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Challenges, strategies and metrics for supply-driven enterprises

Paul Manuel, Helal Al-Hamadi, Kalim Qureshi
2013 Annals of Operations Research  
Even though public cloud is an optimal model from the perspective of resource management, this paper states that community cloud is the most suitable model for supply-driven enterprises from the perspective  ...  We conduct simulation experiments and demonstrate that community cloud is the optimal model to supply-driven enterprises.  ...  Enterprise IT only scales up and does not scale down. Cloud technology provides an elastic system for optimal resource management [4, 10, 14, 20] .  ... 
doi:10.1007/s10479-013-1346-z fatcat:cwb2svox2zbfxi2sek67osvzea

Theme section on performance modelling and engineering of software and systems

Catalina M. Lladó, Kai Sachs
2017 Journal of Software and Systems Modeling  
Containers are automatically deployed, scaled and operated by orchestration middleware, IaaS is re-arranging their resources dynamically, and several independent services might compete for the same resources  ...  In a world full of software systems composed of huge number of microservices running on cloud infrastructures, a single service is less important than in the traditional system architectures.  ...  We are also thankful to the reviewers for their detailed reviews which in many cases evolve to substantial improvements.  ... 
doi:10.1007/s10270-017-0624-7 fatcat:fgnvlvncwzamni5onyu6gi7bqq

Model-driven Automated Deployment of Large-scale CPS Co-simulations in the Cloud

Yogesh D. Barve, Himanshu Neema, Aniruddha S. Gokhale, Janos Sztipanovits
2017 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems  
deploy co-simulations in the cloud.  ...  In this context, the key challenges include (i) rapid provisioning and de-provisioning of experimental resources in the cloud for different co-simulation workloads, (ii) simulating incompatibility and  ...  ACKNOWLEDGMENTS This work is supported in part by NIST contract number 70NANB15H312, NSF CPS VO contract number CNS-1521617 and NSF US Ignite CNS 1531079.  ... 
dblp:conf/models/BarveNGS17 fatcat:ndanhiensrekhaeqmqs3oho7em

Model-driven auto-scaling of green cloud computing infrastructure

Brian Dougherty, Jules White, Douglas C. Schmidt
2012 Future generations computer systems  
The paper provides four contributions to the study of model-driven configuration of cloud auto-scaling infrastructure by (1) explaining how virtual machine configurations can be captured in feature models  ...  This paper presents a model-driven engineering approach to optimizing the configuration, energy consumption, and operating cost of cloud auto-scaling infrastructure to create greener computing enviornments  ...  This paper presents a model-driven engineering (MDE) approach called the Smart Cloud Optimization for Resource Configuration Handling (SCORCH).  ... 
doi:10.1016/j.future.2011.05.009 fatcat:sjgglkomcbg7fe2ewvcv66ibjm

Challenges and Research Directions in Big Data-driven Cloud Adaptivity

Andreas Tsagkaropoulos, Nikos Papageorgiou, Dimitris Apostolou, Yiannis Verginadis, Gregoris Mentzas
2018 Proceedings of the 8th International Conference on Cloud Computing and Services Science  
We also describe research directions for realising adaptivity in cloud computing and we present a conceptual framework that represents research directions and shows interrelations.  ...  This paper surveys recent research efforts on advancing cloud computing virtual infrastructures and real-time big data technologies in order to provide dynamically scalable and distributed architectures  ...  ACKNOWLEDGEMENTS This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339).  ... 
doi:10.5220/0006761901900200 dblp:conf/closer/TsagkaropoulosP18 fatcat:5w2kbdda7fdajgn265jzqrfo4y

InfraComposer: Policy-driven Adaptive and Reflective Middleware for the Cloudification of Simulation & Optimization Workflows

Emad Heydari Beni, Bert Lagaisse, Wouter Joosen
2019 Journal of systems architecture  
One needs to automate the deployment, as well as support smart scaling and execution of simulation and optimization workflows in the cloud.  ...  In this paper, we present a policy-driven adaptive and reflective middleware that supports smart cloud-based deployment and execution of engineering workflows.  ...  Resource reflection results in a meta-model of the underpinning cloud infrastructure resources and domain resources (see Fig. 6 ).  ... 
doi:10.1016/j.sysarc.2019.03.001 fatcat:bwclhazvhfagzenn5shl2abexy

Characterizing web application performance for maximizing service providers' profits in clouds

Xi Chen, Haopeng Chen, Qing Zheng, Wenting Wang, Guodong Liu
2011 2011 International Conference on Cloud and Service Computing  
In order to achieve high profits, cloud-based web application providers must carefully balance cloud resources and dynamic workloads.  ...  Furthermore, we employed profit driven model to guide our resource management algorithms to maximize the profits earned to the service providers.  ...  INTRODUCTION As a new computational model, cloud computing [1] [2] is a large-scale distributed computing paradigm that is driven by economies of scaling, in which a pool of virtualized, dynamically-scalable  ... 
doi:10.1109/csc.2011.6138519 dblp:conf/IEEEcsc/ChenCZWL11 fatcat:k56acaebmfcgba5gdqizpuz7p4

