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Cisco Solutions for EMC VSPEX

June 7, 2013 at 5:49 am PST

IT organizations have traditionally designed and built virtualized infrastructures by selecting best of breed components and piecing them together. What’s great about the build your own strategy is it’s incredibly flexible. The challenge is it’s not that easy. It’s just not simple. It takes time, requires people and expertise that you may or may not have, and represents risk should any of the steps not go according to plan. VSPEX CVD

Hence, an increasing amount of IT organizations prefer deploying integrated infrastructure solutions due to the time it
saves in planning and integration. What Cisco and EMC have done is dramatically reduce the complexity inherent to building your own virtualized infrastructure by releasing several new Cisco solutions for EMC VSPEX.  These validated solutions can enable IT to reduce planning, build, and test time, resulting in cost reduction and freed up resources. These solutions are architected with Cisco’s server (Cisco UCS) and networking technology, EMC’s unified storage and backup technology along with the customer’s choice of hypervisor.

Cisco and EMC have worked hand-in-hand not only to ensure VSPEX is rigorously tested, proven and validated by EMC but is also rigorously tested, proven and validated by Cisco.

We have recently released several new Cisco Validated Designs (CVDs) for desktop virtualization as well as VMware and Microsoft virtualized infrastructure solutions. The new designs can be found here.

We also have corresponding solution briefs for each CVD that provide a high level overview of each solution and required components. Below is a table from the solution brief which highlights the component choices for the VMware infrastructure solutions based on 100, 125 and 250 virtual machines.

vspex VMware

These new Cisco solutions for EMC VSPEX are just another example of how EMC and Cisco continue to collaborate and offer industry-leading virtual infrastructure solutions that can simplify deployment and improve efficiency. As always, the goal is to enable IT infrastructure to quickly and efficiently respond to the needs of the business.

To learn more about Cisco’s solutions for EMC VSPEX please visit www.cisco.com/go/vspex.

 

MPI Quiz

June 6, 2013 at 4:39 pm PST

A fun scenario was proposed in the MPI Forum today.  What do you think this code will do?

MPI_Comm comm, save;
MPI_Request req;
MPI_Init(NULL, NULL);
MPI_Comm_dup(MPI_COMM_WORLD, &comm);
MPI_Comm_rank(comm, &rank);
save = comm;
MPI_Isend(smsg, 4194304, MPI_CHAR, rank, 123, comm, &req);
MPI_Comm_free(&comm);
MPI_Recv(rmsg, 4194304, MPI_CHAR, rank, 123, save, MPI_STATUS_IGNORE);

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The Heartbeat of the Small Cell Network

We were pleased to accept a Small Cell Industry Award last night for small cell design and technology innovation for the Cisco Management Heartbeat Server (CMHS). We were particularly pleased because the CMHS is an example of a solution our engineering team developed in response to some real world issues we were seeing in our customer’s small cell network – one of the largest small cell networks deployed today.

Above: Partho Mishra,VP/GM, Small Cell Technology Group, Cisco

When small cells are deployed in the hundreds of thousands, there’s a need to scale the monitoring of the access points so that operations are simplified while customers are kept happy.  The CMHS monitors connectivity and service status in real-time with ongoing heartbeats, and provides Read More »

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Capturing Value from Data in Motion in the Internet of Everything

Much has been written about the vast number and variety of things that will soon be connected to the Internet—from milk cartons and alarm clocks to sensors and trains. Already in 2008, that number exceeded the number of people on earth. By 2020, when the next incarnation of the Internet—aka the Internet of Things—is in full swing, the number is expected to reach 50 billion. And it’s not just things that will add value and relevance to networked connections, but also people, data and processes.

Think about it. Through their interactions with the Web, social networks and devices—especially mobile devices—people have a massive multiplier effect on the amount of IP traffic traversing the network. In 2012 alone, new, more powerful smartphone technologies combined with growth in both mobile bandwidth and apps produced annual mobile data traffic nearly 12 times greater than the total Internet traffic in 2000 (Cisco Mobile VNI 2013).  

Add to that a coming tsunami of constantly streaming data as sensors in just about everything become the norm—not just wearable sensors attached to our bodies, clothes and shoes, but also sensors, meters and actuators in our cars, machinery and infrastructure. And let’s not forget the critical role that processes will play in managing and automating this explosive growth in connections as well as in the collection, analysis and communication of data. People, data, processes and things. Together, they will make up the next phase of the Internet of Things—the Internet of Everything.

Data in Motion vs. Data at Rest

Zooming in on data in the age of the Internet of Everything, there’s another critical distinction that needs to be made. You see, not all data is created equal. Most of the new data being generated today is real-time data that fits into a broad category called Data in Motion. This refers to the constant stream of sensor-generated data that defies traditional processes for capture, storage and analysis, and requires a fundamentally different approach.IoE Jim Gubb Blog1

Let’s back up a minute. Historically, in order to find gems of actionable insight, enterprises have tended to focus their analytics or business intelligence applications on data captured and stored using traditional relational data warehouses or “enterprise historian” technologies.

However, the limits of this approach have been tested by the increase in volume of this so-called Data at Rest. The challenges inherent in collecting, searching, sharing, analyzing and visualizing insights from these ever-expanding data sets have led to the development of massively parallel computing software running on tens, hundreds, or even thousands of servers. As innovative and adaptive as these Big Data technologies are, they still rely on historical data to find the proverbial needle in the haystack.

This rising tide of Data in Motion is not going to slow down. In fact, as the Internet of Everything gathers momentum, the vast number of connections will trigger a zettaflood of data, at an even more accelerated pace. While this new Data in Motion has huge potential, it also has a very limited shelf life. As such, its primary value lies in its being captured soon after it is created—in many cases, immediately after it is created.

For instance, real-time traffic information from cameras, sensors and connected cars allows drivers to avoid traffic jams and use sugConnect_This_coffee_1281gested alternate routes, potentially reducing hours of unproductive time spent behind the wheel. Similarly, manufacturers can connect their stock inventory with their suppliers’ production systems so that potential delays can be identified as early as possible and corrective actions taken on their respective shop floors to better prioritize people’s activities. In each of these cases, it’s easy to see the added value of connecting not just things, but also people, data and processes.

The real challenge for data-driven organizations is how to manage and extract value from this constant stream of information, and turn it to competitive advantage. Data in Motion represents a new type of data whose value can not always be extracted through traditional analytics. In a next post, we will look at examples of Data in Motion and how to extract value from it.

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The Programmable Network: Advanced Flow Control

The increasing diversity and complexity of traffic traversing the Internet of Everything­ today can be imagined as a three-dimensional collection of intersecting highways of different kinds (e.g., corporate WAN, Internet, mobile, Wi-Fi, cellular, cable, cloud), with a wide array of vehicles (e.g., PCs, tablets, smartphones) carrying various types of passengers (e.g., data, voice, video, email, SMS, Web).   Emerging traffic from the new category of machine-to-machine communications is scaling exponentially and introducing new policy triggers.

In this new environment network operators must become master traffic controllers to deal with all of the volume, diversity, and complexity. The most innovative and forward-looking experts are aggressively looking into providing more open programmatic access to their network functions and services. The goal is easier and faster control, in order to make them more agile, flexible and application interactive while at the same time optimally aligning costs with potential new revenues.

Cisco ONE Building Blocks: Controllers and Agents

Software Defined Networking (SDN) plays a key role within Read More »

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