high_scalability high_scalability-2013 high_scalability-2013-1421 knowledge-graph by maker-knowledge-mining

1421 high scalability-2013-03-11-Low Level Scalability Solutions - The Conditioning Collection


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Introduction: We talked about  42 Monster Problems That Attack As Loads Increase . And in The Aggregation Collection  we talked about the value of prioritizing work and making smart queues as a way of absorbing and not reflecting traffic spikes. Now we move on to our next batch of strategies where the theme is conditioning , which is the idea of shaping and controlling flows of work within your application... Use Resources Proportional To a Fixed Limit This is probably the most important rule for achieving scalability within an application. What it means: Find the resource that has a fixed limit that you know you can support. For example, a guarantee to handle a certain number of objects in memory. So if we always use resources proportional to the number of objects it is likely we can prevent resource exhaustion. Devise ways of tying what you need to do to the individual resources. Some examples: Keep a list of purchase orders with line items over $20 (or whatever). Do not keep


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1 So if we always use resources proportional to the number of objects it is likely we can prevent resource exhaustion. [sent-9, score-0.48]

2 a web server redirecting to another server when it is too busy the public telephone system saying all calls are busy which prevents new calls from being accepted Tie Work To Resource Availability Reject work until enough resources become available to accept it. [sent-23, score-0.629]

3 Reference Counting Sharing objects via reference counting can greatly reduce memory usage because only one copy of an object is maintained at any one time. [sent-31, score-0.42]

4 All messages from applications on a node to another node travel over the same link. [sent-62, score-0.52]

5 When your communication layer detects a link is back up or node as back up then reverse the process. [sent-66, score-0.407]

6 This causes more load in the system which inturn causes more retries. [sent-77, score-0.432]

7 Separate Control and Data Planes The idea is that high priority control messages should never block behind data or lower priority control traffic. [sent-91, score-0.625]

8 Structure your system to prevent useless work being done while making sure high priority work gets done when it needs to get done. [sent-93, score-0.588]

9 Chatty programs pump out endless low priority control and data traffic that keeps your system busy doing nothing useful at all. [sent-95, score-0.426]

10 Create a separate network for control and data so control messages always go through. [sent-96, score-0.403]

11 When the newest save the day control message is available current work is stopped so the higher priority item can be processed and it's messages will go out immediately as apposed to sitting back and waiting. [sent-100, score-0.562]

12 Fuel Rod Example In interesting example is moving a fuel rod in a nuclear power plant. [sent-106, score-0.497]

13 Let's take two versions of the move command: move_absolute_from_the_top(inches) move_relative(inches) The absolute version is idempotent because no matter how many times you call it the fuel rod is in the same place. [sent-107, score-0.637]

14 In the relative version if there are command drops and resends the fuel rod will keep moving the number of inches for every application of the command. [sent-108, score-0.649]

15 This means the fuel rod may not be where expected when a command returns. [sent-109, score-0.538]

16 com/RealtimeMantra/CongestionControl : A congestion control system typically monitors various factors like CPU occupancy, link occupancy and messaging delay. [sent-116, score-0.618]

17 The throttling of traffic will reduce the load but it there will be a certain time delay before which the monitored variables like CPU and Link occupancy show downward trend. [sent-119, score-0.538]

18 Congestion control systems are designed to take this into account by spacing out congestion control actions. [sent-120, score-0.431]

19 If the system continues to be overloaded, subsequent congestion control actions can further increase the traffic throttling. [sent-121, score-0.46]

20 If the traffic load is just right, the system maintains current traffic throttling actions. [sent-122, score-0.461]


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