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—We consider routing games where the performance of each user is dictated by the worst (bottleneck) element it employs. We are given a network, finitely many (selfish) users, each associated with a positive flow demand, and a load-dependent performance function for each network element; the social (i.e., system) objective is to optimize the performance of(More)
Current survivability schemes typically offer two degrees of protection, namely full protection (from a single failure) or no protection at all. Full protection translates into rigid design constraints, i.e., the employment of disjoint paths. We introduce the concept of tunable survivability that bridges the gap between full and no protection. First, we(More)
Topology control is the task of establishing an efficient underlying graph for ad-hoc networks over which high level routing protocols are implemented. The following design goals are of fundamental importance for wireless topologies: (1) low level of interference; (2) minimum energy consumption; (3) high spatial reuse; (4) connectivity; (5) planarity; (6)(More)
Unlike traditional routing schemes that route all traffic along a single path, multipath routing strategies split the traffic among several paths in order to ease congestion. It has been widely recognized that multipath routing can be fundamentally more efficient than the traditional approach of routing along single paths. Yet, in contrast to the(More)
We propose a new IT automation technology for configuration management: automatic baseline policy extraction out of the Configuration Management Data Base (CMDB). Whereas authoring a configuration policy rule manually is time consuming and unlikely to realize the actual state of the configurations in the overall organization, this new approach summarizes(More)
In deblurring an image, we seek to recover the original sharp image. However, without knowledge of the blurring process, we cannot expect to recover the image perfectly. We propose a deblurring method of a single-image where the blur kernel is directly estimated from highlight spots or streaks with high intensity value. These highlighted points can be(More)
We introduce a new method for discovering latent topics in sets of objects, such as documents. Our method, which we call PARIS (for Principal Atoms Recognition In Sets), aims to detect principal sets of elements, representing latent topics in the data, that tend to appear frequently together. These latent topics, which we refer to as `atoms', are used as(More)