Projects:home - Revision history

Anthony at 12:11, 21 April 2015

2015-04-21T12:11:06Z

Anthony at 08:38, 28 June 2013

2013-06-28T08:38:58Z

Anthony at 14:06, 26 June 2013

2013-06-26T14:06:57Z

Anthony at 14:03, 26 June 2013

2013-06-26T14:03:34Z

Anthony: /* Graduate Initiatives */

2013-06-26T13:57:20Z

Graduate Initiatives

Anthony: /* Graduate Initiatives */

2013-06-26T13:57:00Z

Graduate Initiatives

Anthony at 13:55, 26 June 2013

2013-06-26T13:55:23Z

Anthony at 13:50, 26 June 2013

2013-06-26T13:50:37Z

Anthony at 13:49, 26 June 2013

2013-06-26T13:49:11Z

Anthony at 13:48, 26 June 2013

2013-06-26T13:48:30Z

@@ Line 8: / Line 8: @@
 |style="width: 30%;"|[[File:fame-logo.gif|150px|link=http://www.fame.ie/]]||[http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services]: A key challenge for the telecommunications industry is to deliver and manage end-to-end communications services over an interconnected, but heterogeneous, networking infrastructure. The SFI-funded Federated, Autonomic Management of End-to-end communication services (FAME) Strategic Research Cluster (SRC) will develop autonomic management solutions incorporating new semantic analysis techniques, that can be applied to build federated network and service management systems that understand changes in the environment and coordinate their actions to reconfigure network resources and services to effectively deliver services on an end-to-end basis. FAME brings together academics and industry specialists in the management of communications networks and services. This project is pushing the barriers of what is technically possible in terms of allowing forms of self-management, allowing some parts of a network, and some services that run on these networks, to “work out for themselves” what is needed to operate efficiently
 |-
-|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments] Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
+|style="width: 30%;"|[[File:lero_logo_new.png|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments] Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
 |-
-|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/rte]]||[http://www.lero.ie/project/rte RTE: Robust Testing of Cloud Infrastructures] Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests, and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems.
+|style="width: 30%;"|[[File:lero_logo_new.png|150px|link=http://www.lero.ie/project/rte]]||[http://www.lero.ie/project/rte RTE: Robust Testing of Cloud Infrastructures] Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests, and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems.
 |-
-|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/rca]]||[http://www.lero.ie/project/rca RCA: Expert Tools for Root Cause Analysis]: Enterprise applications typically can contain millions of objects and thousands of different types. A major issue in relation to these systems is that very often performance issues can occur during development and/or when the system is in production. These issues can lead to increased cost during the application development cycle and lost revenue in production. The aim of this research is to improve on current software tools that assist with monitoring, analysing and improving system performance.
+|style="width: 30%;"|[[File:lero_logo_new.png|150px|link=http://www.lero.ie/project/rca]]||[http://www.lero.ie/project/rca RCA: Expert Tools for Root Cause Analysis]: Enterprise applications typically can contain millions of objects and thousands of different types. A major issue in relation to these systems is that very often performance issues can occur during development and/or when the system is in production. These issues can lead to increased cost during the application development cycle and lost revenue in production. The aim of this research is to improve on current software tools that assist with monitoring, analysing and improving system performance.
 |-
-|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/traffic]]||[http://www.lero.ie/project/traffic TRAFFIC: Smart Routing and Data Management Systems] The primary objective of this work programme is to design and develop scalable communication and infrastructure management solutions. These solutions could support future systems associated with a “smart city” such as intelligent traffic management systems, waste systems, large-scale water schemes, energy infrastructures and telecommunications networks. Most of these systems will be required to collate, aggregate, and process large amounts of information sourced from heterogeneous sources and to perform smart routing of resources. In this context, algorithms,which relate and correlate large volumes of historic and real-time data are required. This work programme will deliver a scalable architecture to collect, aggregate, distribute, and consume heterogeneous information feeds and develop routing techniques for the resources.
+|style="width: 30%;"|[[File:lero_logo_new.png|150px|link=http://www.lero.ie/project/traffic]]||[http://www.lero.ie/project/traffic TRAFFIC: Smart Routing and Data Management Systems] The primary objective of this work programme is to design and develop scalable communication and infrastructure management solutions. These solutions could support future systems associated with a “smart city” such as intelligent traffic management systems, waste systems, large-scale water schemes, energy infrastructures and telecommunications networks. Most of these systems will be required to collate, aggregate, and process large amounts of information sourced from heterogeneous sources and to perform smart routing of resources. In this context, algorithms,which relate and correlate large volumes of historic and real-time data are required. This work programme will deliver a scalable architecture to collect, aggregate, distribute, and consume heterogeneous information feeds and develop routing techniques for the resources.
 |}

