Dr. Vijay Srinivas Agneeswaran has a Bachelor’s degree in Computer Science and Engineering from SVCE, Madras University (1998), an MS (By Research) from IIT Madras in 2001, a PhD from IIT Madras (2008) and a post-doctoral research fellowship in the LSIR Labs, Swiss Federal Institute of Technology, Lausanne (EPFL). He has spent the last twenty plus years creating intellectual property and building data-based products in Industry and academia. He is currently head of cloud AI Research team at Microsoft Inc., Bangalore. He is building a world-class R and D team to help in creating IP for Microsoft in the area of machine intelligence. He is also working closely with Microsoft businesses to help unearth full value of AI for Azue as well as other key products. He was heading the ML platform and the data sciences foundations teams at Walmart in his previous role. He has five granted US patents as well as numerous other disclosures that have been filed in Indian and US Patent offices.
... Vijay Srinivas Agneeswaran Distributed Information Systems Lab (LSIR), School of Information ... more ... Vijay Srinivas Agneeswaran Distributed Information Systems Lab (LSIR), School of Information and Communication Sciences Swiss Federal Institute of Technology, Lausanne(EPFL), Switzerland. ... 5We are grateful to Dr. Rajkumar Buyya for providing us with these nodes. ...
Abstract: The power and flexibility of a distributed object system increases many fold if it allo... more Abstract: The power and flexibility of a distributed object system increases many fold if it allows objects to migrate across machines. CORBA, which is emerging as a standard for distributed object computing, currently lacks a proper mechanism for object migration. In ...
This paper makes a step in identifying the state of the art in semantic P2P systems. On one hand,... more This paper makes a step in identifying the state of the art in semantic P2P systems. On one hand, lot of research in the P2P systems community has focused on fault-tolerance and scalability, resulting in numberous algorithms, systems such as Chord, Pastry and P-Grid. These systems, however, have no notion of semantics and consequently, have difficulty in knowledge sharing. On the other hand, research in the semantic web community have focused on knowledge sharing among different nodes with possibly different schemas. These have tended to use centralized repositories. The obvious benefits of combining P2P and semantic systems would be to have large scale collection of structured data. Several recent efforts have focused on this combination. However, there have been no attempt to have these efforts grouped in one place for easy assimilation and for finding interesting future directions; this paper fills the gap.
Sriram Aananthakrishnan Sherif Abdelwahed Vijay Srinivas Agneeswaran Muhammad Aleem Nawab Ali Ath... more Sriram Aananthakrishnan Sherif Abdelwahed Vijay Srinivas Agneeswaran Muhammad Aleem Nawab Ali Athanasios Antoniou Anne Auger Jim Basney Leonardo Bautista Josep Ll. Berral Laurent Bobelin Ryan Braithwaite John Bresnahan Rodrigo N. Calheiros Miguel Camelo Ghislain Charrier Qian Chen Wei-Fan Chiang Nitin Chiluka Pierre-Nicolas Clauss Xabriel J. Collazo-Mojica Minh Quan Dang Thomas De Ruiter Simon Delamare Javier Delgado Benjamin Depardon Marcos Dias De Assuncao James Dinan Mohammed El Mehdi Diouri Bruno Donassolo Abhishek ...
Data management is a key aspect of any distributed system. This paper surveys data management tec... more Data management is a key aspect of any distributed system. This paper surveys data management techniques in various distributed systems, starting from Distributed Shared Memory (DSM) systems to Peer-to-Peer (P2P) systems. The central focus is on scalability, an important non-functional property of distributed systems. A scalability taxonomy of data management techniques is presented. Detailed discussion of the evolution of data management techniques in the different categories as well as the state of the art is provided. As a result, several open issues are inferred including use of P2P techniques in data grids and distributed mobile systems and the use of optimal data placement heuristics from Content Distribution Networks (CDNs) for P2P grids.
... Vijay Srinivas Agneeswaran Distributed Information Systems Lab (LSIR), School of Information ... more ... Vijay Srinivas Agneeswaran Distributed Information Systems Lab (LSIR), School of Information and Communication Sciences Swiss Federal Institute of Technology, Lausanne(EPFL), Switzerland. ... 5We are grateful to Dr. Rajkumar Buyya for providing us with these nodes. ...
Abstract: The power and flexibility of a distributed object system increases many fold if it allo... more Abstract: The power and flexibility of a distributed object system increases many fold if it allows objects to migrate across machines. CORBA, which is emerging as a standard for distributed object computing, currently lacks a proper mechanism for object migration. In ...
This paper makes a step in identifying the state of the art in semantic P2P systems. On one hand,... more This paper makes a step in identifying the state of the art in semantic P2P systems. On one hand, lot of research in the P2P systems community has focused on fault-tolerance and scalability, resulting in numberous algorithms, systems such as Chord, Pastry and P-Grid. These systems, however, have no notion of semantics and consequently, have difficulty in knowledge sharing. On the other hand, research in the semantic web community have focused on knowledge sharing among different nodes with possibly different schemas. These have tended to use centralized repositories. The obvious benefits of combining P2P and semantic systems would be to have large scale collection of structured data. Several recent efforts have focused on this combination. However, there have been no attempt to have these efforts grouped in one place for easy assimilation and for finding interesting future directions; this paper fills the gap.
Sriram Aananthakrishnan Sherif Abdelwahed Vijay Srinivas Agneeswaran Muhammad Aleem Nawab Ali Ath... more Sriram Aananthakrishnan Sherif Abdelwahed Vijay Srinivas Agneeswaran Muhammad Aleem Nawab Ali Athanasios Antoniou Anne Auger Jim Basney Leonardo Bautista Josep Ll. Berral Laurent Bobelin Ryan Braithwaite John Bresnahan Rodrigo N. Calheiros Miguel Camelo Ghislain Charrier Qian Chen Wei-Fan Chiang Nitin Chiluka Pierre-Nicolas Clauss Xabriel J. Collazo-Mojica Minh Quan Dang Thomas De Ruiter Simon Delamare Javier Delgado Benjamin Depardon Marcos Dias De Assuncao James Dinan Mohammed El Mehdi Diouri Bruno Donassolo Abhishek ...
Data management is a key aspect of any distributed system. This paper surveys data management tec... more Data management is a key aspect of any distributed system. This paper surveys data management techniques in various distributed systems, starting from Distributed Shared Memory (DSM) systems to Peer-to-Peer (P2P) systems. The central focus is on scalability, an important non-functional property of distributed systems. A scalability taxonomy of data management techniques is presented. Detailed discussion of the evolution of data management techniques in the different categories as well as the state of the art is provided. As a result, several open issues are inferred including use of P2P techniques in data grids and distributed mobile systems and the use of optimal data placement heuristics from Content Distribution Networks (CDNs) for P2P grids.
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