Distributed Meta-Brokering P2P Overlay for Scheduling in Cloud Federation

Sajid Latif, Syed Mushhad Gilani, Rana Liaqat Ali, Misbah Liaqat, Kwang-Man Ko
2019 Electronics  
Large-scale distributed resources require well-coordinated and automated frameworks to facilitate service provision in a seamless and systematic manner.  ...  However, the research of Intercloud resource management is in its infancy.  ...  The Intercloud Resource-Provision System (IRPS) proposed by [32, 33] is a semantically driven ontological model that facilitates application resource provision to distinct clouds.  ... 
doi:10.3390/electronics8080852 fatcat:nrpjwgpbxjfyzkaixwahkpafyy

InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services [chapter]

Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
2010 Lecture Notes in Computer Science  
The proposed InterCloud environment supports scaling of applications across multiple vendor clouds.  ...  Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world.  ...  We acknowledge all members of Melbourne CLOUDS Lab (especially William Voorsluys) for their contributions to InterCloud investigation.  ... 
doi:10.1007/978-3-642-13119-6_2 fatcat:zez423zfjrfxxnx6a42dfb3sem

Challenges And Research Directions In Big Data-Driven Cloud Adaptivity

Andreas Tsagkaropoulos, Nikos Papageorgiou, Dimitris Apostolou, Yiannis Verginadis, Gregoris Mentzas
2018 Zenodo  
We also describe research directions for realising adaptivity in cloud computing and we present a conceptual framework that represents research directions and shows interrelations.  ...  This paper surveys recent research efforts on advancing cloud computing virtual infrastructures and real-time big data technologies in order to provide dynamically scalable and distributed architectures  ...  ACKNOWLEDGEMENTS This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339).  ... 
doi:10.5281/zenodo.1309530 fatcat:si3drvyewjfmbom5jnpevo3u7y

Towards Model Driven Verifiable Deployment of Distributed Simulations in Cloud

Yogesh D. Barve
2017 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems  
To address these gaps, this research proposes Model Driven Verifiable Distributed Simulations in Cloud (MoViDiX).  ...  Leveraging Models@Runtime principles, dynamic resource management for effective simulations for deadline aware execution is proposed.  ...  ACKNOWLEDGMENTS This work is supported in part by NIST contract number 70NANB15H312, NSF CPS VO contract number CNS-1521617 and NSF US Ignite CNS 1531079.  ... 
dblp:conf/models/Barve17 fatcat:tz5tnsnesng2jhxjvnr5qkimyq

Guest Editors' Introduction: Special Issue on Economics and Market Mechanisms for Cloud Computing

Bharadwaj Veeravalli, Bingsheng He
2015 IEEE Transactions on Cloud Computing  
Mashayekhy et al. proposed a design approach for physical machine resource management. Toosi et al. attempts to maximize the revenue of cloud provider with optimal capacity control.  ...  In addition, pricing models, trust and security based research are added issues to be addressed.  ...  Mashayekhy et al. proposed a design approach for physical machine resource management. Toosi et al. attempts to maximize the revenue of cloud provider with optimal capacity control.  ... 
doi:10.1109/tcc.2015.2464411 fatcat:nfvzd636sndszmr5amhirqy7uy

Model-driven provisioning of application services in hybrid computing environments

Rajiv Ranjan, Rajkumar Buyya, Surya Nepal
2013 Future generations computer systems  
Editorial Model-driven provisioning of application services in hybrid computing environments ✩ Surya Nepal is a Principal Research Scientist at CSIRO ICT Centre, Australia.  ...  , cloud computing and social networks.  ...  These challenges [8] include optimized cloud resource selection, configuration, deployment, monitoring, and control.  ... 
doi:10.1016/j.future.2013.01.007 fatcat:bbhqjxdbcjclbphqb4wsja45q4

A business driven cloud optimization architecture

Marin Litoiu, Murray Woodside, Johnny Wong, Joanna Ng, Gabriel Iszlai
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
In this paper, we discuss several facets of optimization in cloud computing, the corresponding challenges and propose an architecture for addressing those challenges.  ...  The architecture takes into account different stakeholders in the cloud (infrastructure providers, platform providers, application providers and end users).  ...  The work that motivated this paper started with the premise that a cloud is driven by business and automation goals. We describe the CERAS cloud[3] architecture for goals optimization.  ... 
doi:10.1145/1774088.1774170 dblp:conf/sac/LitoiuWWNI10 fatcat:d7mknnwo5behnjrexxsnsavo6m

Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker

Ali Yadav Nikravesh, Samuel A. Ajila, Chung-Horng Lung
2018 Journal of Cloud Computing: Advances, Systems and Applications  
In a cloud computing environment there are two types of cost associated with the auto-scaling systems: resource cost and Service Level Agreement (SLA) violation cost.  ...  However, the existing auto-scaling systems neglect the cloud client's cost preferences in minimizing the total auto-scaling cost.  ...  Therefore, this paper proposes a genetic algorithm model to find an optimal solution within the search space in a shorter time.  ... 
doi:10.1186/s13677-018-0122-7 fatcat:ziizmsgihneo5bxd6z5sk7vo7e
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