Title:
Tactical HPC: Scheduling high performance computers in a geographical region

dc.contributor.advisor Weitnauer, Mary Ann
dc.contributor.author KhoshgoftarMonfared, Alireza
dc.contributor.committeeMember Ammar, Mostafa H.
dc.contributor.committeeMember Zegura, Ellen W.
dc.contributor.committeeMember Riley, George
dc.contributor.committeeMember Xu, Jim
dc.contributor.committeeMember Doria, David
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2016-05-27T13:11:41Z
dc.date.available 2016-05-27T13:11:41Z
dc.date.created 2016-05
dc.date.issued 2016-01-13
dc.date.submitted May 2016
dc.date.updated 2016-05-27T13:11:41Z
dc.description.abstract Mobile devices are often expected to perform computational tasks that may be beyond their processing or battery capability. Cloud computing techniques have been proposed as a means to offload a mobile device's computation to more powerful resources. In this thesis, we consider the case where powerful computing resources are made available by utilizing vehicles. These vehicles can be repositioned in real time to receive computational tasks from user-carried devices. They can be either equipped with rugged high-performance computers to provide both computation and communication service, or they can be simple message ferries that facilitate communication with a more powerful computing resource. These scenarios find application in challenged environments and may be used in a military or disaster relief settings. It is further enabled by increasing feasibility of (i) constructing a Mobile High Performance Computer (MHPC) using rugged computer hardware with form factors that can be deployed in vehicles and (ii) Message Ferries (MF) that provide communication service in disruption tolerant networks. By analogy to prior work on message ferries and data mules, one can refer to the use of our first schema, MHPCs, as computational ferrying. After illustrating and motivating the computational ferrying concept, we turn our attention into the challenges facing such a deployment. These include the well known challenges of operating an opportunistic and intermittently connected network using message ferries -- such as devising an efficient mobility plan for MHPCs and developing techniques for proximity awareness. In this thesis, first we propose an architecture for the system components to be deployed on the mobile devices and the MHPCs. We then focus on defining and solving the MHPC movement scheduling problem with sufficient generality to describe a number of plausible deployment scenarios. After thorough examination of the MHPC concepts, we propose a scheme in which MHPCs are downgraded to be simple MFs that instead provide communication to a stationary HPC with powerful computing resources. Similar to the MPHCs, we provide a framework for this problem and then describe heuristics to solve it. We conduct a number of experiments that provide an understanding of how the performance of the system using MHPCs or MFs is affected by various parameters. We also provide a thorough comparison of the system in the dimensions of Computation on the Move and Controlling the Mobility.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/54934
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Opportunistic networks
dc.subject Delay tolerant networks
dc.subject Mobile computing systems
dc.subject Mobile cloud computing
dc.subject High performance computers
dc.subject Shceduling
dc.title Tactical HPC: Scheduling high performance computers in a geographical region
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Weitnauer, Mary Ann
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 40e56013-1a4b-4b7c-9c07-fc7cccf63c5e
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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