Following the idea of Autonomic Computing, which similarly aims at automating processes and workflows to a high degree, service composition and discovery have to proceed autonomously, which will on the one hand side reduce human involvement to a minimum, but on the other side require certain capabilities on the part of these mechanisms. For these purposes, in this paper we define prime criteria that have to be fulfilled for an autonomic service discovery. Based on that we present a comprehensive survey on existing service discovery approaches and evaluate to which extent they already fulfill these criteria. As a result, the paper reveals that there already exist some approaches that support or even fulfill a couple of the proposed criteria, which principally enables autonomic properties, but what is missing is an holistic approach focusing explicitly on providing autonomic properties.

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Section: Autonomic Service Discovery Criteriamentioning

confidence: 99%

Towards Autonomic Service Discovery A Survey and Comparison

Rambold

Kasinger

Lautenbacher

et al. 2009

2009 IEEE International Conference on Services Computing

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“…Finally, Almeida et al aim to determine short-term resource demands and long-term capacity requirements for multiple applications sharing a common set of resources [2]. However, this problem is different from ours: the problem there is to arbitrate between multiple disjoint applications competing for the same resources.…”

Section: Related Workmentioning

confidence: 99%

Autonomous resource provisioning for multi-service web applications

Jiang

Pierre

Chi

2010

Proceedings of the 19th International Conference on World Wide Web

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Dynamic resource provisioning aims at maintaining the endto-end response time of a web application within a predefined SLA. Although the topic has been well studied for monolithic applications, provisioning resources for applications composed of multiple services remains a challenge. When the SLA is violated, one must decide which service(s) should be reprovisioned for optimal effect. We propose to assign an SLA only to the front-end service. Other services are not given any particular response time objectives. Services are autonomously responsible for their own provisioning operations and collaboratively negotiate performance objectives with each other to decide the provisioning service(s). We demonstrate through extensive experiments that our system can add/remove/shift both servers and caches within an entire multi-service application under varying workloads to meet the SLA target and improve resource utilization.

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“…the time required to initiate a virtual machine and the time required for shutting it once it's never again required; the overhead because of virtualization itself is expected as one tenth of the accessible assets. In [1], the model concentrates on SLA infringement, endeavoring to limit them. To get a resolvable execution display, the likelihood of an administration time greater than the concurred esteem is limited by means of the Markov Inequality, and the model is monodimensional.…”

Section: Significance Of Resource Allocationmentioning

confidence: 99%

Efficient Allocation of Resources in Cloud Using Hybrid Optimization Based Algorithm

Yadav¹

2017

Ra Journals

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Resource Management in the Autonomic Service-Oriented Architecture

Cited by 79 publications

References 14 publications

Towards Autonomic Service Discovery A Survey and Comparison

Towards Autonomic Service Discovery A Survey and Comparison

Autonomous resource provisioning for multi-service web applications

Efficient Allocation of Resources in Cloud Using Hybrid Optimization Based Algorithm

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