Systems and methods provide a parameterized scheduling system that incorporates end-user application awareness and can be used with scheduling groups that contain data streams from heterogeneous applications. Individual data queues within a scheduling group can be created based on application class, specific application, individual data streams or some combination thereof. Application information and Application Factors (AF) are used to modify scheduler parameters such as weights and credits to differentiate between data streams assigned to a scheduling group. Dynamic AF settings may adjust relative importance of user applications to maximize user Quality of Experience (QoE) in response to recurring network patterns, one-time events, application characteristics, protocol characteristics, device characteristics, service level agreements, or combinations thereof. Scheduling parameters may be dynamic and incorporate the notions of “duration neglect” and “recency effect” in an end-user's perception of video quality in order to optimally manage video traffic during periods of congestion.

According to some embodiments, battery charge management using a scheduling application is disclosed. A first parameter may be received from a scheduling application running on a mobile computing device having a battery pack. Based on at least the first parameter and battery pack data, a required charge percentage for the battery pack may be determined and the remaining capacity of the battery pack may be determined. If the remaining capacity of the battery pack is less than the required charge percentage, a charge termination voltage may be determined and the battery pack may be charged to the charge termination voltage.

A method and a radio network node for scheduling wireless devices. The node assigns, to each wireless device, a D2D pair out of the D2D pairs based on spatial compatibilities for each of the D2D pairs with respect to each wireless device. The node estimates, for each wireless device and the assigned D2D pair, a first respective throughput for cellular communication and D2D communication, and estimates, for each wireless device, a second respective throughput for only cellular communication. The node schedules one or more of the wireless devices of the cellular network based on the first and second respective throughputs. Each of the wireless devices is scheduled for cellular communication together with the D2D communication of the assigned D2D pair when the first respective throughput exceeds the second respective throughput, or for only cellular communication when the first respective throughput is below the second respective throughput.

Michael Trick talks about creating schedules for leagues.

The principal of a school in Kentucky went back to the drawing board on his school's schedule after hearing author Daniel Pink talk about what children really need.

In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consumption of a MEC network depends on volatile tasks that induces risk for energy demand estimations. As an energy supplier, a microgrid can facilitate seamless energy supply. However, the risk associated with energy supply is also increased due to unpredictable energy generation from renewable and non-renewable sources. Especially, the risk of energy shortfall is involved with uncertainties in both energy consumption and generation. In this paper, we study a risk-aware energy scheduling problem for a microgrid-powered MEC network. First, we formulate an optimization problem considering the conditional value-at-risk (CVaR) measurement for both energy consumption and generation, where the objective is to minimize the loss of energy shortfall of the MEC networks and we show this problem is an NP-hard problem. Second, we analyze our formulated problem using a multi-agent stochastic game that ensures the joint policy Nash equilibrium, and show the convergence of the proposed model. Third, we derive the solution by applying a multi-agent deep reinforcement learning (MADRL)-based asynchronous advantage actor-critic (A3C) algorithm with shared neural networks. This method mitigates the curse of dimensionality of the state space and chooses the best policy among the agents for the proposed problem. Finally, the experimental results establish a significant performance gain by considering CVaR for high accuracy energy scheduling of the proposed model than both the single and random agent models.

The number Covid-19 cases are rising by the, both globally and in India. Students are particularly facing the brunt of uncertainty arising from the partial lockdowns.

Check latest flight ticket cancellation policy, fee, and rules of Indigo: For bookings made between March 9, 2020 till March 31, 2020, for any travel date, one can reschedule your journey multiple times, without paying any change fee.

Air India has stated that if the flight is cancelled, flyers need not call Air India or Travel Agent through whom the tickets have been booked.

The airlines have said that they will not refund the money back for cancelled tickets and customers can get their tickets scheduled for the next available date.

Online Scheduling System version 1.0 suffers from an authentication bypass vulnerability.

Online Scheduling System version 1.0 suffers from a persistent cross site scripting vulnerability.

Online Scheduling System version 1.0 suffers from a remote SQL injection vulnerability.

Channel Seven has made a strategic scheduling change for the upcoming premiere date of House Rules: High Stakes, switching the air date to this coming Monday.

While Manchester City's clash with Sheffield Wednesday at Hillsborough took place on Wednesday night, United's game at Derby County was the last of the eight ties on Thursday.

An ITV spokesperson revealed that episodes planned to air around Easter will be shown on a different dates, after cutting back on their weekly broadcasts.

Countless engaged couples have had to postpone their weddings because of the coronavirus, and many are setting their new wedding dates for the second half of 2020 or the spring of 2021.But research indicates the pandemic won't be over by then, so couples could be forced to postpone again.Couples who choose to go through with a big wedding before there's a vaccine for the coronavirus could also be putting themselves and their guests at risk.It's best to wait to plan your wedding until there's a vaccine for the coronavirus, but there are still ways you can celebrate your marriage in the meantime.Visit Insider's homepage for more stories.Although the celebration itself is fun, planning a wedding is mostly exhausting.Engaged couples are consumed by their weddings in the weeks, months, and years

While Manchester City's clash with Sheffield Wednesday at Hillsborough took place on Wednesday night, United's game at Derby County was the last of the eight ties on Thursday.

French tennis federation's decision to postpone the French Open to late September amid the Covid-19 crisis was widely criticised because the new dates clashed with the hardcourt season.

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Last year, I wrote about how to schedule Jekyll posts using Netlify and AWS Lambda[^1]. I used that approach from the moment I wrote that blog post up until today. What changed? In the past year, GitHub has introduced GitHub Actions[^2], a way to run container jobs triggered by different GitHub events. One of those...

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