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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Reciprocal Resource Fairness: Towards Cooperative Multiple-Resource Fair Sharing in IaaS Clouds
SESSION: Cloud Computing II
EVENT TYPE: Papers
TIME: 4:00PM - 4:30PM
SESSION CHAIR: Jennifer M. Schopf
AUTHOR(S):Haikun Liu, Bingsheng He
ROOM:388-89-90
ABSTRACT:
Resource sharing in virtualized environments have been demonstrated significant benefits to improve application performance and resource/energy efficiency. However, resource sharing, especially for multiple types, poses several severe and challenging problems in pay-as-you-use cloud environments, such as sharing incentive, economic fairness and free-riding. To address these problems, we propose Reciprocal Resource Fairness (RRF), a novel resource allocation mechanism to enable fair sharing multiple types of resources among multiple tenants in new-generation clouds. RRF implements two complementary and hierarchical mechanisms for resource sharing: inter-tenant resource trading and intra-tenant weight adjustment. We show that RRF satisfies several highly desirable properties to ensure fairness. Experimental results show RRF is promising for both cloud providers and tenants. Compared to the current cloud models, RRF improves VM density and cloud providers’ revenue by 2.2X. For tenants, RRF improves application performance by 45% and guarantees 95% economic fairness among multiple tenants.
Chair/Author Details:
Jennifer M. Schopf (Chair) - Indiana University
Haikun Liu - Nanyang Technological University
Bingsheng He - Nanyang Technological University
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