Search
Now showing items 1-7 of 7
Design and implementation of a cloud computing service for finite element analysis
(Elsevier, 2013-06)
This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance ...
Towards automatic selection of direct vs. iterative solvers for cloud-based finite element analysis
(Civil-Comp, 2015)
The new trend in engineering is to solve complex computational problems in the cloud using high performance computing (HPC) services provided by different vendors. In this paper, we compare performances of direct vs. ...
Smart job scheduling for high-performance cloud computing services
(Civil-comp, 2011-01)
In this paper, we describe the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific ...
Yüksek-ölçekli mobil iletişim verilerinin açık-kaynak hadoop çerçevesi kullanılarak paralel ve iş-hatlı işlenmesi
(IEEE, 2012)
The fast increase in mobile device and bandwidth usage is generating big workloads on the IT infrastructures of mobile service providers and increasing management costs. These providers collect log files continuously and ...
A survey of software testing in the cloud
(IEEE, 2012)
Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods ...
Testing performance of application containers in the cloud with hpc loads
(Civil-Comp, 2017)
In this paper, we evaluate HPC application deployment using container technology and examine performance metrics on a public cloud. The research focuses on the ease of deployment, performance and isolation issues related ...
Cost minimization for deploying serverless functions
(ACM, 2021-03)
The costs of serverless functions increase proportional to the amount of memory reserved on the deployed server. However, increasing the amount of memory decreases the function execution time, which is also a factor that ...
Share this page