high_scalability high_scalability-2007 high_scalability-2007-147 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: One stumbling block of the the great march towards virtualization is the relatively poor performance of resource hungry applications like databases. We are told to develop and test using VMs, but deploy without them. Which kind of sucks IMHO. Maybe better virtualization technology can remove this split. This paper talks about a different approach to virtualization called "container-based" virtualization that can reportedly double the performance of traditional hypervisor systems like Xen. It does this by trading isolation for efficiency. Rather than maintaining complete isolation between VMs the container approach shares resources between VMs and thus gives higher performance while still guaranteeing strong fault, resource, and security isolation. It's yet another battle in computing's endless war of creating and destroying abstraction layers. I learned a lot from from this paper because of how it compared and contrasted traditional hypervisor and container based virtualization strateg
sentIndex sentText sentNum sentScore
1 One stumbling block of the the great march towards virtualization is the relatively poor performance of resource hungry applications like databases. [sent-1, score-1.392]
2 We are told to develop and test using VMs, but deploy without them. [sent-2, score-0.245]
3 This paper talks about a different approach to virtualization called "container-based" virtualization that can reportedly double the performance of traditional hypervisor systems like Xen. [sent-5, score-1.882]
4 Rather than maintaining complete isolation between VMs the container approach shares resources between VMs and thus gives higher performance while still guaranteeing strong fault, resource, and security isolation. [sent-7, score-1.39]
5 It's yet another battle in computing's endless war of creating and destroying abstraction layers. [sent-8, score-0.761]
6 I learned a lot from from this paper because of how it compared and contrasted traditional hypervisor and container based virtualization strategies. [sent-9, score-1.615]
wordName wordTfidf (topN-words)
[('virtualization', 0.384), ('vms', 0.344), ('hypervisor', 0.292), ('container', 0.258), ('isolation', 0.207), ('contrasted', 0.203), ('stumbling', 0.203), ('destroying', 0.165), ('guaranteeing', 0.161), ('hungry', 0.149), ('reportedly', 0.149), ('traditional', 0.139), ('endless', 0.138), ('march', 0.126), ('paper', 0.126), ('battle', 0.125), ('trading', 0.124), ('war', 0.12), ('sucks', 0.119), ('resource', 0.117), ('told', 0.112), ('shares', 0.109), ('double', 0.101), ('abstraction', 0.096), ('approach', 0.095), ('poor', 0.091), ('towards', 0.091), ('block', 0.088), ('remove', 0.087), ('fault', 0.083), ('thus', 0.083), ('maintaining', 0.079), ('talks', 0.079), ('compared', 0.077), ('strong', 0.077), ('relatively', 0.073), ('maybe', 0.073), ('develop', 0.07), ('performance', 0.07), ('learned', 0.069), ('security', 0.069), ('based', 0.067), ('deploy', 0.063), ('called', 0.063), ('complete', 0.062), ('higher', 0.061), ('kind', 0.06), ('creating', 0.059), ('gives', 0.059), ('yet', 0.058)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999994 147 high scalability-2007-11-09-Paper: Container-based Operating System Virtualization: A Scalable, High-performance Alternative to Hypervisors
Introduction: One stumbling block of the the great march towards virtualization is the relatively poor performance of resource hungry applications like databases. We are told to develop and test using VMs, but deploy without them. Which kind of sucks IMHO. Maybe better virtualization technology can remove this split. This paper talks about a different approach to virtualization called "container-based" virtualization that can reportedly double the performance of traditional hypervisor systems like Xen. It does this by trading isolation for efficiency. Rather than maintaining complete isolation between VMs the container approach shares resources between VMs and thus gives higher performance while still guaranteeing strong fault, resource, and security isolation. It's yet another battle in computing's endless war of creating and destroying abstraction layers. I learned a lot from from this paper because of how it compared and contrasted traditional hypervisor and container based virtualization strateg
2 0.23175658 924 high scalability-2010-10-21-What is Network-based Application Virtualization and Why Do You Need It?
