Search results
(1 - 16 of 16)
- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 IPRO Day Presentation Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
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- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 Midterm Report Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
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- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 Project Plan Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
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- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 Abstract Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
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- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 Poster Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
Show less
- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
Show less
- Title
- Decision Making Tool for Warehouse Logistics Pricing (semester?), IPRO 319: Warehouse Logistics Pricing IPRO 319 Final Report Sp07
- Creator
- Duong, Khanh, Egwu, Uchenna, Ma, Justin, Mcanally, Arthur, Mrozinski, Kristin, Oh, Douglas, Schwarz, Nickolay, Stone, Sarah, Sudar, Aleksandar, Yu, Hee Jeoung, Zavala, Arthur
- Date
- 2007-05, 2007-05
- Description
-
distribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a...
Show moredistribution operation which will aid companies seeking to outsource logistics operations. However, the team’s main objective is to add a Request for Proposal tool to the existing model allowing companies to determine the effectiveness of outsourcing different aspects of warehouse operations. This team hopes to generate willingness in its members to establish an environment conducive to team-oriented goals, as outlined in the objectives below. Successful completion of the goals presented here will require each participant to gain useful experience and knowledge regarding teamwork, inter-professional skills and specifically warehouse logistics pricing. For the spring semester, the team has set forth the following objectives: Analyze existing model (Shipping, Manufacturing, Transportation, etc.) in terms of being user-friendly and effectiveness at accurately predicting cost versus revenue and whether the operations input should be outsourced. Refine the current model given the suggestions of a surveyed group, not differentiating the contributions of the IPRO students from the software users. Research costs associated with logistic processes. Develop a multi-purpose activity outsourcing tool for common use called “Request for Proposal”.
Sponsorship: Warehouse Education and Research Council; The Kern Family Foundation via the National Collegiate Inventors & Innovators Alliance
Deliverables for IPRO 319: Decision Making Tool for Warehouse Logistics Pricing for the Spring 2007 semester
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 MidTerm Report Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Ethics Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Poster Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Project Plan Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Final Report Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 MidTerm Presentation Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
Show less
- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Final Presentaion Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
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- Title
- Ultra-High-Speed Market Data Ticker System (Semester Unknown) IPRO 313: Ultra-High-Speed Market Data Ticker System IPRO 313 Brochure Sp08
- Creator
- Duong, Khanh, Acuna-rohter, Jose, Anupoju, Tarun, Cooper, Lance, Kolodziej, Martin, Roytman, Konstantin, Shonubi, Oluwaseun, Kai Tan, Jing, Su Yoon, Jong
- Date
- 2008, 2008-05
- Description
-
The objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed...
Show moreThe objective of IPRO 313 is to create a high performance data ticker plant for our sponsor Townsend Analytics which needs to meet or exceed certain performance requirements. Ideally, The the data ticker plant has to have a sustained optimal throughput of three million price quotes per second – the current industry state of the art - and minimize with minimal latency while maintain specific constraints. Toward this end, the team will create a proof-of-concept data ticker plant that processes real data. The initial system will be used as a baseline on which optimizations to specific components will be made. The ticker plant aggregates streaming data for numerous global financial markets and disseminates the data to thousands of users in real time. The data is used in Townsend Analytics’ RealTick® Execution Management System (EMS), its flagship institutional product for the financial services industry. IPRO 313, Spring, 2008, builds on work done in the previous semester. Last Fall, IPRO 313 conducted background research on the market data systems and outlined a basic design and performance metrics for our system. Our goal with IPRO 313 during the Spring 2008 This semester, we will is to resume system development, implement and work on performance optimize a basic market data ticker systemimprovements, enhanced functionality, and more detailed benchmarks. Using past semester result, research and development, the group will refine the design, prototype development and benchmark testing. The intent is to also provide detailed performance metrics of the system. This will enable future optimizations and algorithmic enhancements to the system in order to increase system throughput while minimizing latency and variance.
Sponsorship: Illinois Institute of Technology
Deliverables
Show less