Scientific Application Performance on HPC, Private and Public Cloud Resources: A Case Study Using Climate, Cardiac Model Codes and the NPB Benchmark Suite

2012 ◽  
Author(s):  
Peter E. Strazdins ◽  
Jie Cai ◽  
Muhammad Atif ◽  
Joseph Antony
Keyword(s):  
Public Cloud ◽  
Scientific Application ◽  
Application Performance ◽  
Cardiac Model ◽  
Private And Public ◽  
Benchmark Suite ◽  
Cloud Resources

Communication Aspects of Resource Management in Hybrid Clouds

2015 ◽  
pp. 1827-1851
Author(s):  
Luiz F. Bittencourt ◽  
Edmundo R. M. Madeira ◽  
Nelson L. S. da Fonseca
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Resource Management ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Hybrid Clouds ◽  
Cloud Management ◽  
Private And Public ◽  
Cloud Resources

Organizations owning a datacenter and leasing resources from public clouds need to efficiently manage this heterogeneous infrastructure. In order to do that, automatic management of processing, storage, and networking is desirable to support the use of both private and public cloud resources at the same time, composing the so-called hybrid cloud. In this chapter, the authors introduce the hybrid cloud concept and several management components needed to manage this infrastructure. They depict the network as a fundamental component to provide quality of service, discussing its influence in the hybrid cloud management and resource allocation. Moreover, the authors present the uncertainty in the network channels as a problem to be tackled to avoid application delays and unexpected costs from the leasing of public cloud resources. Challenging issues in the hybrid cloud management is the last topic of this chapter before the concluding remarks.

Communication Aspects of Resource Management in Hybrid Clouds

2013 ◽  
pp. 409-433
Author(s):  
Luiz F. Bittencourt ◽  
Edmundo R. M. Madeira ◽  
Nelson L. S. da Fonseca
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Resource Management ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Hybrid Clouds ◽  
Cloud Management ◽  
Private And Public ◽  
Cloud Resources

Organizations owning a datacenter and leasing resources from public clouds need to efficiently manage this heterogeneous infrastructure. In order to do that, automatic management of processing, storage, and networking is desirable to support the use of both private and public cloud resources at the same time, composing the so-called hybrid cloud. In this chapter, the authors introduce the hybrid cloud concept and several management components needed to manage this infrastructure. They depict the network as a fundamental component to provide quality of service, discussing its influence in the hybrid cloud management and resource allocation. Moreover, the authors present the uncertainty in the network channels as a problem to be tackled to avoid application delays and unexpected costs from the leasing of public cloud resources. Challenging issues in the hybrid cloud management is the last topic of this chapter before the concluding remarks.

Custom templates based heterogeneous resource allocation for data-intensive applications

2020 ◽  
Author(s):  
◽  
Ronny Bazan Antequera
Keyword(s):  
High Performance ◽  
Real Data ◽  
University Of Missouri ◽  
Application Performance ◽  
Data Intensive ◽  
Edge Based ◽  
The Right ◽  
Heterogeneous Cloud ◽  
Data Intensive Applications ◽  
Cloud Resources

