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The Personal Cloud—Design, Architecture and Matchmaking Algorithms for Resource Management
Open access to the papers is sponsored by USENIX.
We introduce the notion of a Personal Cloud — a collection of Virtual Machines (VMs) running on unused computers at the edge. The Personal Cloud provides an ideal solution for the secure sharing of compute and storage resources across peers in a resource and application agnostic manner, and facilitates new computational paradigms such as datacenter-less, distributed virtual clouds. We provide and implement solutions for the challenges of managing a Personal Cloud, such as IP address sharing, bandwidth sharing and isolation from local home network traffic. We also propose and implement a provably optimal solution to the resource management problem, allowing peers to share VMs across their individual Personal Clouds by specifying their resource offers and requests, and verify its performance via detailed simulations.
Adiseshu Hari, Ramesh Viswanathan, and T.V. Lakshman, Bell Labs, USA; Y.J. Chang, ITRI, Taiwan
Open Access Content
Papers are restricted to registered attendees until the event begins. Once the event begins, the content becomes free and open to everyone. Journal articles are open to everyone upon publication. If available, video, audio, and/or slides of this presentation will be posted here after the event.
We introduce the notion of a Personal Cloud — a collection of Virtual Machines (VMs) running on unused computers at the edge. The Personal Cloud provides an ideal solution for the secure sharing of compute and storage resources across peers in a resource and application agnostic manner, and facilitates new computational paradigms such as datacenter-less, distributed virtual clouds. We provide and implement solutions for the challenges of managing a Personal Cloud, such as IP address sharing, bandwidth sharing and isolation from local home network traffic. We also propose and implement a provably optimal solution to the resource management problem, allowing peers to share VMs across their individual Personal Clouds by specifying their resource offers and requests, and verify its performance via detailed simulations.
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