Grants and Contributions:

Back to search

Title:

Cloud load balancing for low latency applications

Agreement Number:

EGP

Agreement Value:

$24,900.00

Agreement Date:

Jul 12, 2017 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

British Columbia, CA

Reference Number:

GC-2017-Q2-00123

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Feng, Chen (The University of British Columbia)

Program:

Engage Grants for Universities

Program Purpose:

Two Hat Security aims to develop next generation moderation tools to identify offensive images/videos,x000D
especially those containing child sexual abuse material (CSAM). If Two Hat is able to detect those contents asx000D
soon as they are uploaded to the cloud, it can help to stop the spread of CSAM online. However, this presents ax000D
difficult engineering challenge: After Two Hat develops a highly accurate tool to detect CSAM, how can itx000D
support low latency detection with ever increasing CSAM contents? The proposed project is to achievex000D
sub-second detection time in a cloud environment with a large number of servers. We will make use of a recentx000D
breakthrough in cloud load balancing---the so-called Join-the-Idle-Queue (JIQ) strategy. First, we will conductx000D
a complete theoretical analysis for JIQ and in doing so obtain important engineering insights. Second, we willx000D
develop various JIQ algorithms based on our insights. Finally, we will work together with software engineers atx000D
Two Hat to implement our JIQ algorithms on a cloud platform, such as Amazon EC2, Google Cloud, orx000D
Microsoft Azure.