Dynamic Provisioning of Multi-tier Internet Applications

By Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra, P. Goyal. International Conference on Automation and Computing, 2005

369 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/d233e3c86af9cbd6b88e1d49be8e7c741c6ae478

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

Black-box and Gray-box Strategies for Virtual Machine Migration (2007, methodology): “Techniques for modeling and provisioning multi-tier Web services by allocating physical machines to each tier are presented in [ 23 ].”
Adaptive control of virtualized resources in utility computing environments (2007, background): “A recent study is described in [28] for dynamic provisioning of multitier web applications.”
Cloudward bound: planning for beneficial migration of enterprise applications to the cloud (2010, methodology): “A dynamic provisioning technique for such applications that employs a queuing model is presented in [27].”
Jockey: guaranteed job latency in data parallel clusters (2012, background): “First, unlike interactive web requests [23], data parallel jobs have complex internal structure with operations (e.”
Cloud auto-scaling with deadline and budget constraints (2010, background): “There have been a number works on dynamic resource provisioning in virtualized computing environment [9][10][12][4].”
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.”
A survey of autonomic computing—degrees, models, and applications (2008, background): “…2006; Wieselthier et al. 2002 Kephart and Chess 2003; Bantz et al. 2003; Ganek and Friedrich 2006; Melcher and Mitchell 2004; Kaiser et al. 2002;2003; Urgaonkar et al. 2005; Wildstrom et al. 2005; Handsen et al. 2006; Strowes et al. 2006; Huebscher and McCann 2005; Thomson et al. 2006…”
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].”
Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments (2010, background): “Earlier work mostly focuses on improving resource usage while maintaining application performance guarantees [12][23][35].”
Sandpiper: Black-box and gray-box resource management for virtual machines (2009, positive): “Applications such as web and database servers can be modeled as G/G/1 queuing systems [24].”
Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011, background): “The first category is dynamic resource provisioning in virtualized environments (e.g., [4] [11]).”
Cloud computing: state-of-the-art and research challenges (2010, methodology): “Application performance model can be constructed using various techniques, including Queuing theory [47], Control theory [28] and Statistical Machine Learning [7].”