Journal ArticleDOI
Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems
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TLDR
A distributed solution which integrates workload prediction and distributed non-linear optimization techniques to minimize the costs of allocated resources in terms of virtual machines, while guaranteeing SLA constraints expressed as a threshold on the average response time is proposed.About:
This article is published in Journal of Parallel and Distributed Computing.The article was published on 2012-06-01. It has received 85 citations till now. The article focuses on the topics: Cloud computing & Offered load.read more
Citations
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Journal ArticleDOI
Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters
TL;DR: The workload prediction model is developed using long short term memory (LSTM) networks and achieved high accuracy in predictions by reducing the mean squared error up to 3.17 x 10-3.3.
Journal ArticleDOI
Quality-of-service in cloud computing: modeling techniques and their applications
TL;DR: A survey of the state of the art of QoS modeling approaches suitable for cloud systems is provided, which review and classify their early application to some decision-making problems arising in cloud QoS management.
Journal ArticleDOI
Workload prediction in cloud using artificial neural network and adaptive differential evolution
TL;DR: A workload prediction model using neural network and self adaptive differential evolution algorithm that outperforms well known back propagation network approach in accuracy and is able to achieve significant reduction in the prediction error.
Journal ArticleDOI
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems
TL;DR: This paper model the service provisioning problem as a generalized Nash game and shows the existence of equilibria for such game, and proposes and proves two solution methods based on the best-reply dynamics that can improve the efficiency of the cloud system evaluated in terms of Price of Anarchy.
Journal ArticleDOI
Resource management in cloud computing
TL;DR: This study presents a comprehensive review of RM techniques and elaborates their extensive taxonomy based on the distinct features, and highlights evaluation parameters and platforms that are used to evaluate RM techniques.
References
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Journal ArticleDOI
A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Journal Article
Above the Clouds: A Berkeley View of Cloud Computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
Proceedings Article
Hypertext Transfer Protocol -- HTTP/1.1
Roy T. Fielding,James Gettys,Jeffrey C. Mogul,H. Frystyk,Larry Masinter,Paul J. Leach,Tim Berners-Lee +6 more
TL;DR: The Hypertext Transfer Protocol is an application-level protocol for distributed, collaborative, hypermedia information systems, which can be used for many tasks beyond its use for hypertext through extension of its request methods, error codes and headers.
Book
AMPL: A Modeling Language for Mathematical Programming
Robert Fourer,Brian W. Kernighan +1 more
TL;DR: An efficient translator is implemented that takes as input a linear AMPL model and associated data, and produces output suitable for standard linear programming optimizers.
Journal ArticleDOI
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
TL;DR: An SQP algorithm that uses a smooth augmented Lagrangian merit function and makes explicit provision for infeasibility in the original problem and the QP subproblems is discussed.