Introduction: With all the attention being paid these days to VDI (virtual desktop infrastructure) and application virtualization and server virtualization andvirtualization it’s easy to forget about network-based application virtualization. But it’s the one virtualization technique you shouldn’t forget because it is a foundational technology upon which myriad other solutions will be enabled. WHAT IS NETWORK-BASED APPLICATION VIRTUALIZATION? This term may not be familiar to you but that’s because since its inception oh, more than a decade ago, it’s always just been called “server virtualization”. After the turn of the century (I love saying that, by the way) it was always referred to as service virtualization in SOA and XML circles. With the rise of the likes of VMware and Citrix and Microsoft server virtualization solutions, it’s become impossible to just use the term “server virtualization” and “service virtualization” is just as ambiguous so it seems appropriate to giv
3 0.18764994 533 high scalability-2009-03-11-The Implications of Punctuated Scalabilium for Website Architecture
Introduction: Update: How do you design and handle peak load on the Cloud? by Cloudiquity. Gives a formula to try and predict and plan for peak load and talks about how GigaSpaces XAP, Scalr, RightScale and FreedomOSS can be used to handle peak load within EC2. Theo Schlossnagle, with his usual insight, talks about in Dissecting today's surges how the nature of internet traffic has evolved over time. Traffic now spikes like a heart attack, larger and more quickly than ever from traffic inflow sources like Digg and The New York Times. Theo relates how At least eight times in the past month, we've experienced from 100% to 1000% sudden increases in traffic across many of our clients and those spike can happen as quickly as 60 seconds. To me this sounds a lot like Punctuated equilibrium in evolution, a force that accounts for much creative growth in species... VMs don't spin up in less than 60 seconds so your ability to respond to such massive quick spikes is limited. This as
4 0.14217797 664 high scalability-2009-07-29-Strategy: Devirtualize for More Vroom
Introduction: Virtualization offers a lot of benefits, but it also comes with a cost (memory, CPU, network, IO, licensing). If you are in or running a cloud then some form of virtualization may not even be an option. But if you are running your own string of servers you can choose to go without. Free will and all that. Should you or shouldn't you? In a detailed comparison the folks at 37signals found that running their Rails application servers without virtualization resulted in A 66% reduction in the response time while handling multiples of the traffic is beyond what I expected . As is common 37signals runs their big database servers without virtualization. They use a scale-up approach at the database tier so extracting every bit of performance out of those servers is key. Application servers typically use a scale-out approach for scalability, which is virtualization friendly, but that says nothing about performance. Finding performance increases, especially when you are running on a d
5 0.13795754 299 high scalability-2008-04-07-Rumors of Signs and Portents Concerning Freeish Google Cloud
Introduction: Update 2: Rumor no more. Google Jumps Head First Into Web Services With Google App Engine . The quick and dirty of it: developers simply upload their Python code to Google, launch the application, and can monitor usage and other metrics via a multi-platform desktop application. There were 10,000 developer slots open and of course I was too late. More as the cobra strikes. Update: TechCrunch reports Google To Launch BigTable As Web Service next week. It competes with Amazon's SimpleDB. Though it won't be truly comparable until they also release an EC2 and S3 equivalent. An internet hit for each data access is a little painful. As Jimmy says in Goodfellas, "That's the way. You don't take no sh*t from nobody. " First Dave Winer hallucinates a pig on the mean streets of Walnut Creek that told him Google's long foretold cloud offering will be free for bloggers of "modest needs." GigaOM then says a free cloud service is how Google could eat Amazon's bacon for lunch .
6 0.1293945 727 high scalability-2009-10-25-Is Your Data Really Secured?
7 0.12735176 479 high scalability-2008-12-29-Platform virtualization - top 25 providers (software, hardware, combined)
8 0.1251934 762 high scalability-2010-01-18-The Missing Piece in the Virtualization Stack (Part 1)
9 0.12399238 1419 high scalability-2013-03-07-It's a VM Wasteland - A Near Optimal Packing of VMs to Machines Reduces TCO by 22%
10 0.10065521 853 high scalability-2010-07-08-Cloud AWS Infrastructure vs. Physical Infrastructure
11 0.10011104 524 high scalability-2009-03-04-Its time for auto scaling – avoid peak load provisioning for web applications
12 0.099636003 279 high scalability-2008-03-17-Microsoft's New Database Cloud Ready to Rumble with Amazon
13 0.097094953 445 high scalability-2008-11-14-Useful Cloud Computing Blogs
14 0.092190683 1275 high scalability-2012-07-02-C is for Compute - Google Compute Engine (GCE)
15 0.089824349 1537 high scalability-2013-10-25-Stuff The Internet Says On Scalability For October 25th, 2013
16 0.08899878 349 high scalability-2008-07-10-Can cloud computing smite down evil zombie botnet armies?
