A resource optimization framework to achieve an optimal tradeoff between end-to-end delay robustness and network throughput is proposed. The selection of the objective function for delay robustness, providing the desired tradeoff, is based on the sensitivity analysis. For maximizing the network throughput an effective link transmission rate based power control problem is solved. We then extend ...

The rate-regulation tradeoff, defined between two objective functions, one penalizing the packet rate and regulation cost, can express fundamental performance bound of networked control systems. However, characterization set globally optimal solutions in this tradeoff for multidimensional Gauss–Markov processes has been an open problem. In article, we characterize a policy profile that belongs ...

We consider the problem of scheduling n jobs without precedence constraints on m uniform machines (i.e., the machines are identical except for speed), with preemptions allowed at no cost. We are interested in generating the entire tradeoff curve of schedules which are Pareto-optimal (undominated) for the flowtime and makespan objectives. To achieve this, we first develop an O(mn) algorithm that...

A versatile scheduling problem to model a three-way tradeoff between age of information (AoI), quality/distortion, and energy is considered. The considered called the quality (AQI) select which packets transmit at each time slot minimize linear combination utility driven by quality, AoI, transmission cost in an online fashion. AQI combines tradeoffs from some important distinct problems, such a...

Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can create performance bottlenecks by consuming valuable bandwidth. Therefore, there is a tradeoff between the utility attained by communication and its cost. Here we address this tradeoff by developing a novel strategy to make...

Making the transition from simulation to reality in evolutionary robotics is known to be challenging. What is known as the reality gap, summarizes the set of problems that arises when robot controllers have been evolved in simulation and then are transferred to the real robot. In this paper we study an additional problem that is beyond the reality gap. In simulations, the robot needs no protect...

We have developed a social optimization model that integrates wastewater treatment cost function and ecosystem damage cost function. The social optimal abatement level of water pollution is determined by finding the tradeoff between pollution control cost and ecosystem damage. The model is applied to data from the Lake Taihu region in China to demonstrate this tradeoff. A wastewater treatment c...

AbstractThis research was conducted on The Malay community of Mempawah. purpose ofthe to know the people's rational behavior among someaspects such as tradeoff, opportunity cost, marginalism, and incentive. This researchwas qualitative with phenomenological approach. samples were 14 peopletaken using snowball sampling technique. Based result, aspect tradeoffoccurred in some cases consideration ...

Aggregate window queries return summarized information about objects that fall inside a query rectangle (e.g., the number of objects instead of their concrete ids). Traditional approaches for processing such queries usually retrieve considerable extra information, thus compromising the processing cost. The paper addresses this problem for planar points from both theoretical and practical points...