SCHEDULE: NOV 10-16, 2012
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.
Scalia: An Adaptive Scheme for Efficient Multi-Cloud Storage
SESSION: Cloud Computing
EVENT TYPE: Papers
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Manish Parashar
AUTHOR(S):Thanasis G. Papaioannou, Nicolas Bonvin, Karl Aberer
ROOM:355-D
ABSTRACT:
A growing amount of data is produced daily resulting in a growing demand for storage solutions. While cloud storage providers offer a virtually infinite storage capacity, data owners seek geographical and provider diversity in data placement, in order to avoid vendor lock-in and to increase availability and durability.
Moreover, depending on the customer data access pattern, a certain cloud provider may be cheaper than another. In this paper, we introduce Scalia, a cloud storage brokerage solution that continuously adapts the placement of data based on its access pattern and subject to optimization objectives, such as storage costs. Scalia cleverly considers re-positioning of only selected objects that may significantly lower the storage cost. By extensive simulation experiments, we prove the cost-effectiveness of Scalia against static placements and its proximity to the ideal data placement in various scenarios of data access patterns, of available cloud storage solutions and of failures.
Chair/Author Details:
Manish Parashar (Chair) - Rutgers University
Thanasis G. Papaioannou - EPFL
Nicolas Bonvin - EPFL
Karl Aberer - EPFL
Click here to download .ics calendar file
Click here to download .vcs calendar file
Click here to add event to your Google Calendar
Scalia: An Adaptive Scheme for Efficient Multi-Cloud Storage
SESSION: Cloud Computing
EVENT TYPE:
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Manish Parashar
AUTHOR(S):Thanasis G. Papaioannou, Nicolas Bonvin, Karl Aberer
ROOM:355-D
ABSTRACT:
A growing amount of data is produced daily resulting in a growing demand for storage solutions. While cloud storage providers offer a virtually infinite storage capacity, data owners seek geographical and provider diversity in data placement, in order to avoid vendor lock-in and to increase availability and durability.
Moreover, depending on the customer data access pattern, a certain cloud provider may be cheaper than another. In this paper, we introduce Scalia, a cloud storage brokerage solution that continuously adapts the placement of data based on its access pattern and subject to optimization objectives, such as storage costs. Scalia cleverly considers re-positioning of only selected objects that may significantly lower the storage cost. By extensive simulation experiments, we prove the cost-effectiveness of Scalia against static placements and its proximity to the ideal data placement in various scenarios of data access patterns, of available cloud storage solutions and of failures.
Chair/Author Details:
Manish Parashar (Chair) - Rutgers University
Thanasis G. Papaioannou - EPFL
Nicolas Bonvin - EPFL
Karl Aberer - EPFL
Click here to download .ics calendar file