Title :
Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms
Author :
Hangwei Qian ; Qian Lv
Author_Institution :
VMware, Inc., Palo Alto, CA, USA
Abstract :
Cloud platforms deploy data centers geographically distributed around the world and application providers select cloud infrastructures and allocate virtual machines based on the requirements of their applications. While existing works focused on the comparison on cloud services, we argue that proximity also plays a very important role when deciding in which cloud infrastructures to deploy the applications. In this position paper, we take into account the location of cloud infrastructures, application clients and related applications, and the interaction among application components as well as the deployment cost and propose to build a system to automatically select the cloud infrastructures for customers. Meanwhile, we also discuss some issues and give suggestions when allocating the virtual machines within cloud infrastructures.
Keywords :
cloud computing; computer centres; virtual machines; IaaS cloud platforms; cloud infrastructures; cloud services; data centers; deployment cost; proximity-aware cloud selection; virtual machine allocation; Bandwidth; Cloud computing; Distributed databases; IP networks; Quality of service; Virtual machining; Cloud Computing; Cloud selection; Infrastructure as a Service (IaaS); Proximity;
Conference_Titel :
Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on
Conference_Location :
Redwood City
Print_ISBN :
978-1-4673-5659-6
DOI :
10.1109/SOSE.2013.54