The CICA GRID - A Cloud Computing Infrastructure on Demand with Open Source Technologies

2012 ◽  
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
On Demand ◽  
Computing Infrastructure

Comparative Study on XEN, KVM, VSphere, and Hyper-V

2016 ◽  
pp. 233-261
Author(s):  
Prashanta Kumar Das
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Service Delivery ◽  
Comparative Study ◽  
Open Source ◽  
Qualitative Comparison ◽  
Hardware Virtualization ◽  
Delivery Model ◽  
On Demand ◽  
Computing Infrastructure

This Chapter provides a quantitative and qualitative comparison of four popular virtualization platforms, open-source hypervisors Xen, KVM and proprietary hypervisors VMware vSphere (ESXi), Microsoft Hyper-V. Cloud Computing is on Demand, Pay-per-use distributed computing service delivery model in which computing resources can be used as Utility like other utility such as water, electricity etc. as per requirement. Cloud computing has made it possible to provide virtually unlimited computing infrastructure i.e. IaaS on demand using virtualization technology. Intel and AMD have independently developed virtualization extensions to the x86 architecture referred to as hardware virtualization.

scholarly journals On-demand virtual research environments using microservices

2019 ◽  
Vol 5 ◽  
pp. e232 ◽  
Author(s):  
Marco Capuccini ◽  
Anders Larsson ◽  
Matteo Carone ◽  
Jon Ander Novella ◽  
Noureddin Sadawi ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Open Source ◽  
Scientific Community ◽  
Life Science ◽  
Scientific Applications ◽  
Infrastructure As A Service ◽  
On Demand ◽  
Research Environments ◽  
Cloud Providers

The computational demands for scientific applications are continuously increasing. The emergence of cloud computing has enabled on-demand resource allocation. However, relying solely on infrastructure as a service does not achieve the degree of flexibility required by the scientific community. Here we present a microservice-oriented methodology, where scientific applications run in a distributed orchestration platform as software containers, referred to as on-demand, virtual research environments. The methodology is vendor agnostic and we provide an open source implementation that supports the major cloud providers, offering scalable management of scientific pipelines. We demonstrate applicability and scalability of our methodology in life science applications, but the methodology is general and can be applied to other scientific domains.

Novel Software Containers for Engineering and Scientific Simulations in the Cloud

2016 ◽  
Vol 8 (1) ◽  
pp. 38-49 ◽  
Author(s):  
Wolfgang Gentzsch ◽  
Burak Yenier
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Data Transfer ◽  
Current Status ◽  
Loss Of Control ◽  
On Demand ◽  
Scientific Simulations ◽  
Software Licensing ◽  
Lock In ◽  
Computing Infrastructure

The adoption of cloud computing for engineering and scientific applications is still lagging behind, although many cloud providers today offer powerful computing infrastructure as a service, and enterprises are already making routine use of it. Reasons for this slow adoption are many: complex access to clouds, inflexible software licensing, time-consuming big data transfer, loss of control over their assets, service provider lock-in, to name a few. But recently, with the advent of the UberCloud's novel high-performance software container technology, many of these roadblocks are currently being removed. In this paper the authors describe the current status and landscape of clouds for engineers and scientists, the benefits and challenges, and how UberCloud is providing an online solution platform and container technology which reduce or even remove many of the current roadblock, and thus offer every engineer and scientist additional compute power on demand, in an easily accessible way.

scholarly journals Eucalyptus: an open-source cloud computing infrastructure

2009 ◽  
Vol 180 ◽  
pp. 012051 ◽  
Author(s):  
Daniel Nurmi ◽  
Rich Wolski ◽  
Chris Grzegorczyk ◽  
Graziano Obertelli ◽  
Sunil Soman ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Computing Infrastructure

Replication and Resubmission Based Adaptive Decision for Fault Tolerance in Real Time Cloud Computing

2016 ◽  
Vol 7 (2) ◽  
pp. 46-60 ◽  
Author(s):  
Prasenjit Kumar Patra ◽  
Harshpreet Singh ◽  
Rajwinder Singh ◽  
Saptarshi Das ◽  
Nilanjan Dey ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Cloud Infrastructure ◽  
Reliability Factor ◽  
On Demand ◽  
Computing Node ◽  
Computing Infrastructure ◽  
Demand Service

Cloud computing an adoptable technology is the upshot evolution of on demand service in the computing epitome of immense scale distributed computing. With the raising asks and welfares of cloud computing infrastructure, society can take leverage of intensive computing capability services and scalable, virtualized vicinity of cloud computing to carry out real time tasks executed on a remote cloud computing node. Due to the indeterminate latency and minimal control over computing node, sway the reliability factor. Therefore, there is a raise of requisite for fault tolerance to achieve reliability in the real time cloud infrastructure. In this paper, a model which provides fault tolerance named “Replication and resubmission based adaptive decision for fault tolerance in real-time cloud computing (RRADFTRC)” for real time cloud computing is projected with result. In the projected model, the system endure the faults and makes the adaptive decision on the basis of proper resource allocation of tasks with a new style of approach in real time cloud vicinity.

scholarly journals PERFORMANCE ANALYSIS OF OPEN SOURCE STORAGE CLOUDS IN CLOUD COMPUTING

2012 ◽  
Vol 2 (2) ◽  
pp. 43-48
Author(s):  
Kumari Rani shaveta ◽  
Sangeeta Sharma
Keyword(s):  
Cloud Computing ◽  
Standard Deviation ◽  
Open Source ◽  
Performance Metrics ◽  
Memory Performance ◽  
Economic Value ◽  
Research Area ◽  
Memory Usage ◽  
Cpu Time ◽  
On Demand

Cloud computing is one of the latest research area that helps in storing the information permanently on the servers and manages the different resources for the requested users to provide on-demand services. In order to create the more usable and economic value based cloud computing, the principles, goals and structure of the cloud engineering is of vital importance. The objective of this study is to analyze the CPU and memory performance of different open source clouds. We will use different open source cloud to measure the different performance metrics like CPU time for downloading and uploading of file, memory usage while downloading and uploading the file, standard deviation of CPU usage and standard deviation of memory usage.

scholarly journals OpenStack: Toward an Open-source Solution for Cloud Computing

2012 ◽  
Vol 55 (3) ◽  
pp. 38-42 ◽  
Author(s):  
Omar Sefraoui ◽  
Mohammed Aissaoui ◽  
Mohsine Eleuldj
Keyword(s):  
Cloud Computing ◽  
Open Source
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