Periodic Data Structures for Bandwidth-intensive Applications

Simple item page
dc.contributor.authorAlbanese, Ilijc
dc.contributor.supervisorDarcie, Thomas Edward
dc.date.accessioned2015-01-12T19:10:57Z
dc.date.available2016-01-03T12:22:05Z
dc.date.copyright2014en_US
dc.date.issued2015-01-12
dc.degree.departmentDepartment of Electrical and Computer Engineering
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractCurrent telecommunication infrastructure is undergoing significant changes. Such changes involve the type of traffic traveling through the network as well as the requirements imposed by the new traffic mix (e.g. strict delay control and low end-to-end delay). In this new networking scenario, the current infrastructure, which remained almost unchanged for the last several decades, is struggling to adapt, and its limitations in terms of power consumption, scalability, and economical viability have become more evident. In this dissertation we explore the potential advantages of using periodic data structures to handle efficiently bandwidth-intensive transactions, which constitute a significant portion of today's network traffic. We start by implementing an approach that can work as a standalone system aiming to provide the same advantages promised by all-optical approaches such as OBS and OFS. We show that our approach is able to provide similar advantages (e.g. energy efficiency, link utilization, and low computational load for the network hardware) while avoiding the drawbacks (e.g. use of optical buffers, inefficient resource utilization, and costly deployment), using commercially available hardware. Aware of the issues of large scale hardware redeployment, we adapt our approach to work within the current transport network architecture, reusing most of the hardware and protocols that are already in place, offering a more gradual evolutionary path, while retaining the advantages of our standalone system. We then apply our approach to Data Center Networks (DCNs), showing its ability to achieve significant improvements in terms of network performance stability, predictability, performance isolation, agility, and goodput with respect to popular DCN approaches. We also show our approach is able to work in concert with many proposed and deployed DCN architectures, providing DCNs with a simple, efficient, and versatile protocol to handle bandwidth-intensive applications within the DCs.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationI.Albanese, T.Darcie, S.Ganti, Power-efficient Electronic Burst Switching for Large File Transactions, SMARTGREENS 2013en_US
dc.identifier.bibliographicCitationIlijc Albanese ; Thomas E. Darcie ; Sudhakar Ganti; Electronic implementation of optical burst switching techniques. Proc. SPIE 8915, Photonics North 2013, 89150B (October 11, 2013)en_US
dc.identifier.bibliographicCitationAlbanese, Ilijc; Yazir, Yagiz Onat; Neville, Stephen W.; Ganti, Sudhakar; Dar- cie, Thomas E., ”Big file protocol (BFP): A traffic shaping approach for efficient transport of large files,” High Performance Switching and Routing (HPSR), 2014 IEEE 15th International Conference on , vol., no., pp.125,130, 1-4 July 2014en_US
dc.identifier.bibliographicCitationAlbanese, Ilijc; Yazir, Yagiz Onat; Neville, Stephen W.; Ganti, Sudhakar; Dar- cie, Thomas E., “Big File Protocol (BFP) for OTN and Ethernet Transport Systems”. Journal of Optical Communications and Networking, to be pub- lished.en_US
dc.identifier.urihttp://hdl.handle.net/1828/5851
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectdata center networkingen_US
dc.subjectoptical burst switchingen_US
dc.subjectoptical transport networksen_US
dc.subjectITU-T G.709en_US
dc.subjecttelecommunication systemsen_US
dc.subjectnetwork architectureen_US
dc.subjectBig File Protocolen_US
dc.titlePeriodic Data Structures for Bandwidth-intensive Applicationsen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Albanese_Ilijc_PhD_2015.pdf
Size:
24.39 MB
Format:
Adobe Portable Document Format
Description:
PhD Dissertation
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.