irq

05/11/2009

“In this case I am showing that there is flexability in how you use NIV in a virtual environment. The server administrator has decided one of the VM’s is really I/O intense and needs full blown VMDirectPath I/O, while other more common VM’s are just fine with standard hypervisor switching.” - Simple use cases for Network Interface Virtualization : INTERNETWORK EXPERT .ORG

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Elemental Cloud Computing is a new research offering dedicated to exploring the opportunities, issues, technologies, offerings and implications of cloud computing from a practitioner perspective. (via elemental cloud computing : intentional cloud watching - by brenda michelson)

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Nerd Merit Badges - 02: Inbox Zero

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20/10/2009

“ Ultimately inflexible mental models are more of a problem than inflexible assets. People have the opportunity to choose either positive change or negative change, and often resist change out of fear. So, to make change happen, we should seek to create an opportunity for positive change so people will be excited about the possibilities and make the changes in spite of their fears. „

Blogging Innovation: A Day with Gary Hamel - Latest innovation articles, videos, and insights

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14/10/2009

» Cisco Nexus 5000 Unified Fabric TCO Calculator

Link posted at 08:52 Comments

13/10/2009

network pieces

Incomplete thought [props to Hoff]…

I think that control plane and data/forwarding plane separation will end up a common feature of data center networks at scale, for cloud, etc. It’s a lesson from telcos.

The work of control plane software optimization is really a set of algorithmic route calculation (etc.) and distributed database problems that are better attacked outside the confines of network hardware, with general purpose machines.

The work of the data plane is more about capability optimization in asics, fpgas, etc. for latency, latency jitter, scaling, subscription rates, etc.

These two things have very different cycles and [I think] are better off not tied to one another.

Text posted at 16:25 Comments

IBM Systems Director VMControl - Value Summary (via IBMGreg)

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» DESIGNING A PREDICTABLE BACKBONE NETWORK USING VALIANT LOAD-BALANCING [pdf]

This is Rui Zhang-Shen’s Stanford dissertation from 2007.

Link posted at 15:03 Comments

analytics at network edges

Incomplete thought…

Much churn and anguish to remove the network limits to scaling virtualized environments has driven people to make the network “aware”, “intelligent”, and “smart” with a focus on virtualization, orchestration, etc.

In this, I think a useful idea has been lost—

The network should provide more intelligence. How about we embed serious awareness in the form of analytics capabilities into the network? Instead of discovering distributed/networked/cloud application hiccups, failures, overloads, etc., at the core and after the fact—I want to intercept and predict them at the edges where they start. There must be markers and patterns to requests, responses, session states, etc., that can be teased out and understood by the edge.. and once observed, passed on to correlators, orchestrators, management systems, etc.

Ultimately, I think there are decisions and actions that should be made/taken at the edge to head off certain kinds of problems before they manifest application-infrastructure-wide.

Text posted at 14:12 Comments

“ Then I thought about the usage patterns of the applications themselves. One of the heavier trafficked ones uses AJAX to update components in real-time as long as the user is logged in. Unfortunately, many users never log out – they just leave the application running in a tab while they’re off doing other things. The updates still happen, every X seconds/minutes, and even though the user isn’t really “using” the application, it’s still running. So between inattentive users, AJAX, bots, spiders, and miscreants there is always someone – or something – using those applications. „

Paradox: When Cloud Is Both the Wrong and the Right Solution

Quote posted at 09:14 Comments

[irq]: serially techie

Aneel

this thing

disclaiming

on linkedin

interesting posts