by Josh Miner, Director of Product Marketing, Fusion-io
A Frost & Sullivan report recently projected growth in video delivery alone to reach $1 billion dollars by 2013. Consumers all over the world are seeking the same content simultaneously from a host of devices. Content Delivery Networks (CDNs) are an essential tool for delivering this information as efficiently as possible. Most networks geographically position servers to host relevant content near requestors to minimize latency as well as to distribute bandwidth needs across multiple sites. Because CDNs were created to improve the user experience, they are a natural fit for flash memory, if implemented the right way.
- Streaming more content, faster
- Cooling cache pool costs
- Faster, smarter content serving
Streaming More Content, FasterCDNs typically cache as much content as they can on pooled RAM in large server farms. Applications dynamically shuffle “hot” content from disk to RAM and move “cooler” content to disks. As with any cache, the more data you can put in it, the better your service levels.
The problem is that the cost both to purchase the RAM and to maintain continually growing infrastructure, grows at a faster pace than the company’s user-base and content library. Consequently, CDNs must limit the amount of content they keep in RAM—and cache misses can cripple performance if, as is often the case, some piece of cooler content unexpectedly goes viral.
Flash enables much more data to be stored in each server so that CDNs can ensure high service levels as user-bases and content libraries grow. Low latency flash devices have an added benefit of minimizing queuing—making content servers much more resilient to traffic spikes.
“Our total frequently-accessed music cache now holds 10 times the songs it used to, which both enhances existing user experience and gives us plenty of headroom for future growth.”
Aaron Porter, Director of System Administration, Pandora Pandora, the leading personalized Internet radio station, added flash to its caching servers to achieve impressive results. Aaron Porter, Director of System Administration for Pandora said, “The [flash devices] perform as well as our RAM caches, but offer 10 times the capacity per server. Our total frequently-accessed music cache now holds 10 times the songs it used to, which both enhances existing user experience and gives us plenty of headroom for future growth.”
Similarly, Dwango, who some call the “YouTube” of Japan, added flash to its video-sharing caching servers. Tetsuya Sato, Infrastructure Manager for Dwango’s Nico-Nico Douga said, “Hot videos can be viewed by tens of thousands of simultaneous users. The [flash devices] have allowed us to support these traffic spikes with just four to five servers at the most. This allows us to guarantee our customers a predictably high experience for all content, regardless of popularity, and without the over-provisioning we used to need.”
Cooling Cache Pool CostsAs just mentioned, the cost to scale and maintain RAM cache pools is a primary constraint for CDNs. If, like Pandora, you can store 10 times the songs per server, you can maintain existing service levels over the same data, on 1/10th the servers. CDNs typically strike a balance between adding capacity for more cache and future cache growth, while consolidating existing infrastructure. In fact, many CDNs are finding that they can do without as many RAM-heavy servers and rely primarily on flash for content hosting.
Pandora’s Aaron Porter said Pandora cut its existing cache footprint by 40%. On top of this, it greatly reduced future scale out costs. First, it extended the life of its existing storage. Aaron said, “We have stopped purchasing SAS spindles for content delivery, which has extended the usable life of our disk-based systems by months, if not years,” Aaron said. “In the first quarter that we’ve run them, the [flash devices] allowed us to delay purchasing 50 disk-based content servers—at least 1,000 SAS spindles.”
New servers will also cost less and require less RAM—and RAM’s associated power and cooling costs. Aaron added, “The [new] servers provide cache with order-of-magnitude higher capacities of NAND flash instead of RAM. This allows us to continue to support our growing listener usage on fewer, smaller, and less power-hungry servers.“
Like Pandora, video-sharing provider Dwango reduced its caching server footprint, “We consolidated the video-hosting caching servers that use ioDrives by a factor of four to one, cutting 200 servers to about 50 servers,” Tetsuya Sato said. “This consolidation factor fully utilizes the 10GbE bandwidth in each server and leaves plenty of I/O headroom for complex, on-demand traffic for a 200,000-user workload.” An additional benefit Dwango gained—no more performance guessing games. Tetsuya said, “We also deployed a building-block architecture so we can easily determine the number of servers we need to meet additional workload requirements. And because we can continue to use our favorite, off-the-shelf servers, we also ensure easy procurement.”
Faster, Smarter Content ServingCDNs that deliver advertising or recommendations for content use analytics, oftentimes on Big Data, to target individual users in real time. Faster analysis means less delay and the ability to analyze more data, increasing the value of these services.
Kontera delivers real-time, Web-based, content-relevant advertising from offices in the US, UK and Israel. It uses a 360GB MongoDB database to analyze the 100 million daily page views generated by its 15,000 publisher clients, and then insert ads relevant to page content. The aim is zero delay in the delivery of Web pages.
Kontera has eliminated any delay that its analysis might cause by hosting its MongoDB database on flash. Greg Pendler, Kontera Production Operations Manager, said, “Our page analysis…is a write-heavy process that must be done in real-time. We tried using a SAN storage target, but it would have taken 55 spindles to get us the performance we needed. We tried a local disk array, and that still wasn’t fast enough. [Flash memory provides] all the performance we need, and give us plenty of room to grow. Queries that used to take minutes now complete in seconds.”
Aggregate Knowledge’s patent-pending AK Media Intelligence Platform combines campaign analytics with audience data mining and multi-touch attribution to make media accountable, and to help advertisers, agencies, DSPs, ad networks, SSPs, and publishers manage the software they need to run their businesses themselves. Aggregate Knowledge’s Director of Operations said, “With MongoDB [using flash memory,] we enabled sub-millisecond search times on a billion documents.”
SummaryFlash memory is an enabling technology in the growing CDN market. It is ideal for caching, overcoming the in-server density limitations and power-hungry cost constraints of scale-out RAM pools. It also speeds analytics processing, enabling CDNs to ensure the content it serves is the most relevant it can be.
About the Author
|Josh is Director of Product Marketing at Fusion-io. He is a technology industry and veteran with over 15 years of experience in Product Marketing, Product Management, and Technical Documentation. He has a passion for cutting-edge technology with potential to change the world and extensive experience with innovative startups.|
Fusion-io has pioneered a next generation storage memory platform for shared data decentralization that significantly improves the processing capabilities within a datacenter by relocating process-critical, or "active", data from centralized storage to the server where it is being processed, a methodology referred to as data decentralization. Fusion's integrated hardware and software solutions leverage non-volatile memory to significantly increase datacenter efficiency and offers enterprise grade performance, reliability, availability and manageability. Fusion's data decentralization platform can transform legacy architectures into next generation datacenters and allows enterprises to consolidate or significantly reduce complex and expensive high performance storage, high performance networking and memory-rich servers. Fusion's platform enables enterprises to increase the utilization, performance and efficiency of their datacenter resources and extract greater value from their information assets.