Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/13800
Title: Studies on gridlock avoidance technique based on SPUR policy with income administration
Researcher: Suresh, S.
Guide(s): Poornaselvan, K.J.
Keywords: Gridlock avoidance technique, SPUR policy, income administration, Internet
Upload Date: 9-Dec-2013
University: Anna University
Completed Date: 
Abstract: GRID computing is a collection of distributed heterogeneous resources which can be used as an ensemble to execute large-scale applications. With grid computing, organizations can optimize computing and data resources, pool them for large capacity workloads, share them across networks and enable collaboration. Many studies on Grid computing have been conducted, such as resource allocation, resource management, security, and Web Services. The algorithm which is proposed in this thesis maximizes the number of eligible tasks at every step of computation to make maximum utilization of resources and when Internet based Compute Scheduling is used, the chance of high production rates is possible which minimizes the GRID Lock. It was observed that this provision of a resource allocation scheme minimized cost in order to meet a user s job and increase the mutual-reliability among the users of the GRID. The observation made in the VGs is also explained in the chapters below. Grid networks, thanks to these computations, have dense traffic rates ranging in gigabits per second. Fast IP address lookup in the routers, which uses the datagram s destination address to determine for each datagram, the next hop, is therefore crucial to achieve the datagram forwarding rates required. Elevator Stairs Algorithm uses linear search at the k-level is modified to binary search. The remaining chapters of this thesis present a detailed study and analysis of Spur based policy involved in the VG interaction in a secured manner by the enhanced key agreement scheme and efficient IP Lookup algorithm to support the IC scheduling for task accomplishments in Grid ambience. A detailed comparison of the existing system is also presented along with the epilogue of the envisioned scheme. BOINC(Berkeley Open Infrastructure for Network Computing) Manager Version 6.10.18 has been used to illustrate the resource share for two projects namely SETIatHome and GPUGRID. newline newline newline
Pagination: xxi, 227
URI: http://hdl.handle.net/10603/13800
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File40.81 kBAdobe PDFView/Open
02_certificates.pdf160.53 kBAdobe PDFView/Open
03_abstract.pdf72.57 kBAdobe PDFView/Open
04_acknowledgement.pdf62.62 kBAdobe PDFView/Open
05_contents.pdf113.6 kBAdobe PDFView/Open
06_chapter 1.pdf369.21 kBAdobe PDFView/Open
07_chapter 2.pdf186.88 kBAdobe PDFView/Open
08_chapter 3.pdf509.82 kBAdobe PDFView/Open
09_chapter 4.pdf1.23 MBAdobe PDFView/Open
10_chapter 5.pdf690.28 kBAdobe PDFView/Open
11_chapter 6.pdf438.4 kBAdobe PDFView/Open
12_chapter 7.pdf82.02 kBAdobe PDFView/Open
13_appendices 1 to 4.pdf685.67 kBAdobe PDFView/Open
14_references.pdf114.74 kBAdobe PDFView/Open
15_publications.pdf79.54 kBAdobe PDFView/Open
16_vitae.pdf57.82 kBAdobe PDFView/Open


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