Welcome!

Virtualization Authors: Carmen Gonzalez, Trevor Parsons, Keith Cawley, Jason Bloomberg, Lori MacVittie

Related Topics: Cloud Expo, Java, Linux, Virtualization, Security, SDN Journal

Cloud Expo: Article

Why Intelligent VM Routing Is Critical to Your Private Cloud’s Success

Hosting decisions are far too important to be left to simplistic, best-efforts approaches

Virtualized and private cloud infrastructures are all about sharing resources - compute, storage and network. Optimizing these environments comes down to the ability to properly balance capacity supply and application demand. In practical terms, this means allocating the right amount of resources and putting workloads in the right places. These decisions are critical to ensuring performance, compliance and cost control.

Yet most organizations are using antiquated methods such as home-grown spreadsheets and best guesses to determine which infrastructure to host workloads on and how much capacity to allocate. Not only do these approaches hinder operational agility, but as hosting decisions become more and more complex, they are downright dangerous. The typical strategy employed to stave off risk is to over-provision infrastructure, and the thinking behind this is that having an excess of capacity on hand will ensure that enough resource is available to avoid any performance problems. This is not only expensive, but it actually doesn't prevent key operational issues and many of the performance and compliance issues that are caused by incorrectly combining workloads.

In essence, this management challenge is the same one faced by hotel operators. Hoteliers need to constantly align guest demands with hotel resources and amenities. A hotel could not operate without a reservation system to manage resource availability and match that with guest needs, and yet this is exactly how companies manage their virtual and internal cloud environments. Imagine if a hotel didn't have the operational control provided by their reservation system, and was constantly forced to build more rooms than necessary in order to meet "potential" guest demands, rather than basing their decision on an actual profile of historical and predicted demand. Or if they put clients in rooms without enough beds or required amenities. This should start sounding familiar to anyone who has managed a production virtual environment.

Hotels have had the luxury of a long history to refine their operations, and by using reservations systems to properly place guests and manage current and future bookings, they have gained a complete picture of available resources at any point in time. In doing so, they have optimized their ability to plan for and leverage available capacity, achieving the right balance between supply and demand.

Why Workload Routing and Reservations are Important
By applying the same principles used to manage a hotel's available capacity to their own operations, IT organizations can significantly reduce risk and cost while ensuring service levels in virtual and cloud infrastructures. There are five reasons why the process of workload routing and capacity reservation must become a core, automated component of IT planning and management:

1. Complexity of the Hosting Decision
Hosting decisions are all about optimally aligning supply with demand. However, this is very complex in modern infrastructures, where capabilities can vary widely, and the requirements of the workloads may have a significant impact on what can go where. To make the optimal decision, there are three important questions that must be asked:

  • Do the infrastructure capabilities satisfy the workload requirements? This is commonly referred to as "fit for purpose," and is required to determine whether the hosting environment is suitable for the kind of workload being hosted. This question has not always been top of mind in the past, as the typical process to deploy new applications has been to procure new infrastructure with very detailed specifications. But the increasing use of shared environments is changing this, and understanding the specifications of the currently running hosting environments is critical. Unfortunately, early virtual environments tended to be one-size-fits-all, and early internal clouds tended to focus on dev/test workloads, so fit for purpose decisions rarely extended beyond ensuring the environment has the right CPU architecture.
  • Will the workloads fit? While the fit for purpose analysis is concerned with whether a target environment has the right kind of capacity, this aspect of making hosting decisions is concerned with whether there is sufficient free capacity to host the workloads. This is a more traditional capacity problem, but with a twist, as virtual and cloud environments are by nature shared environments, and the capacity equation is multi-dimensional. Resources such as CPU, memory, disk, I/O, network I/O, storage capacity, etc., must be considered, as well as looking at the levels and patterns of activity to ensure that the new workloads are "dovetailing" with the existing ones. Furthermore, any analysis of capacity must also ensure that the workload will fit at the point in time it will be deployed and it must continue to fit beyond that time.
  • What is the relative cost? While fit and suitability are critical to where to host a workload, in a tiebreaker the main issue becomes relative cost. While many organizations are still not sophisticated enough to have an accurate chargeback model in place, a more precise way to determine cost may be to consider the relative cost of hosting a workload as a function of policy and placement.

2. Capacity Supply and Application Demand are Dynamic
Nothing stands still in virtualized IT environments, and any decisions must be made in the context of ever-changing technologies, hardware specs, service catalogs, application requirements and workloads. This is becoming even more prevalent in the age of the software-defined data center.

Because of this, capacity must be viewed as a pipeline, with inbound demands, inbound supply side capacity, outbound demands and decommissioned capacity all being part of the natural flow of activity. Handling this flow is a key to achieving agility, which is a goal in the current breed of virtual and cloud hosting infrastructure. The ability to efficiently react to changing needs is critical, and the lack of agility in legacy environments is really a reflection of the fact that previous approaches did not operate as a pipeline. If it currently takes two to three months to get capacity, then it is a clear indication that there is no pipeline in place.

