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Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model

Xing Chen, Junxin Lin, Yun Ma, Bing Lin, Haijiang Wang, Gang Huang
2019 Science China Information Sciences  
Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model. Sci China Inf Sci, 2019, 62(11): 219101, https://doi.  ...  Second, we use genetic algorithm (GA) to search for the new objective resource allocation plan based on the progressive QoS prediction model.  ...  Prediction of web goodput using nonlinear autoregressive models.  ... 
doi:10.1007/s11432-018-9750-2 fatcat:lmckf76dova6hmlxqy77ol25gu

A Survey of Quality of Service in Multi-tier Web Applications

2016 KSII Transactions on Internet and Information Systems  
Recently, a number of rule-and model-based approaches have been designed for dynamic resource management in virtualized data centers.  ...  When offering quality of service assurance with least resource usage costs, web service providers should adopt self-adaptive resource provisioning in each tier.  ...  Furthermore, the genetic algorithm uses the push function and energy efficiency to measure the fitness of the generation.  ... 
doi:10.3837/tiis.2016.01.014 fatcat:olcm4bcazjh7havualoqbzcaga

On Implementing Autonomic Systems with a Serverless Computing Approach: The Case of Self-Partitioning Cloud Caches

Edwin F. Boza, Xavier Andrade, Jorge Cedeno, Jorge Murillo, Harold Aragon, Cristina L. Abad, Andres G. Abad
2020 Computers  
To illustrate that our approach is feasible and useful, we implement SPREDS (Self-Partitioning REDiS), a modified version of Redis that optimizes memory management in the multi-instance Redis scenario.  ...  We show that serverless computing cloud services can be leveraged to solve the complex optimization problems that arise during self-tuning loops and can be used to optimize cloud caches for free.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/computers9010014 fatcat:mnmunvinffbfhbrw3mnkp4ds5m

Policies, grids and autonomic computing

Bradley Simmons, Hanan Lutfiyya
2005 Software engineering notes  
It describes the current and proposed work in applying policies to resource management in the context of autonomic and grid computing systems.  ...  The goals of resource management fall within the overall aims of autonomic and grid computing, namely the sharing of resources automatically, and the allocation of resources depending on both application  ...  The design of algorithms will rely on whether or not resource re-allocation is considered in regular intervals or is dynamic as the result of too many violations of service-level objectives.  ... 
doi:10.1145/1082983.1083081 fatcat:ofy2hml6dvcbvpcilzvyie2cyy

Policies, grids and autonomic computing

Bradley Simmons, Hanan Lutfiyya
2005 Proceedings of the 2005 workshop on Design and evolution of autonomic application software - DEAS '05  
It describes the current and proposed work in applying policies to resource management in the context of autonomic and grid computing systems.  ...  The goals of resource management fall within the overall aims of autonomic and grid computing, namely the sharing of resources automatically, and the allocation of resources depending on both application  ...  The design of algorithms will rely on whether or not resource re-allocation is considered in regular intervals or is dynamic as the result of too many violations of service-level objectives.  ... 
doi:10.1145/1083063.1083081 fatcat:f6jtwkp4sja67kz2zydau2shhu

Self-tuning systems

D.G. Feitelson, M. Naaman
1999 IEEE Software  
The simulations are driven by log les containing information about the local workload, and genetic algorithms are used to search for the optimal parameter values.  ...  Modern operating systems are highly parameterized, allowing system administrators to tune them in order to achieve optimal performance for the local workload.  ...  Acknowledgements Thanks to Bill Nitzberg for providing the NASA Ames iPSC workload log, and to Reagan Moore of SDSC for introducing us to the iPSC batch scheduling algorithm.  ... 
doi:10.1109/52.754053 fatcat:lgmvrk5pbrbgde3dp4rvs4hd24

Coordinated VM Resizing and Server Tuning: Throughput, Power Efficiency and Scalability

Yanfei Guo, Xiaobo Zhou
2012 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems  
In this paper, we propose and develop GARL, a genetic algorithm with multi-agent reinforcement learning approach for coordinated VM resizing and server tuning.  ...  They are challenging due to complexities of hosted Internet applications, high dynamics in workloads and the shared virtualized infrastructure.  ...  Acknowledgement This research was supported in part by U.S. National Science Foundation CAREER Award CNS-0844983.  ... 
doi:10.1109/mascots.2012.41 dblp:conf/mascots/GuoZ12 fatcat:33mv3o4yyzadvgpqlntejp77ze

V-Cache: Towards Flexible Resource Provisioning for Multi-tier Applications in IaaS Clouds

