Welcome!

API Journal Authors: Elizabeth White, Kevin Benedict, Anders Wallgren, Amit Golander, Jerome McFarland

Related Topics: @CloudExpo

@CloudExpo: Article

Cloud Computing Expo: Cloud Optimized Storage Solutions

The basic ideology of COSS is to ingest significant amounts of both structured and unstructured content

The basic ideology of Cloud Optimized Storage Solutions, as noted in the three previous installments, is to ingest significant amounts of both structured and unstructured content and, operating within the confines of SLAs and tiering, provide this data back to users with acceptable performance.

In the previous three Cloud Optimized Storage Solution (COSS) articles in this series, I’ve discussed the content being stored, the method of storage, as well as principles derived from data tiering.  Today, I want to jump ahead a bit and discuss how neural networks and heuristics can impact the processing of object and file data for the cloud.

One of the more recent advancements within computing has been the application of heuristics and neural networking. Heuristics is defined as being “…an educational method in which learning takes place through discoveries that result from investigations…“ While heuristics has historically been used in such products like anti-virus software, it provides an incredible wealth of capability and technology for the COSS solution. Similarly, neural networks provide capacitive understanding of processing layers and optimizations that learn patterns based on underlying statistical data. How do these two technologies apply to COSS?

The basic ideology of COSS, as noted in the previous parts of this paper, is to ingest significant amounts of both structured and unstructured content and, operating within the confines of SLAs and tiering, provide this data back to users with acceptable performance. While fairly reductionistic in nature, it is how the data is allocated to storage that provides the greatest insight into the impact that neural nets and heuristics can potentially have. To illustrate this point, here is a graphical example of file placement within COSS without using heuristics.

As seen below, data is submitted to COSS by API or other integration point, meta data is calculated for said object based on pre-defined categories of content understanding (i.e. “Movies”) and content is placed in Tier 1 for faster access and greater availability. Policy is enacted on this movie object such that it is automatically moved from Tier 1 to Tier 2 after a fixed period of time and again to Tier 3 based on similar time constraints. Globally, policy is additional set for compression, encryption, deduplication, and optimizations and this is applied for content at rest as well as incoming data. Once data has been moved from tier to tier, there is no really process for retrieving that data and promoting it to a different tier based on access or usage patterns.



While this example is extremely reductionistic, it highlights the particular areas where neural nets and heuristics can be applied to approve both the way that data is ingested but also how it is maintained across its lifespan (i.e until delete). In essence, COSS, under this particular model, is administrator-enforced. Here, then, is an example of data ingest to COSS with neural nets and heuristics enabled:

Almost immediately, it becomes apparent that COSS is taking a more active role in the ingest and storage allocation for the file data. Instead of having a global category created (i.e. “Movies”), COSS applies bit-patterning and packet inspection to the data being ingested to determine file composition. Such inspection has several significant implications: less time spent applying policy enhancements such as deduplication/encyption (storage processor intensive) and more time optimizing content layout and placement within tiers (default becomes Tier 2: accessibility and performance). Once the data is inspected, it is determined to be of a certain type (i.e. application/x-octet stream) and placed in a default tier (Tier 2). COSS recognizes that this data is already in a compressed state and rules out compression and deduplication policies and potentially, depending on source/API mapping, rules out encryption policies. Once data is at rest on Tier 2, COSS watches file access patterns to determine when and how it is being accessed. If statistical trending against that file starts showing increased access, COSS will promote the file to a higher tier for more adequate performance and access. If the trending notices a decline in traffic to that file, it can demote it to Tier 2, Tier 3, etc. without affecting surrounding data.

Implications for Global Implementations

The examples above highlighted policies and actions on a single file or object but when it is extrapolated out to the COSS system on a global level, it becomes a much more powerful tool. In essence, the heuristic database and neural network capabilities can be applied to linked COSS systems for global replication and file/object processing. As patterning is completed against file types and categories are created or designed by the engine, the resulting database can be asynchronously updated to other members of the larger COSS network. This replication would make use of recursive heuristic database updates to ensure consistency against the other COSS members and to ensure that data residing across all COSS members was categorized and tagged appropriately. Additionally, since one of the mechanisms for data protection with COSS is to utilize multiple data replicas for redundancy, it serves the additional purpose of spreading the database for protection purposes.

Implications for Heuristic Processing and Control

The additional processing overhead that heuristic analysis brings to the fore an added layer of complexity in implementation and design. Given that COSS is designed to utilize commodity hardware with the differentiating feature being the actual software “brains,” the added performance burden of a heuristic model might seem untenable for basic implementations. However, as recent research has shown, the simple addition of a General Purpose Graphical Processing Unit (GPGPU) to the COSS hardware to offload these more complex routines would fit within the paradigm of commodity hardware. By coding to specific GPGPU routines (as evidenced by the research into WPA key decode, for example) based on nVidia’s CUDA specifications, for example, the heuristic branch paths could be removed from the general storage operation paths handled by the storage system processor. Since each GPGPU typically has ownership of a local, low latency cache (e.g. GDDR4) and has multiple programmable vector units, the ability to process large sets of data is assured.

