scholarly journals Leveraging Cloud Computing and High Performance Computing (HPC) Advances for Next Generation Projects and Technologies

2020 ◽  
Vol 7 (3) ◽  
pp. 73-78
Author(s):  
Praveen Kumar Donepudi
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Data Centers ◽  
Recent Decade ◽  
Energy Performance ◽  
Entire Structure ◽  
Cloud Framework ◽  
Critical Boundary ◽  
Performance Computing

The scene of cloud computing has essentially changed throughout the most recent decade. Not just have more providers and administration contributions have barged in the space, yet additionally, cloud foundation that was generally restricted to single providers data centers is currently advancing. In this paper, we initially talk about the changing cloud foundation and consider the utilization of framework from numerous providers and the advantage of decentralizing computing ceaselessly from data centers. These patterns have brought about the requirement for a variety of new computing architectures that will be offered by future cloud framework. These models are predicted to affect certain areas, for example, connecting individuals and devices, data-intensive computing, the service space, and self-learning frameworks. At long last, we spread out a guide of difficulties that should be tended to for understanding the capability of cutting edge cloud frameworks. Architectural and metropolitan design ventures are continually breaking barriers of scale and unpredictability and consistently look for improved proficiency, maintainability, building energy performance, and cost-efficiency. Simulation and largescale information processing are presently the basic components of this cycle. Ongoing advances in calculations and computational force offer a way to address the complicated elements of a coordinated entire structure framework. Nonetheless, adaptability is a critical boundary to the acknowledgment of entire structure frameworks devices for configuration, control, and improvement. This position paper presents a bunch of strategies, for example, quick plan boundary space exploration, large-scope high accuracy simulation, and integrated multi-disciplinary improvement for semi-or completely automated projects. These procedures are very computing escalated, and have customarily just been accessible to the examination network. Be that as it may, once empowered by advances in cloud computing and high-performance computing, these procedures can encourage the intelligent plan measure bringing about improved results and decreased advancement process durations.  

scholarly journals Efficient Communication in Cloud using High Performance Computing System

2019 ◽  
Vol 9 (1) ◽  
pp. 2629-2632
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Computing System ◽  
High Performance Computing System ◽  
Efficient Communication ◽  
Previous Decade ◽  
Cloud Framework ◽  
Computing Framework ◽  
Performance Computing

To build the productivity of every errand, we necessitate a framework that should furnish high performance alongside adaptabilities and price effectiveness for client. Cloud computing, since we are for the most part mindful, has turned out to be well known over the previous decade. So as to build up a high performance disseminated framework, we have to use the cloud computing. In this paper, we will initially have a presentation of high performance computing framework. Thusly inspecting them we will investigate inclines in compute and emerald feasible computing to upgrade the routine of a cloud framework. At long last introducing the future degree, we finish up the paper recommending a way to accomplish a emerald high performance cloud framework.

Cloud Computing for Scientific Simulation and High Performance Computing

2013 ◽  
pp. 51-70
Author(s):  
Adrian Jackson ◽  
Michèle Weiland
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Large Scale ◽  
Parallel Programs ◽  
Small Scale ◽  
Cloud Infrastructure ◽  
Scientific Simulations ◽  
Cloud Infrastructures ◽  
Performance Computing

This chapter describes experiences using Cloud infrastructures for scientific computing, both for serial and parallel computing. Amazon’s High Performance Computing (HPC) Cloud computing resources were compared to traditional HPC resources to quantify performance as well as assessing the complexity and cost of using the Cloud. Furthermore, a shared Cloud infrastructure is compared to standard desktop resources for scientific simulations. Whilst this is only a small scale evaluation these Cloud offerings, it does allow some conclusions to be drawn, particularly that the Cloud can currently not match the parallel performance of dedicated HPC machines for large scale parallel programs but can match the serial performance of standard computing resources for serial and small scale parallel programs. Also, the shared Cloud infrastructure cannot match dedicated computing resources for low level benchmarks, although for an actual scientific code, performance is comparable.

Green Computing

2014 ◽  
pp. 248-260
Keyword(s):  
Climate Change ◽  
Cloud Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Large Scale ◽  
Green Computing ◽  
Research Topic ◽  
The Other ◽  
Cloud Infrastructures ◽  
Performance Computing

Green computing is a contemporary research topic to address climate and energy challenges. In this chapter, the authors envision the duality of green computing with technological trends in other fields of computing such as High Performance Computing (HPC) and cloud computing on one hand and economy and business on the other hand. For instance, in order to provide electricity for large-scale cloud infrastructures and to reach exascale computing, we need huge amounts of energy. Thus, green computing is a challenge for the future of cloud computing and HPC. Alternatively, clouds and HPC provide solutions for green computing and climate change. In this chapter, the authors discuss this proposition by looking at the technology in detail.

Survey of State-of-Art in Green Cloud Computing

2019 ◽  
pp. 1360-1369
Author(s):  
Sanjay P. Ahuja ◽  
Karthika Muthiah
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Energy Use ◽  
Data Centers ◽  
Green Cloud Computing ◽  
Cloud Data ◽  
Cloud Framework ◽  
Services Outsourcing ◽  
Green Cloud ◽  
Recycle And Reuse

Cloud computing is witnessing tremendous growth at one time when climate change and reducing emissions from energy use is gaining attention. With the growth of the cloud, however, comes an increase in demand for energy. There is growing global awareness about reducing greenhouse gas emissions and healthy environments. Green computing in general aims to reduce the consumption of energy and carbon emission and also to recycle and reuse the energy usage in a beneficial and efficient way. Energy consumption is a bottleneck in internet computing technology. Green cloud computing related technology arose as an improvement to cloud computing. Cloud data centers consume inordinate amounts of energy and have significant CO2 emissions as they have a huge network of servers. Furthermore, these data centers are tightly linked to provide high performance services, outsourcing and sharing resources to multiple users through the internet. This paper gives an overview about green cloud computing and its evolution, surveys related work, discusses associated integrated green cloud architecture – Green Cloud Framework, innovations, and technologies, and highlights future work and challenges that need to be addressed to sustain an eco-friendly cloud computing environment that is poised for significant growth.

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

scholarly journals Viability of Cloud Computing for Real-Time Numerical Weather Prediction

2016 ◽  
Vol 31 (6) ◽  
pp. 1985-1996 ◽  
Author(s):  
David Siuta ◽  
Gregory West ◽  
Henryk Modzelewski ◽  
Roland Schigas ◽  
Roland Stull
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Real Time ◽  
Numerical Weather Prediction ◽  
High Performance ◽  
Virtual Machines ◽  
Weather Prediction ◽  
Cloud Platform ◽  
Numerical Weather ◽  
Performance Computing

Abstract As cloud-service providers like Google, Amazon, and Microsoft decrease costs and increase performance, numerical weather prediction (NWP) in the cloud will become a reality not only for research use but for real-time use as well. The performance of the Weather Research and Forecasting (WRF) Model on the Google Cloud Platform is tested and configurations and optimizations of virtual machines that meet two main requirements of real-time NWP are found: 1) fast forecast completion (timeliness) and 2) economic cost effectiveness when compared with traditional on-premise high-performance computing hardware. Optimum performance was found by using the Intel compiler collection with no more than eight virtual CPUs per virtual machine. Using these configurations, real-time NWP on the Google Cloud Platform is found to be economically competitive when compared with the purchase of local high-performance computing hardware for NWP needs. Cloud-computing services are becoming viable alternatives to on-premise compute clusters for some applications.

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