Yanfei Guo, Palden Lama, Jia Rao, Xiaobo Zhou
2013 2013 IEEE 27th International Symposium on Parallel and Distributed Processing  
It uses a genetic algorithm to identify the incoming requests that benefit most from caching and dynamically resizes the cache space to accommodate these requests.  ...  V-Cache transparently places a caching proxy in front of the application.  ...  Acknowledgement This research was supported in part by U.S. NSF CAREER Award CNS-0844983 and research grant CNS-1217979.  ... 
doi:10.1109/ipdps.2013.12 dblp:conf/ipps/GuoLRZ13 fatcat:j7zubxj5uve6jamdwn3zgds4hq

IJIMAI Editor's Note - Vol. 2 Issue 6

Enrique Herrera-Viedma
2014 International Journal of Interactive Multimedia and Artificial Intelligence  
Then, in the second stage, the search capabilities of the genetic algorithm were used to assign the Ezafe tag to untagged tokens using the previously captured training information.  ...  Celia Gutiérrez proposes a work based on an algorithm where each objective (resource allocation, start-time assignment) is solved by a genetic algorithm (GA) that optimizes a particular fitness function  ... 
doi:10.9781/ijimai.2014.260 fatcat:ik3lehj77nf5xhrkkvbwal7qou

Author index

2013 20th Annual International Conference on High Performance Computing  
Components in Dynamic Graphs Gupta, Neelima Algorithms for the Relaxed Multiple-Organization Multiple-Machine Scheduling Problem Gupta, Sandeep Effects of Phase Imbalance on Data Center Energy Management  ...  Algorithms for Energy Minimization in Cloud Service Allocation under Reliability Constraints Rodero, Ivan Exploring Energy and Performance Behaviors of Data-Intensive Scientific Workflows on Systems with  ... 
doi:10.1109/hipc.2013.6799145 fatcat:jnmign7535ep5jvhn65xp4aqqe

Auto-scaling Web Applications in Clouds: A Taxonomy and Survey [article]

Chenhao Qu, Rodrigo N. Calheiros, Rajkumar Buyya
2017 arXiv   pre-print
Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity.  ...  In this paper, we comprehensively analyze the challenges that remain in auto-scaling web applications in clouds and review the developments in this field.  ...  Yaser Mansouri, Xunyun Liu, Minxian Xu, and Bowen Zhou for their valuable comments and suggestions in improving the quality of the paper.  ... 
arXiv:1609.09224v6 fatcat:dkk2ftpvpbcnvhcmc6lz2omwa4

A survey: algorithms simulating bee swarm intelligence

Dervis Karaboga, Bahriye Akay
2009 Artificial Intelligence Review  
This work presents a survey of the algorithms described based on the intelligence in bee swarms and their applications. SH (2003) Queen-bee evolution for genetic algorithms.  ...  In: International conference on multivariate statistical modelling and high dimensional data mining, Kayseri, Turkey Karci A (2004) Imitation of bee reproduction as a crossover operator in genetic algorithms  ...  Dynamic server allocation in internet hosting centers Nakrani and Tovey (2004b) Honey bee algorithm Autonomic server orchestration in internet hosting centers (2003) Data mining Benatchba et al.  ... 
doi:10.1007/s10462-009-9127-4 fatcat:lk3bhpg4lngrvbcuc2z7uooaue

Table of Contents

2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
of Financial Ratios for Fraud Detection Using Self Organising Maps Wilson Tsakane Mongwe and Katherine Mary Malan .......... 1100 A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility  ...  of inhibitory neurons in the C. elegans connectome facilitates self-optimization of coordinated Adaptive Data Replication Optimization Based on Reinforcement Learning Chee Keong Wee and Richi Nayak ...  ... 
doi:10.1109/ssci47803.2020.9308155 fatcat:hyargfnk4vevpnooatlovxm4li

Control Systems application in Java based Enterprise and Cloud Environments – A Survey

Ravi Kumar, Dr. Chelliah, Dr.A.Vinaya Babu
2011 International Journal of Advanced Computer Science and Applications  
We observe that majority of the control system applications are in Web and Application Server environments.  ...  For more than a decade there is active research in exploring feedback control systems applications in computing and some of the results are applied to the commercial software products.  ...  It is widely used in self-tuning of the system to be controlled.  Stochastic: Stochastic control is used when there is uncertainty in the data.  ... 
doi:10.14569/ijacsa.2011.020820 fatcat:udkt4x3rprgtllms5xmpd6b75i

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

Palden Lama, Xiaobo Zhou
2011 2011 International Conference on Parallel Processing  
First, we formulate a multi-objective optimization problem that is to minimize the number of physical machines used, the average response time and the total number of virtual servers allocated for multi-tier  ...  Furthermore, choosing weights statically may not be effective in the face of highly dynamic workloads.  ...  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
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