17 0.088427335 986 high scalability-2011-02-10-Database Isolation Levels And Their Effects on Performance and Scalability
18 0.087635517 825 high scalability-2010-05-10-Sify.com Architecture - A Portal at 3900 Requests Per Second
19 0.086300276 1157 high scalability-2011-12-14-Virtualization and Cloud Computing is Changing the Network to East-West Routing
20 0.085766912 69 high scalability-2007-08-21-What does the next generation data center look like?
topicId topicWeight
[(0, 0.104), (1, 0.03), (2, 0.021), (3, 0.07), (4, -0.052), (5, -0.015), (6, 0.022), (7, -0.027), (8, -0.019), (9, 0.012), (10, 0.001), (11, 0.031), (12, -0.032), (13, 0.024), (14, -0.013), (15, -0.028), (16, 0.025), (17, -0.016), (18, 0.015), (19, -0.008), (20, -0.017), (21, 0.023), (22, -0.023), (23, 0.029), (24, 0.011), (25, 0.051), (26, -0.039), (27, -0.011), (28, -0.007), (29, -0.009), (30, 0.004), (31, 0.004), (32, 0.015), (33, 0.081), (34, -0.016), (35, 0.006), (36, 0.01), (37, 0.031), (38, -0.022), (39, 0.048), (40, -0.025), (41, -0.045), (42, -0.008), (43, 0.013), (44, -0.047), (45, -0.018), (46, -0.01), (47, 0.036), (48, 0.05), (49, 0.042)]
simIndex simValue blogId blogTitle
same-blog 1 0.96650964 147 high scalability-2007-11-09-Paper: Container-based Operating System Virtualization: A Scalable, High-performance Alternative to Hypervisors
Introduction: One stumbling block of the the great march towards virtualization is the relatively poor performance of resource hungry applications like databases. We are told to develop and test using VMs, but deploy without them. Which kind of sucks IMHO. Maybe better virtualization technology can remove this split. This paper talks about a different approach to virtualization called "container-based" virtualization that can reportedly double the performance of traditional hypervisor systems like Xen. It does this by trading isolation for efficiency. Rather than maintaining complete isolation between VMs the container approach shares resources between VMs and thus gives higher performance while still guaranteeing strong fault, resource, and security isolation. It's yet another battle in computing's endless war of creating and destroying abstraction layers. I learned a lot from from this paper because of how it compared and contrasted traditional hypervisor and container based virtualization strateg
2 0.71505928 762 high scalability-2010-01-18-The Missing Piece in the Virtualization Stack (Part 1)
Introduction: This and the next post will discuss how virtualization and cloud computing, as we know it today, is only a small part of the solution for today’s IT inefficiencies. While new technologies and delivery models have made it much simpler to manage the infrastructure, this is not where our core inefficiencies lie. Virtualization principles must be extended to higher levels of the application stack, to make it easier for all of us to manage, tune and integrate applications. Otherwise we will continue to spend most of our time on things that don’t provide real value to the business. Read the full article here
3 0.69032443 1006 high scalability-2011-03-17-Are long VM instance spin-up times in the cloud costing you money?
Introduction: Are long VM instance spin-up times in the cloud costing you money? That's the question that immediately came to mind when James Urquhart , in an interview at the Stata Conference , made this thought provoking comment: the faster you can get the resources into the hands of the people who use them, the more money you save overall . One of the many super powers of the cloud is elasticity , the ability to dynamically acquire and release resources in response to demand. But like any good superhero, their strength must also form the basis of a not quite fatal flaw. Years and years of angsty episodes are usually required to explore this contradiction. In the case of the cloud, the weakness reveals itself in slow VM spin-up times. Spinning up a VM in EC2 can take a little as 1-3 minutes , or can average 5-10 minutes , or it can take much longer if there's heavy usage in your availability zone. EC2 is not alone. A common complaint about Google App Engine is the cold-start problem .
