Topic
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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TL;DR: A stochastic mathematical formulation for designing a network of multi-product supply chains comprising several capacitated production facilities, distribution centres and retailers in markets under uncertainty and incorporates the cut-set concept in reliability theory and also the robust optimisation concept is developed.
382 citations
IBM1
TL;DR: Oceano is a prototype of a highly available, scaleable, and manageable infrastructure for an e-business computing utility that enables multiple customers to be hosted on a collection of sequentially shared resources.
Abstract: Oceano is a prototype of a highly available, scaleable, and manageable infrastructure for an e-business computing utility. It enables multiple customers to be hosted on a collection of sequentially shared resources. The hosting environment is divided into secure domains, each supporting one customer. These domains are dynamic: the resources assigned to them may be augmented when the load increases and reduced when load dips. This dynamic resource allocation enables flexible service level agreements (SLAs) with customers in an environment where peak loads are an order of magnitude greater than the normal steady state.
377 citations
23 May 2011
TL;DR: This paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations, designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines.
Abstract: Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and infrastructure level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.
375 citations
IBM1
TL;DR: A framework for providing customers of Web services differentiated levels of service through the use of automated management and service level agreements (SLAs) is described, which was implemented as the utility computing services part of the IBM Emerging Technologies Tool Kit, which is publicly available on the IBM alphaWorksTM Web site.
Abstract: In this paper we describe a framework for providing customers of Web services differentiated levels of service through the use of automated management and service level agreements (SLAs). The framework comprises the Web Service Level Agreement (WSLA) language, designed to specify SLAs in a flexible and individualized way, a system to provision resources based on service level objectives, a workload management system that prioritizes requests according to the associated SLAs, and a system to monitor compliance with the SLA. This framework was implemented as the utility computing services part of the IBM Emerging Technologies Tool Kit, which is publicly available on the IBM alphaWorksTM Web site.
334 citations
TL;DR: In this article, the authors developed a price-service competition model of two supply chains to investigate the optimal decisions of players under demand uncertainty, and analyzed the effects of the retailers' risk sensitivity on the players' optimal strategies.
322 citations