Amazon Web Services(AWS)云平台可靠性技术研究

By 刘义颖. 2014

173 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a9f28561ddb26b3c94393b165842f57555ebc24b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Gideon Juve
2. Ewa Deelman
3. Karan Vahi
4. Weiwei Chen
5. M. Rynge
6. S. Callaghan
7. P. Maechling
8. R. Mayani

Citations in the corpus

• Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture (2012, background): “Using MOCHA, mobile devices such as smart-phones, touchpads, and laptops are connected to the cloud (e.g., Amazon Web Services [2], Windows Azure [3]) via a cloudlet, a dedicated server designed from commodity hardware supporting multiple network connections such as 3G/4G, Bluetooth, WiFi and…”
• Pegasus, a workflow management system for science automation (2015, methodology): “When executing workflows in the cloud, whether a commercial cloud such as Amazon Web Services (AWS) [43], or science clouds like FutureGrid [44], or private cloud infrastructures such as those managed for example by OpenStack [45], the workflow will have to handle dynamic changes to the…”