@@ Line 8: / Line 8: @@
 |style="width: 30%;"|[[File:fame-logo.gif|150px|link=http://www.fame.ie/]]||[http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services]: A key challenge for the telecommunications industry is to deliver and manage end-to-end communications services over an interconnected, but heterogeneous, networking infrastructure. The SFI-funded Federated, Autonomic Management of End-to-end communication services (FAME) Strategic Research Cluster (SRC) will develop autonomic management solutions incorporating new semantic analysis techniques, that can be applied to build federated network and service management systems that understand changes in the environment and coordinate their actions to reconfigure network resources and services to effectively deliver services on an end-to-end basis. FAME brings together academics and industry specialists in the management of communications networks and services. This project is pushing the barriers of what is technically possible in terms of allowing forms of self-management, allowing some parts of a network, and some services that run on these networks, to “work out for themselves” what is needed to operate efficiently
 |-
-|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments] Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
+|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments] Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
 |-
-|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/rte]]||[http://www.lero.ie/project/rte RTE: Robust Testing of Cloud Infrastructures] Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests, and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems.
+|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/rte]]||[http://www.lero.ie/project/rte RTE: Robust Testing of Cloud Infrastructures] Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests, and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems.
 |-
-|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/rca]]||[http://www.lero.ie/project/rca RCA: Expert Tools for Root Cause Analysis]: Enterprise applications typically can contain millions of objects and thousands of different types. A major issue in relation to these systems is that very often performance issues can occur during development and/or when the system is in production. These issues can lead to increased cost during the application development cycle and lost revenue in production. The aim of this research is to improve on current software tools that assist with monitoring, analysing and improving system performance.
+|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/rca]]||[http://www.lero.ie/project/rca RCA: Expert Tools for Root Cause Analysis]: Enterprise applications typically can contain millions of objects and thousands of different types. A major issue in relation to these systems is that very often performance issues can occur during development and/or when the system is in production. These issues can lead to increased cost during the application development cycle and lost revenue in production. The aim of this research is to improve on current software tools that assist with monitoring, analysing and improving system performance.
 |-
-|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/traffic]]||[http://www.lero.ie/project/traffic TRAFFIC: Smart Routing and Data Management Systems] The primary objective of this work programme is to design and develop scalable communication and infrastructure management solutions. These solutions could support future systems associated with a “smart city” such as intelligent traffic management systems, waste systems, large-scale water schemes, energy infrastructures and telecommunications networks. Most of these systems will be required to collate, aggregate, and process large amounts of information sourced from heterogeneous sources and to perform smart routing of resources. In this context, algorithms,which relate and correlate large volumes of historic and real-time data are required. This work programme will deliver a scalable architecture to collect, aggregate, distribute, and consume heterogeneous information feeds and develop routing techniques for the resources.
+|style="width: 30%;"|[[File:lero.png|150px|link=http://www.lero.ie/project/traffic]]||[http://www.lero.ie/project/traffic TRAFFIC: Smart Routing and Data Management Systems] The primary objective of this work programme is to design and develop scalable communication and infrastructure management solutions. These solutions could support future systems associated with a “smart city” such as intelligent traffic management systems, waste systems, large-scale water schemes, energy infrastructures and telecommunications networks. Most of these systems will be required to collate, aggregate, and process large amounts of information sourced from heterogeneous sources and to perform smart routing of resources. In this context, algorithms,which relate and correlate large volumes of historic and real-time data are required. This work programme will deliver a scalable architecture to collect, aggregate, distribute, and consume heterogeneous information feeds and develop routing techniques for the resources.
 |}

