Click here to close now.

Welcome!

Web 2.0 Authors: Dana Gardner, Elizabeth White, Ian Khan, Klaus Enzenhofer, Carmen Gonzalez

Related Topics: Cloud Expo

Cloud Expo: 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
The cloud is now a fact of life but generating recurring revenues that are driven by solutions and services on a consumption model have been hard to implement, until now. In their session at 16th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, will discuss how a top European telco has leveraged the innovative recurring revenue generating capability of the consumption cloud to enable a unique cloud monetization model to drive results.
Docker is an excellent platform for organizations interested in running microservices. It offers portability and consistency between development and production environments, quick provisioning times, and a simple way to isolate services. In his session at DevOps Summit at 16th Cloud Expo, Shannon Williams, co-founder of Rancher Labs, will walk through these and other benefits of using Docker to run microservices, and provide an overview of RancherOS, a minimalist distribution of Linux designed expressly to run Docker. He will also discuss Rancher, an orchestration and service discovery platf...
As organizations shift toward IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. CommVault can ensure protection &E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his session at 16th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Partnerships, will discuss how to cut costs, scale easily, and unleash insight with CommVault Simpana software, the only si...
Analytics is the foundation of smart data and now, with the ability to run Hadoop directly on smart storage systems like Cloudian HyperStore, enterprises will gain huge business advantages in terms of scalability, efficiency and cost savings as they move closer to realizing the potential of the Internet of Things. In his session at 16th Cloud Expo, Paul Turner, technology evangelist and CMO at Cloudian, Inc., will discuss the revolutionary notion that the storage world is transitioning from mere Big Data to smart data. He will argue that today’s hybrid cloud storage solutions, with commodity...
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud – both rogue and sanctioned, it’s not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. In her session at 15th Cloud Expo, Evelyn de Souza, Data Privacy and Compliance Strategy Leader at Cisco Systems, will focus on how to set up a cloud data governance program and s...
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been involved at the beginning of four IT industries: EDA, Open Systems, Computer Security and now SOA.
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focused on understanding how industrial data can create intelligence for industrial operations. Imagine ...
Every innovation or invention was originally a daydream. You like to imagine a “what-if” scenario. And with all the attention being paid to the so-called Internet of Things (IoT) you don’t have to stretch the imagination too much to see how this may impact commercial and homeowners insurance. We’re beyond the point of accepting this as a leap of faith. The groundwork is laid. Now it’s just a matter of time. We can thank the inventors of smart thermostats for developing a practical business application that everyone can relate to. Gone are the salad days of smart home apps, the early chalkb...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
Today’s enterprise is being driven by disruptive competitive and human capital requirements to provide enterprise application access through not only desktops, but also mobile devices. To retrofit existing programs across all these devices using traditional programming methods is very costly and time consuming – often prohibitively so. In his session at @ThingsExpo, Jesse Shiah, CEO, President, and Co-Founder of AgilePoint Inc., discussed how you can create applications that run on all mobile devices as well as laptops and desktops using a visual drag-and-drop application – and eForms-buildi...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 16th Cloud Expo at the Javits Center in New York June 9-11 will find fresh new content in a new track called PaaS | Containers & Microservices Containers are not being considered for the first time by the cloud community, but a current era of re-consideration has pushed them to the top of the cloud agenda. With the launch of Docker's initial release in March of 2013, interest was revved up several notches. Then late last...
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
CommVault has announced that top industry technology visionaries have joined its leadership team. The addition of leaders from companies such as Oracle, SAP, Microsoft, Cisco, PwC and EMC signals the continuation of CommVault Next, the company's business transformation for sales, go-to-market strategies, pricing and packaging and technology innovation. The company also announced that it had realigned its structure to create business units to more directly match how customers evaluate, deploy, operate, and purchase technology.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your online presence.
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along with a steady stream of well-publicized data breaches, only add to the uncertainty
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...