4 0.68863517 923 high scalability-2010-10-21-Machine VM + Cloud API - Rewriting the Cloud from Scratch
Introduction: Write a little "Hello World" program these days and it runs inside a bewildering Russian Doll of nested environments, each layer adding its own special performance and complexity tax. First, a language executes in its own environment of data structure libraries, memory management, and so on. That, more often than not, will run inside a language VM like the JVM, CLR, or V8. The language VM will in-turn run inside a process that runs inside an OS. An application will run in one or more threads inside a process. And the whole thing will run inside a machine sharing VM layer like Xen. And across all of that are frameworks for monitoring, elasticity, storage, and so on. That's a lot of overhead for a such a little program. What if we could remove all these taxes and run directly on the new bare metal, which some consider to be a combination of M achine VM + Cloud API ? That's exactly what a system called Mirage , described in the paper Turning down the LAMP: Software Specialisation for
5 0.65878952 1212 high scalability-2012-03-21-The Conspecific Hybrid Cloud
Introduction: When you’re looking to add new tank mates to an existing aquarium ecosystem, one of the concerns you must have is whether a particular breed of fish is amenable to conspecific cohabitants. Many species are not, which means if you put them together in a confined space, they’re going to fight. Viciously. To the death. Responsible aquarists try to avoid such situations, so careful attention to the conspecificity of animals is a must. Now, while in many respects the data center ecosystem correlates well to an aquarium ecosystem, in this case it does not. It’s what you usually get, today, but its not actually the best model. That’s because what you want in the data center ecosystem – particularly when it extends to include public cloud computing resources – is conspecificity in infrastructure. This desire and practice is being seen both in enterprise data center decision making as well as in startups suddenly dealing with massive growth and increasingly encountering pe
6 0.65267807 1177 high scalability-2012-01-19-Is it time to get rid of the Linux OS model in the cloud?
7 0.64184326 803 high scalability-2010-04-05-Intercloud: How Will We Scale Across Multiple Clouds?
8 0.63153577 1157 high scalability-2011-12-14-Virtualization and Cloud Computing is Changing the Network to East-West Routing
9 0.62255788 807 high scalability-2010-04-09-Vagrant - Build and Deploy Virtualized Development Environments Using Ruby
10 0.60826761 349 high scalability-2008-07-10-Can cloud computing smite down evil zombie botnet armies?
11 0.60322231 1039 high scalability-2011-05-12-Paper: Mind the Gap: Reconnecting Architecture and OS Research
12 0.60202342 839 high scalability-2010-06-09-Paper: Propagation Networks: A Flexible and Expressive Substrate for Computation
13 0.59778011 974 high scalability-2011-01-18-Paper: Relational Cloud: A Database-as-a-Service for the Cloud
14 0.59656346 853 high scalability-2010-07-08-Cloud AWS Infrastructure vs. Physical Infrastructure
15 0.59203589 727 high scalability-2009-10-25-Is Your Data Really Secured?
16 0.5883953 697 high scalability-2009-09-09-GridwiseTech revolutionizes data management
17 0.58364505 355 high scalability-2008-07-21-Eucalyptus - Build Your Own Private EC2 Cloud
18 0.58209938 567 high scalability-2009-04-14-Challanges for Developing Enterprise Application on the Cloud
19 0.58207136 1184 high scalability-2012-01-31-Performance in the Cloud: Business Jitter is Bad
20 0.57465154 694 high scalability-2009-09-04-Hot Links for 2009-9-4
topicId topicWeight
[(1, 0.148), (2, 0.169), (10, 0.053), (40, 0.074), (61, 0.077), (79, 0.106), (95, 0.252)]
simIndex simValue blogId blogTitle
1 0.88634175 270 high scalability-2008-03-08-DNS-Record TTL on worst case scenarios
Introduction: i didnt find a nearly good solution for this problem yet: imagine, you're responsible for a small CDN network (static images), with two different datacenter. the balancing for the two DC is done with a anycast nameservice (a nameserver in every DC, user gets on nearest location). so, one of the scenario is that one of the datacenters goes down completly. you can do a monitoring on the nameserver and only route to the dc which is still alive, no problem. But what about the TTL from the DNS-Records? Tiny TTLs like 2 min. are often ignored by several ISP (e.g. AOL). so, the client doesn't get the IP from the other Datacenter. what could be a solution in this scenario?
