Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Large-scale, value-added Internet services composed of independent cooperating or competing services will soon become common place. Several groups have addressed the performance, c...
Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
This paper deals with a new pricing approach in utility fair networks, where the user’s application is associated with a utility function. We allow users to have concave as well...
This paper presents a new method for computing the integer hull of a parameterized rational polyhedron by introducing the concept of periodic polyhedron. Besides concerning general...