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Resource Allocation for Autonomic Data Centers using Analytic Performance Models

M.N. Bennani, D.A. Menasce
Second International Conference on Autonomic Computing (ICAC'05)  
Paper Dynamic Resource Allocation Problem 3 1 M 1 N 1 N Data Center Prior Work • Diao, Y. et al.; "Using MIMO Feedback Control to Enforce Policies for Interrelated Metrics with Application  ...  Paper Overview • Dynamic Resource Allocation Problem • Prior Work • Problem Definition -Workloads -Performance Metrics -Utility Function • Controller Solution • Performance Model • Experimental  ... 
doi:10.1109/icac.2005.50 dblp:conf/icac/BennaniM05 fatcat:7j2l5obdpzgpxlaf4pwmpdpp3u

aMOSS: Automated Multi-objective Server Provisioning with Stress-Strain Curving

Palden Lama, Xiaobo Zhou
2011 2011 International Conference on Parallel Processing  
A modern data center built upon virtualized server clusters for hosting Internet applications has multiple correlated and conflicting objectives.  ...  allocation efficiency for a multi-tier Internet service. aMOSS provides a unique perspective to tackle the challenging autonomic server provisioning problem.  ...  The authors thank the NISSC for providing blade server equipments for conducting the experiments.  ... 
doi:10.1109/icpp.2011.30 dblp:conf/icpp/LamaZ11 fatcat:uhpbd6vhendvxkul2l6akcxlsq

Autonomic Cloud Computing: Open Challenges and Architectural Elements [article]

Rajkumar Buyya, Rodrigo N. Calheiros, Xiaorong Li
2012 arXiv   pre-print
In this direction, this paper identifies open issues in autonomic resource provisioning and presents innovative management techniques for supporting SaaS applications hosted on Clouds.  ...  They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient.  ...  We thank Deepak Poola and Nikolay Grozev for their comments on improving the paper.  ... 
arXiv:1209.3356v1 fatcat:mz5w7lvhbzb3rof6w2psls5fcq

Reliable capacity provisioning for distributed cloud/edge/fog computing applications

Per-Olov Ostberg, James Byrne, Paolo Casari, Philip Eardley, Antonio Fernandez Anta, Johan Forsman, John Kennedy, Thang Le Duc, Manuel Noya Marino, Radhika Loomba, Miguel Angel Lopez Pena, Jose Lopez Veiga (+7 others)
2017 2017 European Conference on Networks and Communications (EuCNC)  
useful performance models for service-based systems.  ...  the allocation of infrastructure resources throughout multiple data centers, through concertation between local data centers in the edge/fog and green data centers at remote geographical locations.  ... 
doi:10.1109/eucnc.2017.7980667 dblp:conf/eucnc/OstbergBCEAFKDM17 fatcat:6hmjvvp3fveqvi73my6djbnpeu

Software-Defined Multi-Cloud Computing: A Vision, Architectural Elements, and Future Directions [article]

Rajkumar Buyya, Jungmin Son
2018 arXiv   pre-print
of the resources in Cloud data centers.  ...  We also discuss open challenges and directions for creating auto-scaling solutions for performance optimization of VNFs using analytics and monitoring techniques, algorithms for SDN controller for scalable  ...  Adel Nadjaran Toosi for their contributions towards various ideas presented in this paper. This work is partially supported by an Australian Research Council (ARC) funded Discovery Project.  ... 
arXiv:1805.10780v1 fatcat:43qvxxtsavh2vfiywdgagkbrq4

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
The explosive growth of massive data generation from Internet of Things in industrial, agricultural and scientific communities has led to a rapid increase for data analytics in cloud data centers.  ...  Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed.  ...  data center is enough for data communication.  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Accelerating MapReduce Analytics Using CometCloud

Moustafa AbdelBaky, Hyunjoo Kim, Ivan Rodero, Manish Parashar
2012 2012 IEEE Fifth International Conference on Cloud Computing  
MapReduce-Hadoop has emerged as an effective framework for large-scale data analytics, providing support for executing jobs and storing data in a parallel and distributed manner.  ...  These resources can be selected from a hybrid infrastructure such as local clusters, data centers, and public clouds.  ...  Claus from Bristol-Myers Squibb for providing Protein Data Bank mining application and its application description.  ... 
doi:10.1109/cloud.2012.150 dblp:conf/IEEEcloud/AbdelBakyKRP12 fatcat:oxqjtykasbffxlhgjgniojb6me

Dynamic Resource Allocation in Computing Clouds Using Distributed Multiple Criteria Decision Analysis

Yagiz Onat Yazir, Chris Matthews, Roozbeh Farahbod, Stephen Neville, Adel Guitouni, Sudhakar Ganti, Yvonne Coady
2010 2010 IEEE 3rd International Conference on Cloud Computing  
machines in a data center.  ...  In this paper, we propose a new approach for dynamic autonomous resource management in computing clouds. The main contribution of this work is two-fold.  ...  [9] adopted this approach for non-virtualized data centers. They have also focused on performance modeling of AEs, leveraging forecasting methods based on different analytical models.  ... 
doi:10.1109/cloud.2010.66 dblp:conf/IEEEcloud/YazirMFNGGC10 fatcat:byfhrb5rizhkbd5ru36kewwliy

