Mobile edge computing is an emerging technology to offer resource-intensive yet delay-sensitive applications from the of mobile networks, where a major challenge allocate limited resources competing demands. While prior works often make simplifying assumption that assigned different users are non-sharable, this does not hold for storage resources, interested in services (e.g., data analytics) based on same set data/code can share resource. Meanwhile, serving each user request also consumes...

Plug-in hybrid electric vehicles are expected to place a considerable strain on local electricity distribution networks, requiring charging be coordinated in order accommodate capacity constraints. We design novel online auction protocol for this problem, wherein vehicle owners use agents bid power and also state time windows which is available charging. This multi-dimensional mechanism domain, with having non-increasing marginal valuations each subsequent unit of electricity. In our design,...

We introduce a novel online mechanism that schedules the allocation of an expiring and continuously-produced resource to self-interested agents with private preferences. A key application our is charging pure electric vehicles, where owners arrive dynamically over time, each owner requires minimum amount charge by its departure complete next trip. To truthfully elicit agents' preferences in this setting, we new concept pre-commitment: Whenever agent selected, pre-commits vehicle reported but...

This paper introduces a novel intention-aware routing system (IARS) for electric vehicles. enables vehicles to compute policy that minimizes their expected journey time while considering the policies, or intentions, of other Considering such intentions is critical vehicles, which may need recharge en route and face potentially significant queueing times if choose same charging stations. To address this, computed takes into consideration predicted at stations, are derived from current The...

We develop an online mechanism for the allocation of expiring resource to a dynamic agent population. Each has non-increasing marginal valuation function resource, and upper limit on number units that can be allocated in any period. propose two versions truthful mechanism. modifies decisions greedy assignment algorithm by sometimes cancelling resources. One version makes this modification immediately upon decision while second waits until point at which departs market. Adopting prior-free...

The Internet of Vehicles aims to fundamentally improve transportation by connecting vehicles, drivers, passengers, and service providers together. Several new services such as parking space identification, platooning intersection control—to name just a few—are expected traffic congestion, reduce pollution, the efficiency, safety logistics transportation. Proposed end-user services, however, make extensive use private information with little consideration for impact on users third parties...

We explore the influence maximisation problem in networks with negative ties. Where prior work has focused on unsigned networks, we investigate need to consider ties while trying maximise spread a population - particularly under competitive conditions. Given signed network optimise strategies of focal controller, against competing network, using two approaches either controller uses sign-agnostic approach or they factor sign edges optimising their strategy. compare difference vote-shares (or...

In this article, we address the interrelated challenges of predicting user comfort and using to reduce energy consumption in smart heating, ventilation, air conditioning (HVAC) systems. At present, such systems use simple models when deciding on a set-point temperature. Being built broad population statistics, these generally fail represent individual users’ preferences, resulting poor estimates preferred temperatures. To issue, propose Bayesian Comfort Model (BCM). This personalised thermal...

Abstract Ensuring the trustworthiness of autonomous systems and artificial intelligence is an important interdisciplinary endeavour. In this position paper, we argue that endeavour will benefit from technical advancements in capturing various forms responsibility, present a comprehensive research agenda to achieve this. particular, ensuring reliability system can take advantage approaches for quantifying degrees responsibility coordinating tasks based on that. Moreover, deem that, certifying...

Web services promise to revolutionize the way computational resources and business processes are offered invoked in open, distributed systems, such as Internet. These described using machine-readable metadata, which enables consumer applications automatically discover provision suitable for their workflows at run-time. However, current approaches have typically assumed service descriptions accurate deterministic, so neglected account fact that these open systems inherently unreliable...

With the growing popularity of electric vehicles (EVs), number public charging stations is increasing rapidly, allowing drivers to charge their cars while parked away from home or en-route destination. However, as a full can take significant amount time, may face queues and uncertainty over availability facilities at different times. In this paper, we address problem by proposing novel, two-sided market for advance reservations, in which agents, representing EV owners, report preferences...

En-route charging stations allow electric vehicles to greatly extend their range. However, as a full charge takes considerable amount of time, there may be significant waiting times at peak hours. To address this problem, we propose novel navigation system, which communicates its intentions (i.e., routing policies) other drivers. Using these intentions, our system accurately predicts congestion and suggests the most efficient route user. We achieve by extending existing time-dependent...

We design new algorithms for the problem of allocating uncertain flexible, and multi-unit demand online given supply, in order to maximise social welfare. The can be seen as extensions expectation consensus from domain scheduling. is especially relevant future smart grid, where output renewable generators conventional supply need integrated matched non-preemptive demand. To deal with demand, generate multiple scenarios which then solved offline. Furthermore, we use a novel method reweighting...

The promise of smart cities offers the potential to change way we live, and refers integration IoT systems for people-centred applications, together with collection processing data, associated decision making. Central realization this are wearable autonomous computing systems. There considerable challenges that exist in space require research across different areas electronics computer science; it is multidisciplinary consideration novel paper. We consider these from perspectives, involving...