Abstract. A novel framework for the design and analysis of energy-aware algorithms is presented, centered around a deterministic Bit-level (Boltzmann) Random Access Machine or BRAM...
Abstract. Many real world problems, e.g. personnel scheduling and transportation planning, can be modeled naturally as Constrained Shortest Path Problems (CSPPs), i.e., as Shortest...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Abstract. The collaboration between two intelligent agents can be greatly enhanced if a third agent, who has some understanding of the communication between the first two, interve...
Abstract. We argue that the needs of many classes of modern applications, especially those targeted at mobile or wireless computing, demand the services of content-based publish/su...