@@ Line 8: / Line 8: @@
 |style="width: 30%;"|[[File:fame-logo.gif|150px|link=http://www.fame.ie/]]||[http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services]: A key challenge for the telecommunications industry is to deliver and manage end-to-end communications services over an interconnected, but heterogeneous, networking infrastructure. The SFI-funded Federated, Autonomic Management of End-to-end communication services (FAME) Strategic Research Cluster (SRC) will develop autonomic management solutions incorporating new semantic analysis techniques, that can be applied to build federated network and service management systems that understand changes in the environment and coordinate their actions to reconfigure network resources and services to effectively deliver services on an end-to-end basis. FAME brings together academics and industry specialists in the management of communications networks and services. This project is pushing the barriers of what is technically possible in terms of allowing forms of self-management, allowing some parts of a network, and some services that run on these networks, to “work out for themselves” what is needed to operate efficiently
 |-
-|style="width: 30%;"|[[File:logentries.png|150px|link=https://logentries.com/]]||[https://logentries.com/ Logentries]: Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
+|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments] Understanding organization-wide hardware utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases and have not been designed to scale to manage entire IT infrastructures including desktops, laptops, servers, routers etc. This is an issue for many different domains (e.g. organizations with large IT infrastructures, cloud computing providers) where an understanding of how computer hardware is being utilized is essential for understanding business costs and future investment requirements. This research proposes to investigate, develop and deliver a solution to track utilization and efficiency of assets in heterogeneous environments.
 |-
-|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/mule]]||[http://www.lero.ie/project/mule MULE: Monitoring Utilisation of Large Environments]: "Logs collected in real time, analyzed, stored, and presented in a meaningful way. Anywhere. Anytime." Founded by Dr. Trevor Parsons and Dr. Viliam Holub, former PhD student and post-doc with us.
+|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/rte]]||[http://www.lero.ie/project/rte RTE: Robust Testing of Cloud Infrastructures] Currently much time is spent in setting up system tests, trying to understand exactly what is being tested, understanding errors that occur during tests, and verifying the test results. These issues can be especially difficult for distributed enterprise applications made up of a large number of software components that run on a collection of heterogeneous servers or cloud environments. Load generation for accurate simulation of complex user behaviour is a growing challenge when testing large-scale critical systems.
 |-
-|style="width: 30%;"|[[File:logentries.png|150px|link=https://logentries.com/]]||[https://logentries.com/ Logentries]: "Logs collected in real time, analyzed, stored, and presented in a meaningful way. Anywhere. Anytime." Founded by Dr. Trevor Parsons and Dr. Viliam Holub, former PhD student and post-doc with us.
+|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/rca]]||[http://www.lero.ie/project/rca RCA: Expert Tools for Root Cause Analysis]: Enterprise applications typically can contain millions of objects and thousands of different types. A major issue in relation to these systems is that very often performance issues can occur during development and/or when the system is in production. These issues can lead to increased cost during the application development cycle and lost revenue in production. The aim of this research is to improve on current software tools that assist with monitoring, analysing and improving system performance.
 |-
-|style="width: 30%;"|[[File:logentries.png|150px|link=https://logentries.com/]]||[https://logentries.com/ Logentries]: "Logs collected in real time, analyzed, stored, and presented in a meaningful way. Anywhere. Anytime." Founded by Dr. Trevor Parsons and Dr. Viliam Holub, former PhD student and post-doc with us.
+|style="width: 30%;"|[[File:images.jpeg|150px|link=http://www.lero.ie/project/traffic]]||[http://www.lero.ie/project/traffic TRAFFIC: Smart Routing and Data Management Systems] The primary objective of this work programme is to design and develop scalable communication and infrastructure management solutions. These solutions could support future systems associated with a “smart city” such as intelligent traffic management systems, waste systems, large-scale water schemes, energy infrastructures and telecommunications networks. Most of these systems will be required to collate, aggregate, and process large amounts of information sourced from heterogeneous sources and to perform smart routing of resources. In this context, algorithms,which relate and correlate large volumes of historic and real-time data are required. This work programme will deliver a scalable architecture to collect, aggregate, distribute, and consume heterogeneous information feeds and develop routing techniques for the resources.
 |}
 == Graduate Initiatives ==

