offloading

If there is a way to achieve, then How can I upload/download data after 30 minutes of app went backgrond?.Two things:iOS provides no general mechanism for an app to schedule itself to be resumed at a specific time.If an app is running, it has full access to the network, regardless of whether it’s in the foreground or background. The only gotcha is that devices with WWAN will typically shut down Wi-Fi when the device is locked.I’m confused about your upload requirement. If you’re suspended in the background there should be no need to upload data because you can’t possibly have generated new data that warrants uploading.As far as downloads are concerned, my standard recommendation in this space is to have your app offload the decision about what data needs to be dowloaded to a server. When the server decides that the app needs some data it can send it a silent push notification to the app, in response to which the app can kick off the download.IMPORTANT You can use silent push notifications as a mechan

Update: Refining the Architecture with LLMs (Gloss-to-Text) I've been refining the concept to make development faster and less data-dependent. Instead of trying to solve Continuous Sign Language Recognition purely through computer vision (which is extremely hard), we can split the workload. The Hybrid Pipeline Proposal: Vision Layer (ARKit): Focus strictly on Isolated Sign Recognition. The CoreML model only needs to identify individual signs (Glosses) based on the skeleton data. It treats gestures as Tokens. Input: Skeleton movement. Output: Raw tokens like [I], [WANT], [WATER], [PLEASE]. Logic Layer (LLM): We feed these raw tokens into an On-Device LLM (or API). Since LLMs excel at context and syntax, the model reconstructs the sentence based on the tokens. Input: [I] [WANT] [WATER] [PLEASE] Output: I would like some water, please. Why this is faster to build: We don't need a dataset of millions of complex sentences to train the Vision Model. We only need a dictionary of isolated signs. The grammar part is offloaded

Are all flows funneled through a single serial queue that calls into my subclass? Yes. Should I offload flow processing onto a concurrent queue and then pause the flow and return from my callback? Or just do all processing in the callbacks? It’s kinda up to you. Certainly, I wouldn’t use a concurrent queue for this because I wouldn’t use a concurrent queue for anything (-: See Avoid Dispatch Global Concurrent Queues. However, handing work out to your own code that has its own concurrency model is perfectly reasonable. Now, as to whether that’ll actually improve the performance, that’s a very different question, one that doesn’t have an easy answer. My experience is that most networking code is I/O bound, so getting more CPUs to work on the problem doesn’t help. However, the only way to know for sure is to measure and test. And once I return an allow/deny verdict for the flow … do I no longer see that flow's traffic in my content filter? Correct. What if multiple content filters are present? Are they

It is November 2020, and my Iphone 6s has just been reset to factory settings because of this. So, no, we cannot assume that Apple has fixed anything in the new updates, nor will they. I've been experience a slow decay of storage space on my, already too compact, 16gb phone. 6gb taken by the storage, so this phone is actually a 9gb phone, sold as a 16gb phone. Over the past 2 months my phone went from the occasional offloading of an app, to having almost 0gb of space. I was so confused, as apple does little to nothing to explain to their customers how to handle the defuncts in the system. I started using icloud, uploading everything possible to it. It did absolutely nothing, nothing at all. You have to go through absurd hoops and hurdles to export your iphone photo library into your computer and separate them from icloud, so that they won't disappear when you delete them off your phone. Learned that lesson before, should out to apple iCloud for losing 500-1000 of my pictures to iCloud in 2018. So, ev

No, atomicity doesn't change anything. The value of the property is a pointer (to a mutable array), so atomicity would protect only the accessing of the pointer, not the data structures pointed to.It's a complete waste of time looking for a generic solution, such as encasing random blocks of code in a synchronizing construct. You'll either leave hard-to-find bugs in the edge cases, or hard-to-find deadlocks.In this case, we can't even speculate on a real solution, because we don't know what's going on. We don't even know if scanQueue is serial or concurrent. We don't know what the point of using NSOperation is: is it to get parallel processing, to offload long tasks from the main thread, etc? Maybe NSOperation isn't the best API to use for this, perhaps direct use of GCD is easier. The code you showed has each NSOperation using, or not using, the resulting array of the previous operation, according to the timing of the block placed back on the main thread. We don't know the consequences of this sort

With respect, herein lies the issue. If you were to handle all touch detection only in the SKScene class, that would make it easier to determine which node should receive the touch. However, in any complex system, you would (at least in my opinion) distribute touch handling to objects themselves.For example, I have a Button class that I use in all my projects, which is subclassed from SKNode. Button receives and handles its own touches, so that such logic doesn't have to be repeated multiple times in each SKScene, in each project. Buttons tend to be important elements, so you're likely to find one in each SKScene in your project, making it highly efficient to offload this particular logic to the object class. So when I want to use a button, I instantiate Button in an SKScene, feed it the functionality I want it to perform upon touching and it works out of the box.Since touch handling is distributed, you can't really loop through and consider touch fallthrough per node. Consider a custom scroll view c

