Welcome!

Containers Expo Blog Authors: John Rauser, Liz McMillan, Elizabeth White, Todd Matters, Pat Romanski

Related Topics: Containers Expo Blog, @CloudExpo

Containers Expo Blog: Article

Memory: The Real Data Center Bottleneck

Memory virtualization solves the key barrier to increasing the efficiency of existing network resources

CIOs and IT managers agree that memory is emerging as a critical resource constraint in the data center for both economic and operational reasons. Regardless of density, memory is not a shareable resource across the data center. In fact, new servers are often purchased to increase memory capacity, rather than to add compute power. While storage capacity and CPU performance have advanced geometrically over time, memory density and storage performance have not kept pace. Data center architects refresh servers every few years, over-provision memory and storage, and are forced to bear the costs of the associated space, power and management overhead. The result of this inefficiency has been high data center costs with marginal performance improvement.

Memory: Where Are We?
Business-critical applications demand high performance from all network resources to derive value out of the ever-increasing volume of data. Memory is one of the three key computing resources, along with CPU and storage, which determine overall data center performance. However, memory has lagged far behind the advances of both processors and storage in capacity, price, and performance ratios. While processor vendors assert that data centers are processor-bound and storage vendors imply that data centers are storage-bound, in many cases the true performance barrier is memory. To that end, both a major network vendor and a dominant server vendor have recently made announcements about dramatic increases in the memory footprint of servers to better support data center virtualization.

The major network vendor built their first-ever blade server with custom developed hardware to support a larger memory footprint (up to 384 GB) for one dual-processor blade. This is significantly larger than the 144 GB maximum that is typical in high-end systems. The dominant server vendor enables individual VMs to use more of the local system memory.

Industry Challenges
Memory constraints continue to impact application performance for a number of industries. For example, data for seismic processing of oil and gas extraction, flight and reservation information, or business analytics quickly add up to terabytes, much too large to fit in even large-scale (and expensive) local RAM. These growing data sets create huge performance slowdowns in applications where latency and throughput matter. Multi-core processors are underutilized, waiting for data they can't get fast enough. And, currently available solutions are inefficient and don't entirely solve the problem.

Latency, or the delay in delivering the initial piece of data, is critical to application performance in areas such as manufacturing, pharmaceuticals, energy, and capital markets. As an example, algorithmic traders can execute hundreds of thousands of trades per day. Twenty-five percent of securities trades are now algorithmic trades - trades initiated by computers in response to market conditions or trading in patterns and sequences that generate profits. These trades leverage trade execution speed to make money, and it's a race to performance. The fastest trading desks will profit most.

Alongside the significant impact of peak performance is the need for certified messaging. Trading data streams must be certified - reliably stored for record keeping and rollback. Current solutions to the trading message problem are difficult to integrate, expensive, and cannot meet the performance requirements of the algorithmic trading desk.

A leading vendor's message bus solution has transaction latencies in the millisecond range, and reaches maximum throughput at close to 5,000 transactions per second. This performance hampers algorithmic trading, and throughput is not enough to meet the peak trading volumes at the opening bell, closing bell, or during market-moving events.

Memory Virtualization - Breaking the Memory Barrier
The introduction of memory virtualization shatters a long-standing and tolerated assumption in data processing - that servers are restricted to the memory that is physically installed. Until now, the data center has been primarily focused on server virtualization and storage virtualization.

Memory virtualization is the key to overcoming physical memory limitations, a common bottleneck in information technology performance. This technology allows servers in the data center to share a common, aggregated pool of memory that lives between the application and operating system. Memory virtualization is logically decoupled from local physical machines and made available to any connected computer as a global network resource.

This technology dramatically changes the price and performance model of the data center by bringing the performance benefits of resource virtualization, while reducing infrastructure costs.

In addition, it eliminates the need for changes to applications in order to take advantage of the pool. This creates a very large memory resource that is much faster than local or networked storage.

Memory virtualization scales across commodity hardware, takes advantage of existing data center equipment, and is implemented without application changes to deliver unmatched transactional throughput. High-performance computing now exists in the enterprise data center on commodity equipment, reducing capital and operational costs.