Self-Aware Software and Systems Engineering: A Vision and Research Roadmap

Samuel Kounev
2011 Softwaretechnik-Trends  
The models will be exploited at run-time to adapt the system to changes in the environment ensuring that resources are utilized efficiently and that QoS requirements are continuously satisfied.  ...  Our long-term goal is to develop a novel methodology for engineering of next generation self-aware IT systems and services.  ...  In [15] , we studied a SOA application running in a service-oriented Grid computing environment and showed how online performance models can be used at run-time for autonomic QoS-aware resource allocation  ... 
dblp:journals/stt/Kounev11 fatcat:hrb6rgxaibga3al3mpflkduyv4

Towards autonomic workload provisioning for enterprise Grids and clouds

Andres Quiroz, Hyunjoo Kim, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma
2009 2009 10th IEEE/ACM International Conference on Grid Computing  
It then presents a model-based approach for estimating application service time using long-term application performance monitoring, to provide feedback about the appropriateness of requested resources  ...  Specifically for high-performance computing workloads, the use of a quadratic response surface model (QRSM) is justified with respect to traditional models, demonstrating the need for application-specific  ...  For this approach, a broad range of analytical models and fitting techniques such as layered queuing models and regression time series can be used.  ... 
doi:10.1109/grid.2009.5353066 dblp:conf/grid/QuirozKPGS09 fatcat:7utd4wvidfhxzoct3ugn7eftzu

Machine Learning:The Panaceafor 5G Complexities

N. Hari Kumar, Sandhya Baskaran, Senior Researcher, Ericsson Research, India, Researcher, Ericsson Research, India
2019 Journal of ICT Standardization  
5G enables ultra-high data rates, exceptional low latencies which enables the telecom operator for the facilitation of interesting parallels like IoT and Next-Gen Industrial enhancements like autonomous  ...  Here in this paper, we discuss some of the major challenges such as data burst, improving performance, fault tolerance and traffic management with new components appended to the 5G system, required upgrades  ...  We are also grateful to Göran Eriksson AP for assistance with packet core who moderated this paper and, in that line, improved the manuscript significantly.  ... 
doi:10.13052/jicts2245-800x.726 fatcat:rdjn5mad4vgkhfoc6wq7ttapjq

Machine Learning:The Panaceafor 5G Complexities

N. Hari Kumar, Sandhya Baskaran
2019 Journal of ICT Standardization  
5G enables ultra-high data rates, exceptional low latencies which enables the telecom operator for the facilitation of interesting parallels like IoT and Next-Gen Industrial enhancements like autonomous  ...  Here in this paper, we discuss some of the major challenges such as data burst, improving performance, fault tolerance and traffic management with new components appended to the 5G system, required upgrades  ...  We are also grateful to Göran Eriksson AP for assistance with packet core who moderated this paper and, in that line, improved the manuscript significantly.  ... 
doi:10.13052/jicts2245-800x.7236 fatcat:52utyononvf5hnici3j4kymuwi

Federating Advanced Cyberinfrastructures with Autonomic Capabilities [chapter]

Javier Diaz-Montes, Ivan Rodero, Mengsong Zou, Manish Parashar
2014 Cloud Computing for Data-Intensive Applications  
In this chapter, we present a federation model to support the dynamic federation of resources and autonomic management mechanisms that coordinate multiple workflows to use resources based on objectives  ...  Clouds are also rapidly joining high performance computing system, clusters and grids as viable platforms for scientific exploration and discovery.  ...  In the former, we focused on autonomically balancing completion time and cost using federated resources including private data centers, grids and private clouds [34] .  ... 
doi:10.1007/978-1-4939-1905-5_9 fatcat:eyuo5q37enaofehsubefabd7ky

Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment

N. Krishnaveni
2013 International Journal of Computer Applications Technology and Research  
In this paper, we present the several dynamic resource allocation techniques and its performance.  ...  This is an on demand service because it offers dynamic flexible resource allocation and guaranteed services in pay as-you-use manner to public.  ...  Dynamic resource allocation for parallel data processing: This technique used to allocate and deallocate the resources from a cloud during job execution.  ... 
doi:10.7753/ijcatr0206.1019 fatcat:ekhlsdspxbdbhlwhbkampq5t4y

A Self-adaptive Agent-based System for Cloud Platforms

Merzoug Soltane, Yudith Cardinale, Rafael Angarita, Philippe Rosse, Marta Rukoz, Derdour Makhlouf, Kazar Okba
2018 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)  
resources in Cloud data centers.  ...  The data center implemented for this Cloud runs five heterogeneous servers.  ... 
doi:10.1109/pais.2018.8598507 dblp:conf/pais/SoltaneCARRMK18 fatcat:4omofiyxj5buxh7q2k22nynmda
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