Our explainer video shows how you can distribute content to anyone, whether they are employees, customers, friends, or interested viewers. See how SWRM Labs makes it easy to stream, publish, or deploy your latest application on our blockchain CDN.
A great CDN service needs great administrative tools. In this explainer video, Robert Binning shows how to manage and edit your critical admin functions. Adding and deleting users and modifying project access rights are simple tasks with the SWRM Labs CDN.
SWRM Labs makes it simple for artists, creators, and publishers to share and distribute their content - video, games, updates, and more. In this explainer video, Robert Binning explains how to get started by uploading your files into our blockchain CDN.
It has been a year since StreamSpace described its architecture for a new distributed CDN supported by blockchain technologies like IPFS and Hedera Hashgraph. In this time, we built development, test, and operations teams, and we now have a working testnet for passing files between publishers, nodes, and end users.
The new StreamSpace CDN features two key modes:
· a web-based mode, where customers can upload content files, manage organization access rights, track content popularity and usage, pay bills, along with numerous other features
· a desktop-based mode, where storage hosts, who we call “cachers,” can allocate storage capacity, earn tokens based on content throughput, and manage their token wallets
Here are a few of the use cases for StreamSpace’s new CDN:
1. 4K and VR video streaming. Traditional CDNs cannot support large numbers of end users stressing local servers for high bandwidth content, but a distributed mesh of peers can swarm content to end users from dozens of local servers to deliver the streams with higher end user satisfaction levels.
2. Mass deployment of IoT software updates. When time to “first frame” is less important, but total file delivery time and reliability is critical, a distributed CDN can really pay off. StreamSpace provides a permanent record of all file transfers, certifying both the transmission and successful update registration from millions of clients. StreamSpace’s thousands to millions of nodes help to reduce latency by sending file shards from any nearby peer node that holds any of the file shard fragments; they are reassembled at the client interface, and thereby limited in speed only by the client access link.
3. Non-commodity or blockchain-powered p2p marketplaces. There are hundreds of examples of marketplaces for unique goods and services, from eBay and Etsy to Fiverr and Tinder; specific transactions between sellers and buyers cannot be easily replicated, and the goods or services might be completely unique and irreproducible. Conventional centralized marketplaces such as the environments listed above charge between 3–15% commission for enabling the transaction, often bundling other financial or insurance services based on their brands. Transitioning to peer to peer services moves more control back to the buyers and sellers themselves, with blockchain proofs to certify the successful completion of all transactions. StreamSpace can support p2p markets with secure file and token transfers between buyers and sellers.
StreamSpace also offers a valuable proposition for data center operators and businesses or individuals with excess storage available and with reliable broadband connectivity. The StreamSpace “cachers” earn 1 SSH token for every 50 GB file transfer through their hosts. Popular content served dozens to thousands of times can provide a significant revenue stream for partners. Trading for the StreamSpace tokens is supported through several crypto exchanges around the world, and the StreamSpace ecosystem uses external exchange transfers to complete our dynamic tokenomics ecosystem. This ensures that cachers recognize income from their participation in our network, not just accumulate tokens.
Over the next few months, we will be rolling out our testnet to potential customers and cachers. If you are interested in exploring our service, check out our website stream.space and our social media pages, and let us know that you would like to join our revolution by submitting our “Cacher Survey” form at https://forms.gle/Ldi8U7emFtZbNCw88. Thanks!!!
StreamSpace social media pages:
- Twitter: https://twitter.com/StreamSpaceInfo
- Medium: https://medium.com/@stream_space
- LinkedIn: https://www.linkedin.com/company/25019799
StreamSpace website: https://stream.space
Video has completely transformed the way people are entertained and informed, so it makes sense that video has driven the internet to include a superstructure of interlinked private content delivery networks, or CDNs. The huge bandwidth requirements imposed by the shift from static webpages and file downloads to video streaming forced service providers to push the most likely and popular content to the edges of the network, reducing the median time to buffer and launch the content from 20–40 seconds in the 1990s with dial-up access points down to less than 4 seconds today.
Superior content delivery performance
Video buffer incidents are often quite minor, but even one buffer delay leads viewers to reduce the time they spend on that content by 39% according to MUX. Akamai found that streaming video viewers start to abandon content when it takes just two seconds to launch; after 11 seconds launch delay, fifty percent of videos are abandoned.