Memory Virtualization in Action - Large Working Data Set Applications
Memory virtualization reduces hundreds to thousands of reads from storage or databases to one, by making frequently read data available in a cache of virtualized memory with microsecond access speeds. This decreases reliance on expensive load balancers and allows servers to perform optimally even with simple, inexpensive round-robin load balancing by linking into common file system calls or application-level API integration. Any server may contribute RAM into the cache by using a command-line interface or a configuration and management dashboard that sets up and controls the virtualized memory pool through a web-based user interface. Memory virtualization then uses native high-speed fabric integration to move data rapidly between servers.

For applications with large working data sets, larger than will fit in physical memory, such as those found in high-volume Internet, predictive analytics, HPC and oil and gas, memory virtualization brings faster results and improves end-user experiences. In capital markets, memory virtualization delivers the lowest trade execution latencies, includes certified messaging, and integrates simply as demanded in this competitive market.

The associated performance gains relative to traditional storage are huge. NWChem is a computational chemistry application typically deployed in an HPC environment. In a 4 node cluster with a 4 GB / node running NWChem, memory virtualization cut the test run time from 17 minutes down to 6 minutes 15 seconds with no additional hardware, simply by creating an 8 GB cache with 2 GB contributed from each node.

Alternatives Fall Short
Attempts to address these challenges include scaling out (adding servers), over-provisioning (adding more storage or memory than is needed), scaling up (adding memory to existing or larger servers), or even designing software around the current constraints.

Larger data centers draw more power and require more IT staff and maintenance. For example, a 16-server data center with 32 GB RAM/server costs $190,000 in capital and operational expense over two years. Scaling out that data center to 32 servers would double the cost to $375,000 (see Figure 1). Scaling up the servers to 64GB RAM/server would raise the cost to $279,000 (data center costs based on the cost of scaling up a 16-node cluster from 32GB to 64GB per server, and scaling out a 16-node cluster to 32-nodes, two years operational expense).

What does this investment buy you? You get more servers to work on the problem - but performance has not improved significantly because they aren't working together; each server is still working only with its own local memory. By trying to divide and conquer your data set, you've fragmented it. Like fragmented drives, fragmented data sets restrict the flow of data and force data to be replicated across the network. The overhead of drawing data into each server consumes resources that should be focused on one thing - application performance.

By sharing memory, data centers require less memory per server because they have access to a much larger pool of virtualized memory. Memory virtualization also enables fewer servers to accomplish the same level of application performance, meaning less rack space, power consumption, and management staff (see Figure 2).

Additional cache capacity can be added dynamically with no downtime, and application servers can easily connect to virtualized network memory to share and consume data at any time without re-provisioning.

High Availability features eliminate data loss when servers or networks go down by keeping multiple copies of data in the cache and employing persistent writes to comply with certified messaging standards.

In the storage area, SAN and NAS have decoupled storage from computing, but storage is not the place for the active working data set. Storage acceleration can only marginally improve application performance because it connects too far down the stack and is not application-aware (understands state). The millisecond latencies of storage requests are unacceptable bottlenecks for business and mission-critical applications.

In some cases, data center architects have turned to data grids in the search for performance. Data grids impose a high management overhead and performance load and tend to replicate the working data set, rather than truly share it. These solutions are difficult to integrate, debug, and optimize, and remain tightly coupled to your application, reducing flexibility. Architects who have implemented these solutions complain of the "black box" software to which they have tied their applications' performance and disappointing acceleration results.

Conclusion
Memory virtualization has solved the key barrier to increasing the efficiency of existing network resources in order to improve the performance of business-critical applications. This capability decouples the memory from its physical environment, making it a shared resource across the data center or cluster. Addressing today's IT performance challenges, virtualized memory enables new business computing scenarios by eliminating application bottlenecks associated with memory and data sharing. Currently available, memory virtualization is delivering optimized data center utilization, performance and reliability with minimum risk and immediate business results.