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT REQUEST OF AUTHOR.] The increase of data-intensive applications in science and engineering fields (i.e., bioinformatics, cybermanufacturing) demand the use of high-performance computing resources. However, data-intensive applications' local resources usually present limited capacity and availability due to sizable upfront costs. Moreover, using remote public resources presents constraints at the private edge network domain. Specifically, mis-configured network policies cause bottlenecks due to the other application cross-traffic attempting to use shared networking resources. Additionally, selecting the right remote resources can be cumbersome especially for those users who are interested in the application execution considering nonfunctional requirements such as performance, security and cost. The data-intensive applications have recurrent deployments and similar infrastructure requirements that can be addressed by creating templates. In this thesis, we handle applications requirements through intelligent resource 'abstractions' coupled with 'reusable' approaches that save time and effort in deploying new cloud architectures. Specifically, we design a novel custom template middleware that can retrieve blue prints of resource configuration, technical/policy information, and benchmarks of workflow performance to facilitate repeatable/reusable resource composition. The middleware considers hybrid-recommendation methodology (Online and offline recommendation) to leverage a catalog to rapidly check custom template solution correctness before/during resource consumption. Further, it prescribes application adaptations by fostering effective social interactions during the application's scaling stages. Based on the above approach, we organize the thesis contributions under two main thrusts: (i) Custom Templates for Cloud Networking for Data-intensive Applications: This involves scheduling transit selection, engineering at the campus-edge based upon real-time policy control. Our solution ensures prioritized application performance delivery for multi-tenant traffic profiles from a diverse set of actual data intensive applications in bioinformatics. (ii) Custom Templates for Cloud Computing for Data-intensive Applications: This involves recommending cloud resources for data-intensive applications based on a custom template catalog. We develop a novel expert system approach that is implemented as a middleware to abstracts data-intensive application requirements for custom templates composition. We uniquely consider heterogeneous cloud resources selection for the deployment of cloud architectures for real data-intensive applications in cybermanufacturing.

scholarly journals Exploring the Capacity of a Modern SMT Architecture to Deliver High Scientific Application Performance

2006 ◽  
pp. 180-189
Author(s):  
Evangelia Athanasaki ◽  
Nikos Anastopoulos ◽  
Kornilios Kourtis ◽  
Nectarios Koziris
Keyword(s):  
Scientific Application ◽  
Application Performance

Role of acquisition intervals in private and public cloud storage costs

2014 ◽  
Vol 57 ◽  
pp. 320-330 ◽  
Author(s):  
Gabriella Laatikainen ◽  
Oleksiy Mazhelis ◽  
Pasi Tyrväinen
Keyword(s):  
Cloud Storage ◽  
Public Cloud ◽  
Private And Public

scholarly journals Evaluating performances of simplified physically based models for landslide susceptibility

2015 ◽  
Vol 12 (12) ◽  
pp. 13217-13256 ◽  
Author(s):  
G. Formetta ◽  
G. Capparelli ◽  
P. Versace
Keyword(s):  
Landslide Susceptibility ◽  
Goodness Of Fit ◽  
Shallow Landslides ◽  
Model Parameters ◽  
Test Case ◽  
Susceptibility Analysis ◽  
Physically Based ◽  
Private And Public ◽  
Physically Based Models

Abstract. Rainfall induced shallow landslides cause loss of life and significant damages involving private and public properties, transportation system, etc. Prediction of shallow landslides susceptible locations is a complex task that involves many disciplines: hydrology, geotechnical science, geomorphology, and statistics. Usually to accomplish this task two main approaches are used: statistical or physically based model. Reliable models' applications involve: automatic parameters calibration, objective quantification of the quality of susceptibility maps, model sensitivity analysis. This paper presents a methodology to systemically and objectively calibrate, verify and compare different models and different models performances indicators in order to individuate and eventually select the models whose behaviors are more reliable for a certain case study. The procedure was implemented in package of models for landslide susceptibility analysis and integrated in the NewAge-JGrass hydrological model. The package includes three simplified physically based models for landslides susceptibility analysis (M1, M2, and M3) and a component for models verifications. It computes eight goodness of fit indices by comparing pixel-by-pixel model results and measurements data. Moreover, the package integration in NewAge-JGrass allows the use of other components such as geographic information system tools to manage inputs-output processes, and automatic calibration algorithms to estimate model parameters. The system was applied for a case study in Calabria (Italy) along the Salerno-Reggio Calabria highway, between Cosenza and Altilia municipality. The analysis provided that among all the optimized indices and all the three models, the optimization of the index distance to perfect classification in the receiver operating characteristic plane (D2PC) coupled with model M3 is the best modeling solution for our test case.

scholarly journals Cybersecurity Threat Modelling: A Case Study of An Ecommerce Platform Migration to the Public Cloud

