A SLA evaluation methodology in Service Oriented Architectures

Casola, Valentina; Mazzeo, Antonino; Mazzocca, Nicola; Rak, Massimiliano

doi:10.1007/978-0-387-36584-8_10

Cited by 37 publications

(28 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The inputs represent the measurable qualities which are the accuracy, availability, capacity, cost, related time, and scalability. The values of these inputs represent numeric value all the time ≤ 1 [11].One or two hidden layers to test the effect of increasing the hidden layers upon the performance of the architecture. The output layer consists either one neuron if we want to calculate trace of measurable matrix or five neurons represent the outputs (Request, Wait, Change, New Service, and Timer) for measurable part in ANNSLA model.…”

Section: Annsla Matlab Architecturementioning

confidence: 99%

Neural Network Solution For Service Level Agreement

Al-Aloussi¹

2013

IJACSA

View full text Add to dashboard Cite

Abstract-Service Oriented Computing is playing an important role in sharing the industry and the way business is conducted and services are delivered and managed. This paradigm is expected to have major impact on service economy; the service sector includes health services, financial services, government services, etc. This involves significant interaction between clients and service providers[1]. This paper is pointed in addressing the problem of enabling Service Level Agreement (SLA) oriented resources allocation in data centers to satisfy competing applications demand for computing services. A QoS report designed to compare performance variables to QoS parameters and indicate when a threshold has been crossed. This paper was suggested a methodology which helps in SLA evaluation and comparison. The methodology was found on the adoption of policies both for service behavior and SLA description and on the definition of a metric function for evaluation and comparison of policies. In addition, this paper contributes a new philosophy to evaluate the agreements between user and service provider by monitoring the measurable and immeasurable qualities to extract the decision by using artificial neural networks (ANN).

show abstract

Section: Annsla Matlab Architecturementioning

confidence: 99%

Neural Network Solution For Service Level Agreement

Al-Aloussi¹

2013

IJACSA

View full text Add to dashboard Cite

show abstract

“…The result is a collection of security statements (also called "security provisions" as in Figure 1) in the form {security attribute, value} (e.g., {Backup Frequency, Daily} and {Encryption Key Size, 512 bits}), as also proposed in different industrial and academic works [8], [29] and [23]. In order to be manageable, these security provisions must be organized into "categories" derived from a taxonomy e.g., Savola [30] or the Cloud Security Alliance's Cloud 1 http://quant-security.org Controls Matrix [9].…”

Section: Cloud Security Level Agreements (Seclas)mentioning

confidence: 99%

“…The concept of LSL is aligned with the notion of security ranges presented by Irvine and Levin [17] and has been widely used in the past (e.g. in [6], [8], [22] and [24]). …”

Section: Quantitative Aggregation On the Qptmentioning

confidence: 99%

Benchmarking cloud security level agreements using quantitative policy trees

Garcia

Langenberg

Suri

2012

Proceedings of the 2012 ACM Workshop on Cloud Computing Security Workshop

View full text Add to dashboard Cite

show abstract

“…Security requirements for web services have been treated by Casola et. al., who proposed a methodology to help evaluate and compare security SLAs (Casola et al, 2006). Frankova and Yautsiukhin have also recognized the need for security in SLAs (Frankova and Yautsiukhin, 2007), however, their approach focuses on the process of selecting the optimal service composition based on a set of predefined requirements rather than detailing what security mechanisms to include.…”

Section: Related Workmentioning

confidence: 99%

Security in Service Level Agreements for Cloud Computing

2011

Proceedings of the 1st International Conference on Cloud Computing and Services Science

View full text Add to dashboard Cite

Abstract:The Cloud computing paradigm promises reliable services, accessible from anywhere in the world, in an ondemand manner. Insufficient security has been identified as a major obstacle to adopting Cloud services. To deal with the risks associated with outsourcing data and applications to the Cloud, new methods for security assurance are urgently needed. This paper presents a framework for security in Service Level Agreements for Cloud computing. The purpose is twofold; to help potential Cloud customers to identify necessary protection mechanisms and, in the next step, to facilitate automatic service composition based on a set of predefined security requirements. We demonstrate the practical applicability of the first objective with a small case study.

show abstract

A SLA evaluation methodology in Service Oriented Architectures

Cited by 37 publications

References 5 publications

Neural Network Solution For Service Level Agreement

Neural Network Solution For Service Level Agreement

Benchmarking cloud security level agreements using quantitative policy trees

Security in Service Level Agreements for Cloud Computing

Contact Info

Product

Resources

About