Hybrid Computing—Where HPC meets grid and Cloud Computing

Mateescu, Gabriel; Gentzsch, Wolfgang; Ribbens, Calvin J.

doi:10.1016/j.future.2010.11.003

Cited by 143 publications

(77 citation statements)

References 24 publications

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“…Author of [4] suggest hybrid computing solution which will be the outcome of grid and cloud computing and traditional HPC. He try to combine the best of all these three strategy to gain the new model.…”

Section: Review Of Prior Workmentioning

confidence: 99%

Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing

Singh¹,

Sahu²

2014

IJCA

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Cloud Computing is very fruitful area for today's business. It provide lot of advantages like reduction of hardware and software cost for organization. Organization not has to invest a lot of money for their infrastructure and they gain full benefit of their investment. Number of cloud provider also increasing some of which have their own data center and some also have virtual data centre to provide services over the internet. Cloud is a model where customer expects more services or services without interruption for their money and cloud provider expect more ROI (Return on investment). These thing depend enough on effective scheduling Cloud provider have many VM at their data centre so they must have a proper load balancing to utilize their all VM. At present time environment is becoming serious issue and in near future problem is increasing more and more. So scheduling algorithm must consider the issue of minimization of carbon emission. In our work we propose an algorithm which will address environment and load balancing issue for public cloud.

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Section: Review Of Prior Workmentioning

confidence: 99%

Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing

Singh¹,

Sahu²

2014

IJCA

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“…So, in the past few years, the grid computing has been proposed as an effective resource management in order to meet the organizational requirements. Mateescu et al (2011) proposed HPC architecture for grid and cloud computing environments. They considered the predictable execution of scientific applications and scales from a single resource to multiple resources, with different ownership, policy and geographic locations for architectural design patterns.…”

Section: Introductionmentioning

confidence: 99%

A Review on Secured Cloud Computing Environment

Chakravarthy¹

2014

American Journal of Applied Sciences

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Nowadays, the scientific problem becomes very complex; therefore, it requires more computing power and storage space. These requirements are very common in an organization while dealing with current technological data and requirements. Based on these basic requirements, need of higher computational resources is an important issue when dealing with current technological methodology. Hence, cloud computing has become the most important computing paradigm of recent world. The cloud computing is an open source and using Internet as network model. Rapid growth in the field of "cloud computing" also increases severe security concerns, because security has a constant issue. This study reviews security models of cloud computing.

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“…A detailed comparison of the characteristics of HPC, grid, and cloud paradigms is presented in [6], where it is observed that none of these paradigms is the ultimate solution, and a convergence of them all should be pursued. Even if many computing paradigms show some kind of SOA awareness, heterogeneous resource provisioning still remains an open problem because of the many integration issues, such as usage model, life-cycle management, authentication, application programming interfaces (APIs), adopted standards (or no standard at all), services (e.g., storage, authentication), network segmentation or isolation between different resources, monitoring, workflow languages, and engines.…”

Section: Introductionmentioning

confidence: 99%

An SOA-Based Model for the Integrated Provisioning of Cloud and Grid Resources

Bosin

2012

Advances in Software Engineering

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In the last years, the availability and models of use of networked computing resources within reach of e-Science are rapidly changing and see the coexistence of many disparate paradigms: high-performance computing, grid, and recently cloud. Unfortunately, none of these paradigms is recognized as the ultimate solution, and a convergence of them all should be pursued. At the same time, recent works have proposed a number of models and tools to address the growing needs and expectations in the field of e-Science. In particular, they have shown the advantages and the feasibility of modeling e-Science environments and infrastructures according to the service-oriented architecture. In this paper, we suggest a model to promote the convergence and the integration of the different computing paradigms and infrastructures for the dynamic on-demand provisioning of resources from multiple providers as a cohesive aggregate, leveraging the service-oriented architecture. In addition, we propose a design aimed at endorsing a flexible, modular, workflow-based computing model for e-Science. The model is supplemented by a working prototype implementation together with a case study in the applicative domain of bioinformatics, which is used to validate the presented approach and to carry out some performance and scalability measurements.

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Hybrid Computing—Where HPC meets grid and Cloud Computing

Cited by 143 publications

References 24 publications

Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing

Environment Conscious Public Cloud Scheduling Algorithm with Load Balancing

A Review on Secured Cloud Computing Environment

An SOA-Based Model for the Integrated Provisioning of Cloud and Grid Resources

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