More Stories By Clive Cook

Clive Cook is CEO of RNA Networks, a leading provider of memory virtualization software that transforms server memory into a shared network resource. He has a track record of success building and leading technology businesses including VeriLAN and Elematics, and holds an MBA from the Ivey School of Business, University of Western Ontario.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
No hype cycles or predictions of zillions of things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, Associate Partner at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He discussed the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud tec...
When growing capacity and power in the data center, the architectural trade-offs between server scale-up vs. scale-out continue to be debated. Both approaches are valid: scale-out adds multiple, smaller servers running in a distributed computing model, while scale-up adds fewer, more powerful servers that are capable of running larger workloads. It’s worth noting that there are additional, unique advantages that scale-up architectures offer. One big advantage is large memory and compute capacity...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Artificial intelligence, machine learning, neural networks. We’re in the midst of a wave of excitement around AI such as hasn’t been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. Will this time be different? Most likely. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Furthermore, the funding and research going into AI now comes from a wide range of com...
SYS-CON Events announced today that CA Technologies has been named "Platinum Sponsor" of SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business - from apparel to energy - is being rewritten by software. From planning to development to management to security, CA creates software that fuels transformation for companies in the applic...
Multiple data types are pouring into IoT deployments. Data is coming in small packages as well as enormous files and data streams of many sizes. Widespread use of mobile devices adds to the total. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists looked at the tools and environments that are being put to use in IoT deployments, as well as the team skills a modern enterprise IT shop needs to keep things running, get a handle on all this data, and deliver...
Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devic...
SYS-CON Events announced today that Cloud Academy named "Bronze Sponsor" of 21st International Cloud Expo which will take place October 31 - November 2, 2017 at the Santa Clara Convention Center in Santa Clara, CA. Cloud Academy is the industry’s most innovative, vendor-neutral cloud technology training platform. Cloud Academy provides continuous learning solutions for individuals and enterprise teams for Amazon Web Services, Microsoft Azure, Google Cloud Platform, and the most popular cloud com...
SYS-CON Events announced today that IBM has been named “Diamond Sponsor” of SYS-CON's 21st Cloud Expo, which will take place on October 31 through November 2nd 2017 at the Santa Clara Convention Center in Santa Clara, California.
SYS-CON Events announced today that Enzu will exhibit at SYS-CON's 21st Int\ernational Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Enzu’s mission is to be the leading provider of enterprise cloud solutions worldwide. Enzu enables online businesses to use its IT infrastructure to their competitive advantage. By offering a suite of proven hosting and management services, Enzu wants companies to focus on the core of their ...
We build IoT infrastructure products - when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA
SYS-CON Events announced today that GrapeUp, the leading provider of rapid product development at the speed of business, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Grape Up is a software company, specialized in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market acr...
SYS-CON Events announced today that Ayehu will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on October 31 - November 2, 2017 at the Santa Clara Convention Center in Santa Clara California. Ayehu provides IT Process Automation & Orchestration solutions for IT and Security professionals to identify and resolve critical incidents and enable rapid containment, eradication, and recovery from cyber security breaches. Ayehu provides customers greater control over IT infras...
SYS-CON Events announced today that MobiDev, a client-oriented software development company, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. MobiDev is a software company that develops and delivers turn-key mobile apps, websites, web services, and complex software systems for startups and enterprises. Since 2009 it has grown from a small group of passionate engineers and business...
In his session at Cloud Expo, Alan Winters, an entertainment executive/TV producer turned serial entrepreneur, presented a success story of an entrepreneur who has both suffered through and benefited from offshore development across multiple businesses: The smart choice, or how to select the right offshore development partner Warning signs, or how to minimize chances of making the wrong choice Collaboration, or how to establish the most effective work processes Budget control, or how to ma...
"When we talk about cloud without compromise what we're talking about is that when people think about 'I need the flexibility of the cloud' - it's the ability to create applications and run them in a cloud environment that's far more flexible,” explained Matthew Finnie, CTO of Interoute, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
In his session at @ThingsExpo, Eric Lachapelle, CEO of the Professional Evaluation and Certification Board (PECB), provided an overview of various initiatives to certify the security of connected devices and future trends in ensuring public trust of IoT. Eric Lachapelle is the Chief Executive Officer of the Professional Evaluation and Certification Board (PECB), an international certification body. His role is to help companies and individuals to achieve professional, accredited and worldwide re...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, discussed some of the security challenges of the IoT infrastructure and related how these aspects impact Smart Living. The material was delivered interac...