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Service level

About: Service level is a research topic. Over the lifetime, 7647 publications have been published within this topic receiving 126093 citations. The topic is also known as: service level.


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Patent
11 May 2011
TL;DR: In this article, an intelligent parking guidance and information system which comprises a data acquisition system, a communication network, a central control system, an internet and a user terminal is presented.
Abstract: The utility model discloses an intelligent parking guidance and information system which comprises a data acquisition system, a communication network, a central control system, an internet and a user terminal. The data acquisition system is connected with the central control system by the communication network. The central control system is connected with the user terminal by the internet. Due to the adoption of the technical scheme of the utility model, the utilization ratio of parking lots can be greatly improved, the urban traffic jam is reduced, the waste of parking resources and management cost can be avoided, improve the satisfaction of users is improved, so that the intelligent parking guidance and information system plays a positive role in the improvement of urban traffic conditions and the service level of parking lot industries.

35 citations

Book ChapterDOI
12 Dec 2005
TL;DR: This paper proposes an approach that leverages the knowledge of existing data center configurations, defines templates of provisioning specifications, and rules on how to fill these templates based on a SLA specification that is agnostic to the specific SLA language and provisioning specification format used, if based on XML.
Abstract: Service Level Agreements (SLAs) are a vital instrument in service-oriented architectures to reserve service capacity at a defined service quality level. Provisioning systems enable service managers to automatically configure resources such as servers, storage, and routers based on a configuration specification. Hence, agreement provisioning is a vital step in managing the life-cycle of agreement-driven services. Deriving detailed resource quantities from arbitrary SLA specifications is a difficult task and requires detailed models of algorithmic behavior of service implementations and capacity of a – potentially heterogeneous – resource environment, which are typically not available today. However, if we look at, e.g., data centers today, system administrators often know the quality-of-service properties of known system configurations and modifications thereof and can write the corresponding provisioning specifications. This paper proposes an approach that leverages the knowledge of existing data center configurations, defines templates of provisioning specifications, and rules on how to fill these templates based on a SLA specification. The approach is agnostic to the specific SLA language and provisioning specification format used, if based on XML.

35 citations

Journal ArticleDOI
TL;DR: This paper introduces a more realistic assumption-customers are assumed to wait a fixed amount of time before cancelling their orders, incorporated in the S-1, S inventory model, which is appropriate for slow-moving items.
Abstract: Existing models of inventory control assume that when a stockout occurs customers either wait as long as necessary or not at all for the replenishment to arrive. This paper introduces a more realistic assumption-customers are assumed to wait a fixed amount of time before cancelling their orders. The new assumption is incorporated in the S-1, S inventory model, which is appropriate for slow-moving items. Statistical and economic measures of performance for the model are developed on the basis of certain queuing results. We then use optimization techniques to derive a minimum-cost inventory policy with or without constraints on service levels. We also derive an optimal policy for trade-offs between inventory levels and replenishment rates and provide computational approaches.

35 citations

Posted Content
01 Jan 2016
TL;DR: Safety stock is inventory that is carried to prevent stock outs as mentioned in this paper, and it is used in inventory management to measure the performance of inventory policies and represents the probability of not being stock-out and not losing sales.
Abstract: There are many studies that emphasize as a first objective of inventory management to minimize the value invested in inventory because it has a direct impact on return on assets. This approach is not fully correct. The actual objective is to determine the value and the mix of inventory that support a high service level for customers and that maximizing the companiesi?½ financial performance. Many companies look at their own demand fluctuations and assume that there are too many variables to predict demand variability. Service level is used in inventory management to measure the performance of inventory policies and represents the probability of not being stock-out and not losing sales. Safety stock is inventory that is carried to prevent stock outs. Safety stock determinations are not intended to eliminate all stock outs, just majority of them. Companies choose to keep safety stock level high as a buffer against demand variability resulting in inefficiencies and high working capital requirements. Safety stock optimization enables companies to achieve savings and increase inventory turns.

35 citations

Proceedings ArticleDOI
21 Dec 2010
TL;DR: An aggregation model is formally defined to enable the automation of hierarchical aggregation of Service Level Agreements and leads to the discovery of various aggregation patterns in context with service composition and business collaboration.
Abstract: IT-based Service Markets require an enabling infrastructure to support Service Value Chains and service choreographies resulting from service composition scenarios. This will result into novel business models where services compose together hierarchically in a producer-consumer manner to form service chains of added value. Service Level Agreements (SLAs) are defined at various levels in such a hierarchy to ensure the expected quality of service for different stakeholders. Automation of service composition directly implies the aggregation of their corresponding SLAs. Aggregation of hierarchical SLAs leads to cross-enterprize business networks such as Virtual Enterprize Organizations (VEO), Extended Enterprizes and Value Networks. During the hierarchical aggregation of SLAs, certain SLA information pertaining to different stakeholders is meant to be restricted and can be only partially revealed to a subset of their business partners. Based on our notions of SLA Choreography and SLA-Views, we formally define an aggregation model to enable the automation of hierarchical aggregation of Service Level Agreements. The aggregation model leads to the discovery of various aggregation patterns in context with service composition and business collaboration.

35 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202321
202257
2021257
2020350
2019413
2018415