One area that would need to be addressed with the use of GPGPUs for heuristic programming is the issue of redundancy. Given that no methodology currently exists to maintain GPGPU functionality across two discrete units in a single system, either the programming path would need to account for multiple GPGPU engines within the general I/O complex or it would need to be designed into the heuristic path. In a clustered front end I/O stack (a la EMC’s Atmos), it would be a simple matter of having a GPGPU per individual node member with the overall software stack to process the heuristic path in a parallel fashion.

More Stories By Dave Graham

Dave Graham is a Technical Consultant with EMC Corporation where he focused on designing/architecting private cloud solutions for commercial customers.

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
Artificial Intelligence has the potential to massively disrupt IoT. In his session at 18th Cloud Expo, AJ Abdallat, CEO of Beyond AI, will discuss what the five main drivers are in Artificial Intelligence that could shape the future of the Internet of Things. AJ Abdallat is CEO of Beyond AI. He has over 20 years of management experience in the fields of artificial intelligence, sensors, instruments, devices and software for telecommunications, life sciences, environmental monitoring, process...
Increasing IoT connectivity is forcing enterprises to find elegant solutions to organize and visualize all incoming data from these connected devices with re-configurable dashboard widgets to effectively allow rapid decision-making for everything from immediate actions in tactical situations to strategic analysis and reporting. In his session at 18th Cloud Expo, Shikhir Singh, Senior Developer Relations Manager at Sencha, will discuss how to create HTML5 dashboards that interact with IoT devic...
The IoTs will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm and share the must-have mindsets for removing complexity from the development proc...
We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize busi...
A critical component of any IoT project is the back-end systems that capture data from remote IoT devices and structure it in a way to answer useful questions. Traditional data warehouse and analytical systems are mature technologies that can be used to handle large data sets, but they are not well suited to many IoT-scale products and the need for real-time insights. At Fuze, we have developed a backend platform as part of our mobility-oriented cloud service that uses Big Data-based approache...
trust and privacy in their ecosystem. Assurance and protection of device identity, secure data encryption and authentication are the key security challenges organizations are trying to address when integrating IoT devices. This holds true for IoT applications in a wide range of industries, for example, healthcare, consumer devices, and manufacturing. In his session at @ThingsExpo, Lancen LaChance, vice president of product management, IoT solutions at GlobalSign, will teach IoT developers how t...
Digital payments using wearable devices such as smart watches, fitness trackers, and payment wristbands are an increasing area of focus for industry participants, and consumer acceptance from early trials and deployments has encouraged some of the biggest names in technology and banking to continue their push to drive growth in this nascent market. Wearable payment systems may utilize near field communication (NFC), radio frequency identification (RFID), or quick response (QR) codes and barcodes...
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus inter...
We're entering the post-smartphone era, where wearable gadgets from watches and fitness bands to glasses and health aids will power the next technological revolution. With mass adoption of wearable devices comes a new data ecosystem that must be protected. Wearables open new pathways that facilitate the tracking, sharing and storing of consumers’ personal health, location and daily activity data. Consumers have some idea of the data these devices capture, but most don’t realize how revealing and...
The demand for organizations to expand their infrastructure to multiple IT environments like the cloud, on-premise, mobile, bring your own device (BYOD) and the Internet of Things (IoT) continues to grow. As this hybrid infrastructure increases, the challenge to monitor the security of these systems increases in volume and complexity. In his session at 18th Cloud Expo, Stephen Coty, Chief Security Evangelist at Alert Logic, will show how properly configured and managed security architecture can...
There is an ever-growing explosion of new devices that are connected to the Internet using “cloud” solutions. This rapid growth is creating a massive new demand for efficient access to data. And it’s not just about connecting to that data anymore. This new demand is bringing new issues and challenges and it is important for companies to scale for the coming growth. And with that scaling comes the need for greater security, gathering and data analysis, storage, connectivity and, of course, the...
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, will explain how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
SYS-CON Events announced today that Ericsson has been named “Gold Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. Ericsson is a world leader in the rapidly changing environment of communications technology – providing equipment, software and services to enable transformation through mobility. Some 40 percent of global mobile traffic runs through networks we have supplied. More than 1 billion subscribers around the world re...
In his session at @ThingsExpo, Chris Klein, CEO and Co-founder of Rachio, will discuss next generation communities that are using IoT to create more sustainable, intelligent communities. One example is Sterling Ranch, a 10,000 home development that – with the help of Siemens – will integrate IoT technology into the community to provide residents with energy and water savings as well as intelligent security. Everything from stop lights to sprinkler systems to building infrastructures will run ef...
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, will discuss how leveraging the Industrial Interne...
The increasing popularity of the Internet of Things necessitates that our physical and cognitive relationship with wearable technology will change rapidly in the near future. This advent means logging has become a thing of the past. Before, it was on us to track our own data, but now that data is automatically available. What does this mean for mHealth and the "connected" body? In her session at @ThingsExpo, Lisa Calkins, CEO and co-founder of Amadeus Consulting, will discuss the impact of wea...
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
You deployed your app with the Bluemix PaaS and it's gaining some serious traction, so it's time to make some tweaks. Did you design your application in a way that it can scale in the cloud? Were you even thinking about the cloud when you built the app? If not, chances are your app is going to break. Check out this webcast to learn various techniques for designing applications that will scale successfully in Bluemix, for the confidence you need to take your apps to the next level and beyond.