An analytical model for multi-tier internet services and its applications

By Bhuvan Urgaonkar, G. Pacifici, P. Shenoy, M. Spreitzer, A. Tantawi. Measurement and Modeling of Computer Systems, 2005

653 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/ff3a7aed8d1b9f5dbb065a78e64cb210e7f987af

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

On the use of hybrid reinforcement learning for autonomic resource allocation (2007, background): “For example, queuing network models of multi-tier internet services have only recently been published [6].”
Pocket: Elastic Ephemeral Storage for Serverless Analytics (2018, background): “Elastic resource scaling: Various reactive [34], predictive [25, 50, 65, 30, 62, 72, 75] and hybrid [24, 41, 33, 60] approaches have been proposed to automatically scale resources based on demand [64, 61].”
Agile dynamic provisioning of multi-tier Internet applications (2008, methodology): “In complementary research some of the coauthors have explored enhancements to the model to incorporate the presence of load imbalances [Urgaonkar et al. 2005].”
CloudScale: elastic resource scaling for multi-tenant cloud systems (2011, methodology): “CloudScale runs within each host in the cloud system, and is complementary to the resource allocation scheme that handles coarsegrained replicated server capacity scaling [30, 38, 9].”
Workload Analysis and Demand Prediction of Enterprise Data Center Applications (2007, neutral): “Queueing models may be used to relate desired mean response times for model specific workload classes [14], [15], [16] (e.”
Adaptive resource provisioning for read intensive multi-tier applications in the cloud (2011, methodology): “[16] presents an analytical model using queuing networks to capture the behavior of each tier.”
A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications (2007, methodology): “Currently, Qi Zhang is employed by MicroSoft and can be reached at the following address: qizha@microsoft.com. of classic analytic techniques for performance prediction that are based on simplified queueing networks [16], [17], [15].”
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation (2006, background): “For example, queuing network models of multi-tier internet services have only recently been published in [4].”
Resource Management in Clouds: Survey and Research Challenges (2015, background): “[219], who also propose a queuing network model, but do so for multi-tier applications where individual queues represent different tiers, and the effects of session-based workloads, concurrency limits, and caching are modeled.”
Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis (2021, background): “Existing works also adopt Markov Chain to simulate call dependencies between different online services [14, 20, 34].”
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems (2008, background): “Resource provisioning or placement of applications on a set of physical servers to optimize the application Service Level Agreements (SLA) is a well studied problem [24, 6].”
Workload characterization and prediction in the cloud: A multiple time series approach (2012, background): “For instance, theoretical models [9], [3] have been developed to generate representative workload traces.”