@@ Line 7: / Line 7: @@
 |-
 |style="width: 30%;"|[[File:fame-logo.gif|150px|link=http://www.fame.ie/]]||[http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services]: A key challenge for the telecommunications industry is to deliver and manage end-to-end communications services over an interconnected, but heterogeneous, networking infrastructure. The SFI-funded Federated, Autonomic Management of End-to-end communication services (FAME) Strategic Research Cluster (SRC) will develop autonomic management solutions incorporating new semantic analysis techniques, that can be applied to build federated network and service management systems that understand changes in the environment and coordinate their actions to reconfigure network resources and services to effectively deliver services on an end-to-end basis. FAME brings together academics and industry specialists in the management of communications networks and services. This project is pushing the barriers of what is technically possible in terms of allowing forms of self-management, allowing some parts of a network, and some services that run on these networks, to “work out for themselves” what is needed to operate efficiently
 |-
 |style="width: 30%;"|[[File:logentries.png|150px|link=https://logentries.com/]]||[https://logentries.com/ Logentries]: "Logs collected in real time, analyzed, stored, and presented in a meaningful way. Anywhere. Anytime." Founded by Dr. Trevor Parsons and Dr. Viliam Holub, former PhD student and post-doc with us.
@@ Line 12: / Line 18: @@

← Older revision		Revision as of 13:57, 26 June 2013
Line 37:		Line 37:
	\|style="width: 30%;"\|[[File:TGIwebsitebanner.jpg\|150px\|link=http://www.tgi.ie/]]\|\|[http://www.tgi.ie/ TGI: The Telecommunications Graduate Initiative]: The Telecommunications Graduate Initiative is being undertaken by a consortium of leading Irish Universities and Institutes of Technology to greatly enhance the experience of students studying for PhD’s in topics related to Telecommunications. TGI is funded by the Higher Education Authority under the Programme for Research in Third-Level Institutions( PRTLI) Cycle 5 and co-funded under the European Regional Development Fund (ERDF).		\|style="width: 30%;"\|[[File:TGIwebsitebanner.jpg\|150px\|link=http://www.tgi.ie/]]\|\|[http://www.tgi.ie/ TGI: The Telecommunications Graduate Initiative]: The Telecommunications Graduate Initiative is being undertaken by a consortium of leading Irish Universities and Institutes of Technology to greatly enhance the experience of students studying for PhD’s in topics related to Telecommunications. TGI is funded by the Higher Education Authority under the Programme for Research in Third-Level Institutions( PRTLI) Cycle 5 and co-funded under the European Regional Development Fund (ERDF).
	\|}		\|}
−
−	~~=== [http://www.tgi.ie/ TGI: The Telecommunications Graduate Initiative] ===~~
−	The Telecommunications Graduate Initiative is being undertaken by a consortium of leading Irish Universities and Institutes of Technology to greatly enhance the experience of students studying for PhD’s in topics related to Telecommunications. TGI is funded by the Higher Education Authority under the Programme for Research in Third-Level Institutions( PRTLI) Cycle 5 and co-funded under the European Regional Development Fund (ERDF).
−
−	~~=== [http://www.ucd.ie/earth/graduatetraining/phdprogrammeinearthandnaturalsciences/earthandnaturalsciencesphdprojects/ ENS: PhD Programme in Earth and Natural Sciences] ===~~
−	The Earth and Natural Sciences Doctoral Studies Programme is the flagship studentship of the UCD Earth Institute. The Programme began with an intake of students in Spetember 2011 and is funded by the Higher Education Authority (HEA) through the Programme for Research at Third Level Institutions, Cycle 5 (PRTLI-5) and co-funded by the European Regional Development Fund (ERDF). The programme is designed to provied a structured, thematic learning experience for an initial cohort of 57 students. These students are funded for four years and are hosted at a variety of higher level institutions across Ireland. There is also strong collaboration with other partners in academia, agencies and industry.

