[Colloquium] A Computer Science Seminar
Donna Brooms
donna at cs.uchicago.edu
Wed Nov 28 09:26:24 CST 2012
~ A Computer Science Seminar ~
Date: Monday, December 3, 2012
Time: 2:30 p.m.
Place: Ryerson 251, 1100 E. 58th Street
______________________________
Speaker: Raihan ur Rasool
From: Visiting Fulbright Scholar @ University of Chicago
Title: Sharing Cloud Resources Using Social Network
Abstract: Cloud computing is a model for enabling convenient, ubiquitous and on-demand network access to a shared pool of configurable computing resources (e.g. storage, applications, and networks) that can be provisioned with minimal management effort. Despite all these benefits, the sharing of resources with other users is a challenge; cloud providers do not commonly facilitate users in sharing their dedicated resources with others. In developing countries it is often too expensive for people to acquire a virtual machine of their own. Users may therefore wish to manage costs and increase computational resource usage by sharing their instances with others. Sadly it is not easy to do this at present. Social networks provide a structure that allows users to interact and share resources (e.g. pictures and videos) on the basis of a trustworthy relationship (e.g. Friendship).
The first part of this talk highlights a Cloud Resource Bartering model (CRB-model) for sharing user’s computational resources through a social network. In this approach a social network has been linked with the computational cloud to create a Social Cloud (SC) so that users can share their part of the Cloud with their social community. A prototype system will be explained that has been deployed on a social network by using the bartering resource trading mechanism. It is anticipated that this may help users to share their dedicated resources without the need for money changing hands and different communities.
The second part of this talk shall introduce Elastic JADE (Java Agent Development framework), the aim of which is to allow a local JADE platform to automatically scale up and down using Amazon EC2 resources when the local platform is heavily loaded. The system architecture and working of a prototype will be explained.
Host: Andrew Chien
*Refreshments will be served following the talk at 3:30 in Ryerson 255*
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