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Bamidele Ola ◽  
Iyobor Egho-Promise
Keyword(s):  
Information Technology ◽  
Public Cloud ◽  
The Public ◽  
Goods And Services ◽  
It Systems ◽  
The World ◽  
Modelling Techniques ◽  
Security Concerns ◽  
Threat Modelling

The emergence of ecommerce almost three decades ago has completely transformed the approach to purchasing goods and services across various countries in the world. Almost every country in the globe, now have some form of ecommerce operations, this has further been enhanced by the stay at home COVID-19 induced lockdowns. The value and volume of transactions has also increased in transactions. However, there has been security concerns impacting ecommerce operations, which has in part, led to increasing adoption of hosting ecommerce systems in the public cloud. Threat modelling offer mechanisms to enhance the security of information technology (IT) systems. In this paper, we apply different threat modelling techniques to decompose the migration of an on-premise hosted ecommerce system to the public cloud and also evaluate these threat modelling techniques.

scholarly journals The evolution and evaluation of an online role play through design-based research

2016 ◽  
Author(s):  
Elizabeth Ann Beckmann ◽  
Sango Mahanty
Keyword(s):  
Indigenous Peoples ◽  
Role Play ◽  
Learning Experiences ◽  
Communication Technologies ◽  
Postgraduate Students ◽  
Design Based Research ◽  
Pedagogical Design ◽  
Private And Public ◽  
Iterative Improvement

<p>This paper presents selected findings from a 5-year design-based research case study of the evolution of an online role play that allows postgraduate students to explore the complexities inherent in land rights negotiations between indigenous peoples and others. In the context of Laurillard’s (2002) conversational framework and a design-based research methodology, diverse private and public discussion forum spaces were created for group negotiations on a learning management system (LMS) platform. Our analysis of the conversational framework structure in the evolved role play showed that all four stages – discursive, adaptive, integrative, and reflective – were evidenced, with the adaptive and integrative stages cycling through multiple times. The online role play, whilst implemented as a simple virtual world, facilitated personal, deep and socialised learning experiences focused on consultation, negotiation and decision-making. We also found that student anonymity was not necessary for full engagement in role play, and that students chose to incorporate communication technologies outside the LMS into their learning activities. This research shows that with a strong pedagogical design, and attention paid to an evidence-based iterative improvement cycle, online role plays can provide powerful collaborative learning experiences.</p>

Entangled Systems at the Energy-Water-Food Nexus

2017 ◽  
pp. 144-165
Author(s):  
Joseph Nyangon ◽  
Nabeel Alabbas ◽  
Lawrence Agbemabiese
Keyword(s):  
Large Scale ◽  
Food Resource ◽  
Institutional Processes ◽  
Trade Offs ◽  
Institutional Structures ◽  
Private And Public ◽  
Energy Economy ◽  
Political Economic ◽  
Resource Systems

This chapter assesses energy, water, and food resource systems based on their inter- and intra-sectoral imperatives of large scale development investments at the institutional level (including private and public activities) and how to achieve security of resource supplies. It identifies key interrelated processes, practices, and factors that underpin integrated resource management (IRM) and their attendant benefits. Applying the E4 framework concerned with energy, economy, environment, and equity to identify the main threats to these systems, the chapter evaluates their institutional, political, economic, cultural and behavioral components, and characterizes the forces that drive each of them at different governance scales. The chapter is guided by political economy, economic, and sociological theories that suggest that institutional structures affect economic factors and processes (i.e. production, distribution, and consumption processes). A case study of energy, water, and food (EWF) conflicting sectoral imperatives in Delaware is discussed in detail to better understand how these policy and institutional processes occur, which forms they take, and in which ways they define the quality and quantity of EWF resource systems in the State. In order to verify these parameters, the analysis considered the advantages of a sectorally balanced, E4 framework, in particular to evaluate the valency and magnitude of cross-sectoral connections, balance competing needs, and identify policy options that address various trade-offs.

Sign in / Sign up

Export Citation Format

Share Document