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Assessing GridSim for modeling the global distribution of next-generation astronomy data
The transfer of big data between geographic locations incurs various costs that are better managed when computing resources are used efficiently. Measuring the energy used by a computing facility is a mechanism for managing computational efficiency because the energy provided to the facility can be...
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| Format: | Thesis |
| Language: | English English |
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Department of Computer Science
2026
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| _version_ | 1867613215776571392 |
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| access_status_str | Open Access |
| author | Tunbridge, James K |
| author2 | Simmonds, Robert |
| author_browse | Simmonds, Robert Tunbridge, James K |
| author_facet | Simmonds, Robert Tunbridge, James K |
| author_sort | Tunbridge, James K |
| collection | Thesis |
| description | The transfer of big data between geographic locations incurs various costs that are better managed when computing resources are used efficiently. Measuring the energy used by a computing facility is a mechanism for managing computational efficiency because the energy provided to the facility can be measured and managed. The Square Kilometer Array (SKA) radio telescope will share large volumes of science-ready astronomical data with the project collaborating partners. This dissertation attempts to address the weaknesses of the GridSim simulation toolkit for the configuration of the SKA data grid. Some of the GridSim features suited for the simulation project are: a) a network extension claiming realistic network communication; b) an extendable application programming interface because of the Java programming language; c) a datagrid extension that simulates distributed data storage, and tasks for managing the distributed files; d) packet- and flow-level network extensions and e) GridSim is used in simulations of similar real-world networks e.g., the Australian GrangeNet Gigabit network. GridSim was built primarily for modeling resources and application scheduling of parallel computing and distributed computation grids, and to assess different job scheduling policies. The SKA wide area collaborative network will send data to its distributed partners who have their own network and energy-related policies. This work proposes a design to implement, in GridSim, a prototype of the end-to-end energy cost model for large scale networks, ECOFEN (Orgerie, 2015). The purpose of this work being to demonstrate the utility of the GridSim toolkit in spite of a few known problems with the software. Invalidation exercises were performed to determine the cause of lost events in a network extension simulation, and to assess the implementation of the Routing Information Protocol, in GridSim, in multiple executions of the same simulation and configuration. In this work, GridSim simulations lose events for which a solution is suggested. In addition, the work found that routing tables do not always contain matching shortest path information for multiple executions of a simulation. The implementation of the proposed design for an ECOFEN model extension in GridSim is a project for future work after one unsuccessful attempt to implement the model in GridSim. This work considered other simulation tools as potential alternatives to the GridSim toolkit, finding SimGrid to be a likely candidate. Modern computational systems are just too complex for popular software simulation tools to copy dependably which has supported a return to live network emulation testbeds for the accurate and scalable modeling of real-world systems. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/42729 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:32:36.207Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/42729 Assessing GridSim for modeling the global distribution of next-generation astronomy data Tunbridge, James K Simmonds, Robert Astronomy big data Datagrid ECOFEN GridSim SimGrid SimJava simulation SKA Square Kilometer Array Radio Telescope VLBA VLBI The transfer of big data between geographic locations incurs various costs that are better managed when computing resources are used efficiently. Measuring the energy used by a computing facility is a mechanism for managing computational efficiency because the energy provided to the facility can be measured and managed. The Square Kilometer Array (SKA) radio telescope will share large volumes of science-ready astronomical data with the project collaborating partners. This dissertation attempts to address the weaknesses of the GridSim simulation toolkit for the configuration of the SKA data grid. Some of the GridSim features suited for the simulation project are: a) a network extension claiming realistic network communication; b) an extendable application programming interface because of the Java programming language; c) a datagrid extension that simulates distributed data storage, and tasks for managing the distributed files; d) packet- and flow-level network extensions and e) GridSim is used in simulations of similar real-world networks e.g., the Australian GrangeNet Gigabit network. GridSim was built primarily for modeling resources and application scheduling of parallel computing and distributed computation grids, and to assess different job scheduling policies. The SKA wide area collaborative network will send data to its distributed partners who have their own network and energy-related policies. This work proposes a design to implement, in GridSim, a prototype of the end-to-end energy cost model for large scale networks, ECOFEN (Orgerie, 2015). The purpose of this work being to demonstrate the utility of the GridSim toolkit in spite of a few known problems with the software. Invalidation exercises were performed to determine the cause of lost events in a network extension simulation, and to assess the implementation of the Routing Information Protocol, in GridSim, in multiple executions of the same simulation and configuration. In this work, GridSim simulations lose events for which a solution is suggested. In addition, the work found that routing tables do not always contain matching shortest path information for multiple executions of a simulation. The implementation of the proposed design for an ECOFEN model extension in GridSim is a project for future work after one unsuccessful attempt to implement the model in GridSim. This work considered other simulation tools as potential alternatives to the GridSim toolkit, finding SimGrid to be a likely candidate. Modern computational systems are just too complex for popular software simulation tools to copy dependably which has supported a return to live network emulation testbeds for the accurate and scalable modeling of real-world systems. 2026-01-28T10:47:16Z 2026-01-28T10:47:16Z 2025 2026-01-28T10:44:19Z Thesis / Dissertation Masters MPhil http://hdl.handle.net/11427/42729 en eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Astronomy big data Datagrid ECOFEN GridSim SimGrid SimJava simulation SKA Square Kilometer Array Radio Telescope VLBA VLBI Tunbridge, James K Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| thesis_degree_str | Master's |
| title | Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| title_full | Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| title_fullStr | Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| title_full_unstemmed | Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| title_short | Assessing GridSim for modeling the global distribution of next-generation astronomy data |
| title_sort | assessing gridsim for modeling the global distribution of next generation astronomy data |
| topic | Astronomy big data Datagrid ECOFEN GridSim SimGrid SimJava simulation SKA Square Kilometer Array Radio Telescope VLBA VLBI |
| url | http://hdl.handle.net/11427/42729 |
| work_keys_str_mv | AT tunbridgejamesk assessinggridsimformodelingtheglobaldistributionofnextgenerationastronomydata |