@@ Line 33: / Line 33: @@
 {|width="100%" align="center" cellpadding="0" cellspacing="20" border="0"
-|style="width: 20%;"|[[File:9236152_orig.png|150px|link=http://www.ucd.ie/earth/graduatetraining/phdprogrammeinearthandnaturalsciences/earthandnaturalsciencesphdprojects/]]||[http://www.ucd.ie/earth/graduatetraining/phdprogrammeinearthandnaturalsciences/earthandnaturalsciencesphdprojects/ ENS: PhD Programme in Earth and Natural Sciences]: The Earth and Natural Sciences Doctoral Studies Programme is the flagship studentship of the UCD Earth Institute. The Programme began with an intake of students in Spetember 2011 and is funded by the Higher Education Authority (HEA) through the Programme for Research at Third Level Institutions, Cycle 5 (PRTLI-5) and co-funded by the European Regional Development Fund (ERDF). The programme is designed to provied a structured, thematic learning experience for an initial cohort of 57 students. These students are funded for four years and are hosted at a variety of higher level institutions across Ireland. There is also strong collaboration with other partners in academia, agencies and industry.
+|style="width: 20%;"|[[File:websiteBanner1.png|150px|link=http://www.ucd.ie/earth/education/phdprogrammeinearthandnaturalsciences/]]||[http://www.ucd.ie/earth/education/phdprogrammeinearthandnaturalsciences/ ENS: PhD Programme in Earth and Natural Sciences]: The Earth and Natural Sciences Doctoral Studies Programme is the flagship studentship of the UCD Earth Institute. The Programme began with an intake of students in Spetember 2011 and is funded by the Higher Education Authority (HEA) through the Programme for Research at Third Level Institutions, Cycle 5 (PRTLI-5) and co-funded by the European Regional Development Fund (ERDF). The programme is designed to provied a structured, thematic learning experience for an initial cohort of 57 students. These students are funded for four years and are hosted at a variety of higher level institutions across Ireland. There is also strong collaboration with other partners in academia, agencies and industry.
 |-
 |style="width: 30%;"|[[File:TGIwebsitebanner.jpg|150px|link=http://www.tgi.ie/]]||[http://www.tgi.ie/ TGI: The Telecommunications Graduate Initiative]: The Telecommunications Graduate Initiative is being undertaken by a consortium of leading Irish Universities and Institutes of Technology to greatly enhance the experience of students studying for PhD’s in topics related to Telecommunications. TGI is funded by the Higher Education Authority under the Programme for Research in Third-Level Institutions( PRTLI) Cycle 5 and co-funded under the European Regional Development Fund (ERDF).

@@ Line 1: / Line 1: @@
 __NOTOC__
-== Startups ==
+== Projects ==
 {|width="100%" align="center" cellpadding="0" cellspacing="20" border="0"
@@ Line 31: / Line 31: @@
 == Graduate Initiatives ==
 === [http://www.tgi.ie/ TGI: The Telecommunications Graduate Initiative] ===

