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The advent of generative networks and their adoption in numerous domains and communities have led to a wave of innovation and breakthroughs in AI and machine learning. Generative Adversarial Networks (GANs) have expanded the scope of what is possible with ...

Network flow traces are fundamental to many network management workflows. In this paper, we aim to generate high-fidelity network flow traces by explicitly modeling users' dynamic network usage intents. We propose NetDiff, a service-guided hierarchical ...

Profile-guided optimizations rely on profile data for directing compilers to generate optimized code. To achieve the maximum performance boost, profile data needs to be collected on the same version of the binary that is being optimized. In practice ...

File transfer is always handled by a separate service, sometimes it is a third-party service in videoconferencing. When sending files during a video session, file data flow and video stream are independent of each other. Encryption is a mature method to ...

For vehicle routing problems, strong dual bounds on the optimal value are needed to develop scalable exact algorithms as well as to evaluate the performance of heuristics. In this work, we propose an iterative algorithm to compute dual bounds motivated by ...

Mobility-on-demand (MoD) ridesharing is a promising way to improve the occupancy rate of personal vehicles and reduce traffic congestion and emissions. Maximizing the number of passengers served and maximizing a profit target are major ...$\frac{\mathrm{}}{\mathrm{}}$$\frac{\mathrm{}}{\mathrm{}}$$\mathrm{}$$$

Benders decomposition is one of the most applied methods to solve two-stage stochastic problems (TSSP) with a large number of scenarios. The main idea behind the Benders decomposition is to solve a large problem by replacing the values of the second-stage ...

A strongly polynomial algorithm is developed for finding an integer-valued feasible st-flow of a given flow amount, which is decreasingly minimal on a specified subset F of edges in the sense that the largest flow value on F is as small as possible; ...

Connected technologies have engendered a paradigm shift in mobility systems by enabling digital platforms to coordinate large sets of vehicles in real time. Recent research has investigated how a small number of connected vehicles may be coordinated to ...

In paper-based digital microfluidic biochips (P-DMFBs), conductive electrodes and control lines are printed on the same side of the photo paper, which introduces a critical design challenge on the so-called control interference issue. This introduces a ...

Anonymous Multi-Agent Path Finding (AMAPF) is the problem of planning conflict-free paths to a set of target locations for a group of agents, where each agent is not associated with a specific target. This paper studies AMAPF with Individual Deadlines (...

With the explosive growth of video and text data on the web, text-video retrieval has become a vital task for online video platforms. Recently, text-video retrieval methods based on pre-trained models have attracted a lot of attention. However, existing ...

In “Real-Time Spatial–Intertemporal Pricing and Relocation in a Ride-Hailing Network: Near-Optimal Policies and The Value of Dynamic Pricing,” Chen, Lei, and Jasin consider a dynamic pricing problem faced by a ride-hailing service provider who manages a ...

Motivated by the growth of ride-hailing services in urban areas, we study a (tactical) real-time spatial–intertemporal dynamic pricing problem where a firm uses a pool of homogeneous servers (e.g., a fleet of taxis) to serve price-sensitive customers (...

The data center is a large cluster system. The IT clusters provide users with various services and resources, which make decentralized energy consumption over the past come together, resulting in great energy consumption of the data center. ...

Android has become one of the most widely used operating systems for mobile platforms in the recent years. With its widespread adoption, it has also became the target of malicious applications' developers and cyber threats. This in turn has stimulated ...

The paper “An Optimal Control Framework for Online Job Scheduling with General Cost Functions,” by Etesami devises online speed-augmented competitive algorithms for minimizing the generalized completion time on a single and multiple unrelated machines for ...

We consider the problem of online job scheduling on a single machine or multiple unrelated machines with general job and machine-dependent cost functions. In this model, each job has a processing requirement and arrives with a nonnegative nondecreasing ...

Given a graph, densest subgraph search reports a single subgraph that maximizes the density (i.e., average degree). To diversify the search results without imposing rigid constraints, this paper studies the problem of anchored densest subgraph search (...

Clinical pathways outline standardized processes in the delivery of care for a specific disease. Patient journeys through the healthcare system, however, can deviate substantially from these pathways. Given the positive benefits of clinical pathways, it ...

We study the complexity of approximating the multimarginal optimal transport (MOT) distance, a generalization of the classical optimal transport distance, considered here between m discrete probability distributions supported each on n support points. ...

Botnets is one of the most serious attacks that cause irreversible damage to systems and networks, and it is important to detect and prevent botnets as attacks using them are constantly occurring. In the paper, the botnet detection method proposed so far ...