The cost for meeting SLA dependability requirements; implications for customers and providers

Folstad, Eirik Larsen; Helvik, Bjarne E.

doi:10.1016/j.ress.2015.09.011

Cited by 9 publications

(11 citation statements)

References 25 publications

(26 reference statements)

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“…The SLA cooperation induced a great impact for completing the services in order to prevent network resources wastage [50]. During the problem formulation, these SLAs can be mapped in terms of RST (ts) and service MTTF s in seconds, minutes, hours, weeks, months or years.…”

Section: Proposed Frameworkmentioning

confidence: 99%

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

Sharma

Rathee

Kumar

et al. 2019

Sensors

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Due to advances in technology, research in healthcare using a cyber-physical system (CPS) opens innovative dimensions of services. In this paper, the authors propose an energy- and service-level agreement (SLA)-efficient cyber physical system for E-healthcare during data transmission services. Furthermore, the proposed phenomenon will be enhanced to ensure the security by detecting and eliminating the malicious devices/nodes involved during the communication process through advances in the ad hoc on-demand distance vector (AODV) protocol. The proposed framework addresses the two security threats, such as grey and black holes, that severely affect network services. Furthermore, the proposed framework used to find the different network metrics such as average qualifying service set (QSS) paths, mean hop and energy efficiency of the quickest path. The framework is simulated by calculating the above metrics in mutual cases i.e., without the contribution of malevolent nodes and with the contribution of malevolent nodes over service time, hop count and energy constraints. Further, variation of SLA and energy shows their expediency in the selection of efficient network metrics.

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Section: Proposed Frameworkmentioning

confidence: 99%

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

Sharma

Rathee

Kumar

et al. 2019

Sensors

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“…The customers sign SLAs with their service providers for specific contract periods. The contract period formally defines the agreed time for which the SLA is legally binding [5]. Every customer may sign one or more SLAs with a provider, depending on the type and importance of the services it would like to use (e.g., delay-sensitive voice communication, financial transactions, or best effort web traffic), as well as the respective quality and dependability-related requirements, i.e., the SLOs.…”

Section: Sdn Architecture and Slasmentioning

confidence: 99%

“…Note that by observation period, we mean a predefined time interval over which the service degradation metric is computed. In particular, several observation periods may exist within the SLA contract period [5].…”

Section: Assessment Of the Sla Violation Risk In Sdnmentioning

confidence: 99%

“…To ensure that the services are delivered at the required levels with respect to dependability, ISPs constantly monitor their networks and respond to all events affecting the performance of their services [1], [2]. As part of this task, they also try to estimate the risk of violation of the dependability requirements specified in Service Level Agreements (SLAs) signed with their customers to prepare and deploy adequate protection measures on time, thus avoiding major service disruption and the related penalty [3]- [5]. Each violation of the dependability-related Service Level Objectives (SLOs) defined in the corresponding SLA may lead to significant monetary consequences, affecting the ISP's reputation.…”

Section: Introductionmentioning

confidence: 99%

“…The currently used metrics in SLAs mainly refer to service downtime which has not been explicitly defined in the case of SDNs. The existing proposals cover non-SDN networks in which an ICT service is either available or not [3]- [5], [14]. At the same time, in SDNs, traffic flows established before a failure may still be successfully forwarded through a network, while the new flows between the same pair of nodes may be rejected due to the unavailability of the logicallycentralized controller.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the risk of violating SLA dependability requirements in software-defined networks

Kamisiński

Helvik

Gonzalez

et al. 2017

2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)

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Abstract-Dependability of computer and communication networks is an important aspect of the customer-provider relationship in the telecommunication industry. Considering the increasing interest in Software-Defined Networking (SDN) technologies, as well as unclear understanding of dependability in the context of traffic flows in such networks, it is not clear how to define the related objectives in Service Level Agreements (SLAs), and how to estimate the risk of violation of the included dependability requirements. In this paper, we present a solution to both issues and we evaluate it in different scenarios by simulation. The results show that the proposed method is feasible and may help service providers to select the preferred recovery technique in SDN based on the estimated risk of violation of the SLA dependability requirements and known Service Level Objectives (SLOs).

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A constrained framework for context‐aware remote E‐healthcare (CARE) services

Sharma

Kumar

2019

Trans Emerging Tel Tech

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Recently, due to the health awareness among the current generations, it leads us to give special attention to the remote E‐healthcare services. The remote E‐healthcare services have been categorized mainly into three categories: primary care, secondary care, and emergency care. Due to the categorized remote healthcare services, the resources must have to be utilized efficiently. Therefore, context‐aware modelling for the remote E‐healthcare (CARE) services has been used to save the resource wastage. The CARE services have been divided into three categories primary context‐aware remote E‐healthcare, secondary context‐aware remote E‐healthcare, and emergency context‐aware remote E‐healthcare (E‐CARE). Three different algorithms have been proposed for the performance analysis. The result shows that the proposed algorithms for the primary context‐aware remote E‐healthcare and secondary context‐aware remote E‐healthcare do not make more difference in the routing. However, the selection of the path for the E‐CARE shows that the hop count of the path has been increased. The increase in the hop count leads to an increase in energy efficiency and the life of the services. Additionally, observation made from our assigned algorithm E‐CARE shows that it performs extremely well for the E‐healthcare services without incrementing the time complexity. Furthermore, major characteristics of the algorithm has been explored and analyzed for the E‐healthcare services.

show abstract

The cost for meeting SLA dependability requirements; implications for customers and providers

Cited by 9 publications

References 25 publications

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

A Secure, Energy- and SLA-Efficient (SESE) E-Healthcare Framework for Quickest Data Transmission Using Cyber-Physical System

Assessing the risk of violating SLA dependability requirements in software-defined networks

A constrained framework for context‐aware remote E‐healthcare (CARE) services

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