@@ Line 6: / Line 6: @@
 |style="width: 20%;"|[[File:9236152_orig.png|150px|link=http://carmesh.eu/index.html]]||[http://carmesh.eu/index.html CARMESH]: The CARMESH project is committed to the design and commercialisation of technologies that will enable an integrated telematic services offering in a metropolitan area using a wireless mesh network as the backhaul. Wireless Network technologies improves overall communications and service delivery. Wireless mesh networks can cover large areas without requiring many interconnections into a wired infrastructure. Thus, wireless mesh networks can provide high quality services to automotive users at a low cost. Services can be managed and delivered in a centralized or distributed manner, depending on the nature of the application, providing a great flexibility when designing the service architecture unlike cellular networks where the service architecture has a more centralised nature). Furthermore, wireless mesh networks may be deployed by different stake holders (local authority, network operator, etc.) to deliver diverse services such as: City-wide ubiquitous Internet access to subscribers, access to local authority IT, alternative communication for city and safety services, etc.
 |-
-|style="width: 30%;"|[[File:geodealio.png|150px|link=http://pel.ucd.ie/index.php?title=Valorisation:home]]||[http://pel.ucd.ie/index.php?title=Valorisation:home geoDealio]: "came out of the simple idea of allowing businesses to easily and instantly advertise their latest deals to their customers." Founded by Dr. John Fitzpatrick, former PhD student and currently post-doc with us.
+|style="width: 30%;"|[[File:fame-logo.gif|150px|link=http://www.fame.ie/]]||[http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services]: A key challenge for the telecommunications industry is to deliver and manage end-to-end communications services over an interconnected, but heterogeneous, networking infrastructure. The SFI-funded Federated, Autonomic Management of End-to-end communication services (FAME) Strategic Research Cluster (SRC) will develop autonomic management solutions incorporating new semantic analysis techniques, that can be applied to build federated network and service management systems that understand changes in the environment and coordinate their actions to reconfigure network resources and services to effectively deliver services on an end-to-end basis. FAME brings together academics and industry specialists in the management of communications networks and services. This project is pushing the barriers of what is technically possible in terms of allowing forms of self-management, allowing some parts of a network, and some services that run on these networks, to “work out for themselves” what is needed to operate efficiently
 |-
 |style="width: 30%;"|[[File:logentries.png|150px|link=https://logentries.com/]]||[https://logentries.com/ Logentries]: "Logs collected in real time, analyzed, stored, and presented in a meaningful way. Anywhere. Anytime." Founded by Dr. Trevor Parsons and Dr. Viliam Holub, former PhD student and post-doc with us.
@@ Line 12: / Line 12: @@
 == [http://www.fame.ie/ FAME: Federated, Autonomic Management of End-to-end communication services] ==

@@ Line 3: / Line 3: @@
 == Startups ==
-{|width="100%" align="center" cellpadding="0" cellspacing="50" border="0"
+{|width="100%" align="center" cellpadding="0" cellspacing="30" border="0"
-|style="width: 30%;"|[[File:9236152_orig.png|150px|link=http://carmesh.eu/index.html]]||[http://carmesh.eu/index.html CARMESH]: The CARMESH project is committed to the design and commercialisation of technologies that will enable an integrated telematic services offering in a metropolitan area using a wireless mesh network as the backhaul. Wireless Network technologies improves overall communications and service delivery. Wireless mesh networks can cover large areas without requiring many interconnections into a wired infrastructure. Thus, wireless mesh networks can provide high quality services to automotive users at a low cost. Services can be managed and delivered in a centralized or distributed manner, depending on the nature of the application, providing a great flexibility when designing the service architecture unlike cellular networks where the service architecture has a more centralised nature). Furthermore, wireless mesh networks may be deployed by different stake holders (local authority, network operator, etc.) to deliver diverse services such as: City-wide ubiquitous Internet access to subscribers, access to local authority IT, alternative communication for city and safety services, etc.
+|style="width: 20%;"|[[File:9236152_orig.png|150px|link=http://carmesh.eu/index.html]]||[http://carmesh.eu/index.html CARMESH]: The CARMESH project is committed to the design and commercialisation of technologies that will enable an integrated telematic services offering in a metropolitan area using a wireless mesh network as the backhaul. Wireless Network technologies improves overall communications and service delivery. Wireless mesh networks can cover large areas without requiring many interconnections into a wired infrastructure. Thus, wireless mesh networks can provide high quality services to automotive users at a low cost. Services can be managed and delivered in a centralized or distributed manner, depending on the nature of the application, providing a great flexibility when designing the service architecture unlike cellular networks where the service architecture has a more centralised nature). Furthermore, wireless mesh networks may be deployed by different stake holders (local authority, network operator, etc.) to deliver diverse services such as: City-wide ubiquitous Internet access to subscribers, access to local authority IT, alternative communication for city and safety services, etc.
 |-
 |style="width: 30%;"|[[File:geodealio.png|150px|link=http://pel.ucd.ie/index.php?title=Valorisation:home]]||[http://pel.ucd.ie/index.php?title=Valorisation:home geoDealio]: "came out of the simple idea of allowing businesses to easily and instantly advertise their latest deals to their customers." Founded by Dr. John Fitzpatrick, former PhD student and currently post-doc with us.