This dissertation studies a general class of resource allocation games in computer systems. The applications of these games include sharing network bandwidth, scheduling jobs in data centers and distributing click-through resources in sponsored search. The main focus of the dissertation is the revenue that can be obtained by providers. We investigate the revenue of proportional sharing under a symmetry condition among users, and show how to modify this mechanism to get a competitive revenue without the symmetry condition. We study the weighted proportional sharing mechanism as a natural extension of fair sharing to capture the incentives of revenue maximizing providers
Resource allocation is one of the most widely addressed topics in computer science. Its importance l...
Developments in information technology have necessitated dynamic distributed real-time allocation of...
This thesis presents flexible abstractions for specifying resource management policies, together wit...
We study the problem of allocating shared resources, such as bandwidth in computer net-works and com...
Abstract. Resource allocation is one of the most relevant problems in the area of Mechanism Design f...
The proceeding at: Second International Conference,Networked Systems (NETYS 2014), took place 2014....
International audienceIn networking and computing, resource allocation is typically addressed using ...
Motivated by cloud-based computing resources operating with relative priorities, we investigate the ...
International audienceMotivated by cloud-based computing resources operating with relative prioritie...
We propose an economics-oriented cloud computing resources allocation strategy with the use of game ...
Abstract Resource allocation is one of the most relevant problems in the area of Mechanism Design fo...
Abstract — One of the challenges facing the networking industry today is to increase the profitabili...
Large scale distributed computing infrastructures pose challenging resource management problems, whi...
Cloud computing is a newly emerging paradigm in which a client pays as it uses computing resources o...
Enterprises are facing a challenging dilemma. In order to be able to accommodate peak loads on their...
Resource allocation is one of the most widely addressed topics in computer science. Its importance l...
Developments in information technology have necessitated dynamic distributed real-time allocation of...
This thesis presents flexible abstractions for specifying resource management policies, together wit...
We study the problem of allocating shared resources, such as bandwidth in computer net-works and com...
Abstract. Resource allocation is one of the most relevant problems in the area of Mechanism Design f...
The proceeding at: Second International Conference,Networked Systems (NETYS 2014), took place 2014....
International audienceIn networking and computing, resource allocation is typically addressed using ...
Motivated by cloud-based computing resources operating with relative priorities, we investigate the ...
International audienceMotivated by cloud-based computing resources operating with relative prioritie...
We propose an economics-oriented cloud computing resources allocation strategy with the use of game ...
Abstract Resource allocation is one of the most relevant problems in the area of Mechanism Design fo...
Abstract — One of the challenges facing the networking industry today is to increase the profitabili...
Large scale distributed computing infrastructures pose challenging resource management problems, whi...
Cloud computing is a newly emerging paradigm in which a client pays as it uses computing resources o...
Enterprises are facing a challenging dilemma. In order to be able to accommodate peak loads on their...
Resource allocation is one of the most widely addressed topics in computer science. Its importance l...
Developments in information technology have necessitated dynamic distributed real-time allocation of...
This thesis presents flexible abstractions for specifying resource management policies, together wit...