3. Meeting Your Customers Expectations
Application owners today have expectations that capacity will be available when required, so it's necessary for IT to have a way to hold capacity for planned workload placements to be available on the date of deployment (like advance booking a hotel room).

Sometimes the concept of a capacity reservation is equated with the draw-down on a pool of resources or a quota that has been assigned to a consumer or internal group. This is dangerous, as it simply ensures that a specific amount of resources will not be exceeded, and does not guarantee that actual resources will be available. This is analogous to getting a coupon from a store that says "limit 10 per customer" - it in no way guarantees that there will be any product left on the shelf. Organizations should beware of these types of reservations, as they can give a false sense of security.

Capacity reservations are extremely useful to those managing the infrastructure capacity. They provide an accurate model of the pipeline of demand, which allows for much more efficient, accurate and timely purchasing decisions. Simply put, less idle capacity needs to be left on the floor. It also allows infrastructure to be managed as a portfolio, and if a certain mix of resources is needed to satisfy the overall supply and demand balance (such as buying servers with more memory), then procurement can factor this in.

4. Even Self-Service Needs Reservations
Self-service can create a highly volatile demand pipeline. But a bigger issue with self-service models is the way organizations perceive them. Many early cloud implementations focus on dev/test users or more grid-type workloads, and the entire approach to delivering capacity takes on a last-minute, unplanned flavor. But these are not the only kinds of workloads - or even the most common - and for a cloud to become a true "next-generation" hosting platform it must also support enterprise applications and proper release planning processes.

The heart of the issue is a tendency for organizations to equate self-service with instant provisioning. Although instant provisioning is useful for dev/test, grid and other horizontal scaling scenarios, it is not the only approach. For example, an online hotel reservation site provides self-service access to hotel rooms, but these rooms are not often being booked for that night. For business trips, conferences and even vacations, you book ahead. The same process must be put into place for hosting workloads.

Rather than narrowly defining self-service as the immediate provisioning of capacity, it is better to focus on the intelligent provisioning of capacity, which may or may not be immediate. For enterprise workloads with proper planning cycles and typical lead times, reservations are far more important than instant provisioning. And deciding where the application should be hosted in the first place is a solution critical decision that is often overlooked. Unless an organization has only one hosting environment, the importance (and difficulty) of this should not be underestimated.

5. Demand Is Global
There is a huge benefit to thinking big when it comes to making hosting decisions. The long-term trend will undoubtedly be to start thinking beyond the four walls of an organization and make broader hosting decisions that include external cloud providers, outsourcing models and other potential avenues of efficiency. But the use of external capacity is still a distant roadmap item in many IT organizations, and the current focus tends to be on making the best use of existing capacity and purchasing dollars.

Operating in scale also allows certain assumptions to be challenged, such as the requirement for an application to be hosted at a specific geographical location. Geographical constraints should be fully understood and properly identified, and not simply assumed based on past activity or server-hugging paranoia. Some workloads do have specific jurisdictional constraints, compliance requirements or latency sensitivities, but many have a significant amount of leeway in this regard, and to constrain them unnecessarily ties up expensive data center resources.

Unfortunately, the manual processes and spreadsheet-based approaches in use in many organizations are simply not capable of operating at the necessary scale, and cannot properly model the true requirements and constraints of a workload. This not only means that decisions are made in an overly narrow context, but that the decisions that are made are likely wrong.

Moving Past Your "Gut"
Hosting decisions are far too important to be left to simplistic, best-efforts approaches. Where a workload is placed and how resources are assigned to it is likely the most important factor in operational efficiency and safety, and is even more critical as organizations consider cloud hosting models. These decisions must be driven by the true requirements of the applications, the capabilities of the infrastructure, the policies in force and the pipeline of activity. They should be made in the context of the global picture, where all supply and demand can be considered and all hosting assumptions challenged. And they should be made in software, not brains, so they are repeatable, accurate and can drive automation.

More Stories By Andrew Hillier

Andrew Hillier is CTO and co-founder of CiRBA, Inc., a data center intelligence analytics software provider that determines optimal workload placements and resource allocations required to safely maximize the efficiency of Cloud, virtual and physical infrastructure. Reach Andrew at [email protected]

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 Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is new, what is old, and what the future may hold.
Whether you're a startup or a 100 year old enterprise, the Internet of Things offers a variety of new capabilities for your business. IoT style solutions can help you get closer your customers, launch new product lines and take over an industry. Some companies are dipping their toes in, but many have already taken the plunge, all while dramatic new capabilities continue to emerge. In his session at Internet of @ThingsExpo, Reid Carlberg, Senior Director, Developer Evangelism at salesforce.com, to discuss real-world use cases, patterns and opportunities you can harness today.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...