FSSupportsKernelOffloadedIO Oh, interesting. This actually came up when I filed a different bug where kernel offloaded IO wasn't working (FB17773100). At first it was closed because I didn't include that key (since it wasn't documented or in the template), but it still didn't work after adding that key until macOS 15.6 beta 3, where it's now fixed. Interesting to see that metadata{Read,Write} is linked to that at the moment. It was indeed the case that adding that key made it work. the FSKit team is working very hard to ship as many fixes as possible in macOS 15 (not just macOS 26) Yeah, I have noticed that the FSKit team has generally been quite responsive and good at updating the statuses of feedbacks I've filed recently. Highly appreciated, by the way! No, or at least not exactly... Interesting insight! I mostly come from a background (or lack thereof) where I kinda just started working with filesystem code first with FUSE as a small thing (for a school project) and found it interesting, then FSKi

I've also been seeing some other issues related to certain things I set in the FSKit API not showing up in statfs (mainly the volumeStatistics's blockSize and ioSize, FB21106711). Actually, I think the size problem might be on your side. So, first off, your test implementation is incomplete. This is the last message logged by your extension: 2025-11-20 12:56:06.891883-0800 FSKitSampleFilesystem: (FSKit) [com.apple.FSKit:default] -[FSModuleVolume(Project) getMaxFileSizeInBits]: Volume does not implement both maxFileSizeInBits and maxFileSize, while one of them must be implemented. Shortly after which, lifs (the kernel support KEXT for FSKit) logs: 2025-11-20 12:56:06.891917-0800 kernel: (lifs) lmp max_filesize 0x7fffffffffffffff 2025-11-20 12:56:06.891927-0800 kernel: (lifs) lifs_io_strategy_thread: thread starting for mount 2025-11-20 12:56:06.891936-0800 kernel: (lifs) Failed to open block device /dev/disk7, err: 16 2025-11-20 12:56:06.891937-0800 kernel: (lifs) unknown: isssd 0 devblksize 512 devreadsize

hi, i'll offer three suggestions. there's no need (or there may be, but not in this example) for User to be a class. make it a struct and kill the ObservableObject protocol. struct User: Identifiable { let id = UUID() var name: String init(name: String) { self.name = name } } treat the Users object as a viewModel, and when a change is made to a user's name, provide a method for the Users object to do that. class Users: ObservableObject { @Published var users: [User] init() { self.users = [ User(name: John Doe), User(name: Jane Doe) ] } func updateUsername(for user: User, to newName: String) { if let index = users.firstIndex(where: { $0.id == user.id }) { users[index].name = newName } } } and treat the UserDetailView to not be a live edit, but one where you have parameters users and user coming in; you offload the name you want to edit when the view comes on screen; and when you save the edit, ask the Users object to make that change for you. something like this (with the Save button now also dismissi

Hi, @DTS Engineer [quote='820617022, DTS Engineer, /thread/771298?answerId=820617022#820617022'] The queue architecture above handles this. Every queue has an associated dispatch queue, which lets you control parallel packet processing. [/quote] In the RSS feature of Windows (e.g., as described on the website https://learn.microsoft.com/en-us/windows-hardware/drivers/netcx/rsc-offload), the driver developer uses NET_ADAPTER_RECEIVE_SCALING_HASH_SECRET_KEY to request a hash key from the system. This hash key is then used with an algorithm to calculate a hash value, which determines the specific QueueID. Then, I reviewed this document IOUserNetworkRxSubmissionQueue/withpool As I understand it, if I need 4 queues, they can be created using withPool to initialize IOUserNetworkPacketQueueId queueId[0~3]. Each queue extracts packets from the same IOUserNetworkPacketBufferPool, with capacity and bufferCount set as uint32_t capacity, uint32_t bufferCount. However, I am uncertain how to declare or assign valu

So, let me get the bug out of the way first: I reported this as a bug (FB18614667), but also wanted to ask here in case this is actually just me doing There are actually two bugs here: FSSupportsKernelOffloadedIO is the Info.pist key that marks whether or not to use FSVolumeKernelOffloadedIOOperations to shift file I/O into the kernel. We haven't actually documented that key, but there's actually a more general bug on that (r.156162068), which is to consolidate and document all the FSKit's Info.plist keys. That Info.plist key is currently restricting the metadataRead/Write APIs, which it really shouldn't (r.155070316). That is, you should be able to use metadataRead/Write, even if you don't offload I/O. I can't comment on our release schedule, but the fix is straightforward and the FSKit team is working very hard to ship as many fixes as possible in macOS 15 (not just macOS 26). In terms of what you do now: Once #2 is fixed, I believe your code will “just work”. I think it's perfectly reasonable to a