same-blog 2 0.86075574 147 high scalability-2007-11-09-Paper: Container-based Operating System Virtualization: A Scalable, High-performance Alternative to Hypervisors
Introduction: One stumbling block of the the great march towards virtualization is the relatively poor performance of resource hungry applications like databases. We are told to develop and test using VMs, but deploy without them. Which kind of sucks IMHO. Maybe better virtualization technology can remove this split. This paper talks about a different approach to virtualization called "container-based" virtualization that can reportedly double the performance of traditional hypervisor systems like Xen. It does this by trading isolation for efficiency. Rather than maintaining complete isolation between VMs the container approach shares resources between VMs and thus gives higher performance while still guaranteeing strong fault, resource, and security isolation. It's yet another battle in computing's endless war of creating and destroying abstraction layers. I learned a lot from from this paper because of how it compared and contrasted traditional hypervisor and container based virtualization strateg
3 0.84193975 1340 high scalability-2012-10-15-Simpler, Cheaper, Faster: Playtomic's Move from .NET to Node and Heroku
Introduction: This is a guest post by Ben Lowry, CEO of Playtomic . Playtomic is a game analytics service implemented in about 8000 mobile, web and downloadable games played by approximately 20 million people daily. Here's a good summary quote by Ben Lowry on Hacker News : Just over 20,000,000 people hit my API yesterday 700,749,252 times, playing the ~8,000 games my analytics platform is integrated in for a bit under 600 years in total play time. That's just yesterday. There are lots of different bottlenecks waiting for people operating at scale. Heroku and NodeJS, for my use case, eventually alleviated a whole bunch of them very cheaply. Playtomic began with an almost exclusively Microsoft.NET and Windows architecture which held up for 3 years before being replaced with a complete rewrite using NodeJS. During its lifetime the entire platform grew from shared space on a single server to a full dedicated, then spread to second dedicated, then the API server was offloaded to a VPS pro
4 0.80101579 797 high scalability-2010-03-19-Hot Scalability Links for March 19, 2010
Introduction: The Changelog Episode 0.1.8 - NoSQL Smackdown! This podcast was recorded at SXSW and features some energetic trash talking by: Stu Hood from Cassandra, Jan Lehnardt from CouchDB, Wynn Netherland from The Changelog, subbing for MongoDB, Werner Vogels CTO at Amazon. It's fun hearing these guys step out of their sober advocacy roles and let loose a little with why they are great and the other products suck, hard. Algorithmic Graph Theory . It's FREE! A GNU-FDL book on algorithmic graph theory by David Joyner, Minh Van Nguyen, and Nathann Cohen. This is an introductory book on algorithmic graph theory. HBase vs Cassandra: why we moved by Dominic Williams. Benchmarking Cloud Serving Systems with YCSB by lots of people from Yahoo! Research. We present the Yahoo! Cloud Serving Benchmark (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems. We define a core set of benchmarks and report re- sults for four
5 0.79781091 61 high scalability-2007-08-07-What qps should we design for in making a MySpace like site?
Introduction: We are currently building a high traffic portal like myspace. What is the qps that we have to keep in mind and develop the site so that it can be scalable as the traffic grows?
6 0.77443367 768 high scalability-2010-02-01-What Will Kill the Cloud?
7 0.76148838 1479 high scalability-2013-06-21-Stuff The Internet Says On Scalability For June 21, 2013
8 0.75973272 1468 high scalability-2013-05-31-Stuff The Internet Says On Scalability For May 31, 2013
9 0.73095226 757 high scalability-2010-01-04-11 Strategies to Rock Your Startup’s Scalability in 2010
10 0.72243088 848 high scalability-2010-06-25-Hot Scalability Links for June 25, 2010
11 0.71483582 1492 high scalability-2013-07-17-How do you create a 100th Monkey software development culture?
12 0.71129781 1414 high scalability-2013-03-01-Stuff The Internet Says On Scalability For February 29, 2013
13 0.70890099 1118 high scalability-2011-09-19-Big Iron Returns with BigMemory
14 0.70670807 672 high scalability-2009-08-06-An Unorthodox Approach to Database Design : The Coming of the Shard
15 0.70629364 1514 high scalability-2013-09-09-Need Help with Database Scalability? Understand I-O
16 0.70580244 778 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
17 0.70535809 1011 high scalability-2011-03-25-Did the Microsoft Stack Kill MySpace?
18 0.70530123 855 high scalability-2010-07-11-So, Why is Twitter Really Not Using Cassandra to Store Tweets?
19 0.70494926 1040 high scalability-2011-05-13-Stuff The Internet Says On Scalability For May 13, 2011
20 0.70489049 1444 high scalability-2013-04-23-Facebook Secrets of Web Performance