Decentralization allows CDNs to scale from tens or hundreds of edge sites to thousands or potentially millions of nodes. With blockchain CDNs, the nearest content node could be as close as down the hall or next door; launch delays may be reduced to fractions of a second.
Lower capital investment and cost to serve
Conventional CDN architectures are planned to accommodate peak traffic loads with sub-second delays, so it should not come as a surprise that most servers in typical CDNs see very light loading under normal conditions. All that capacity comes at a price.
Decentralized, tokenized CDNs follow the Uber or Airbnb model instead: private owners offer their excess storage and communications capacity in return for a reasonable per-use compensation. Other than infrastructure equipment vendors, everyone wins in a shared-economy market: the CDN supplier foregoes the capital costs, the storage contributors offset some of their sunk costs, customers see lower prices for equivalent services, and new customers can explore a service they might never have considered.
One fundamental benefit of shared economy services is that participants can easily enter and leave a sharing service because the barriers of entry and exit are low. The cost and time to sign on with a shared economy service is usually very low, assuming the participant complies with local regulations. If an Uber driver finds a more lucrative full-time job, he can scale back his hours working for Uber or stop entirely. If an Airbnb host finds a full-time tenant or needs that space room for something else, she can simply block an extended period from booking through the service or drop out entirely. Similarly, a business or individual that wants to enroll and earn tokens by sharing excess IT capacity can opt into the StreamSpace CDN network quickly and easily. The two keys to maximizing token earnings are (1) choosing the most popular content to store and serve, and (2) having an optimal location, near the end users for that content. While anecdotes about expensive duds are famous, the recipes for hit movies and popular short-form YouTube videos are actually quite well known: Tell a great story, execute the production professionally, and promote the offering with a brand or image that people can recognize.
Another chief reason why video service providers adopt CDNs is to improve security, especially DDOS attack denial, since the CDN content is replicated across a large number of servers. Blockchain storage architectures such as IPFS extend that power through decentralized content replication, with an added security advantage: the blockchain stores an encrypted hash address, so only the keyholders can access the content. Only whitelisted servers are allowed to connect to a private IPFS network, reducing the risk even further. Finally, the StreamSpace CDN further breaks the video content into shards, file segments that individually are meaningless, but which combine to make a seamless video experience.
8K Virtual reality (VR) content has 25x the data density of conventional 720p HD video content and 4x the density of 4K video. Today’s conventional CDNs often struggle to support 4K video files, which require 30–50 Mbps transfer speeds; 8K VR content requires 128–200 Mbps connectivity. As more people adopt VR, we will see an explosion in VR content sharing, just as we now see 50–100% annual increases in demand for 4K video. And beyond 8K VR lie even richer media structures, like “6 Degrees of Freedom” (6DOF) and Lightfield content, which require 1–5Gbps connectivity or higher. Live media streaming adds an extra wrinkle, where content loss is more acceptable than buffer delay; extraordinarily rich VR live streaming places the viewer directly into a scene to interact with other participants to enable new and powerful experiences.
A world of distributed applications (or DApps) is just emerging to take advantage of IPFS and similar decentralized network structures. StreamSpace is exploring a range of dApps and encouraging content developers to build DApps that support the IPFS ecosystem.
StreamSpace, a blockchain startup based in Austin Texas, believes that its decentralized video content delivery network can reduce the cost to serve content by 50–70% compared to conventional CDNs. Not only does this provide an economic advantage to video creators and distributors, the StreamSpace CDN also provides an income stream for content curators who participate by contributing underutilized storage. Join the discussion with StreamSpace through our social media channels.
1. Dahl, Jon. MUX, https://mux.com/blog/buffering-reduces-video-watch-time-by-40-according-to-research/, Sept 14, 2016.
2. Krishnan, S. Shumuga and Sitaraman, Ramesh K. “Video Stream Quality Impacts Viewer Behavior: Inferring Causality Using Quasi-Experimental Designs,” https://www.akamai.com/kr/ko/multimedia/documents/technical-publication/video-stream-quality-impacts-viewer-behavior-inferring-causality-using-quasi-experimental-designs-technical-publication.pdf,IMC’12,November 14–16, 2012, Boston, Massachusetts, 2012.