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Sandpiper : Black box and Gray-Box resource management for Virtual Machines Journal : Computer Networks: The International Journal of Computer and Telecommunications Networking , 2009. Vinayak Gagrani. Introduction. Overloaded Data Center can be handled in two ways :-

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vinayak gagrani
Sandpiper : Black box and Gray-Box resource management for Virtual MachinesJournal : Computer Networks: The International Journal of Computer and Telecommunications Networking, 2009

Vinayak Gagrani

introduction
Introduction
  • Overloaded Data Center can be handled in two ways :-
    • Reallocation of resources within the physical machines
    • Migration of one or multiple VMs to distribute the load
  • Manual Migration is error prone and lacks immediate response
  • Sandpiper introduces technique for monitoring VMs:
    • Black Box : externally monitor VMs, without knowledge of applications executing within them
    • Gray Box : use metrics from OS on applications for more information
  • Uses prediction to decide the utilization possible in future
  • Uses greedy approach to decide which VMs to move around
resource provisioning
Resource Provisioning
  • Need to estimate the additional resource requirements by VM
  • Black Box :-
    • High percentile of the tail distribution as initial estimate
    • VM is over using its fair share
    • VM is using its fair share completely , denotes less requirements
      • Scaling (How much to scale ?)
  • Gray Box :-
    • Better provisioning using service rate, response rate and drop rate
    • Applications modeled as G/G/1 queuing system
    • Allows to reduce the memory allocated in case its not being used fully
hotspot detection mitigation
Hotspot Detection & Mitigation
  • Hotspot Detection
    • Black box – per physical server, Gray box – per virtual server
    • Prolonged exceeding of hotspot (k in N) as well as next predicted value then only hotspot are marked
    • Conservative or Aggressive approach ( based on k and N )
    • Prediction of future values using auto-regressive predictors
  • Hotspot Mitigation
    • VM Resizing
    • Migration
      • NP Hard
      • Capturing Multi-dimension loads – Volume of server
      • Migration phase
      • Swap phase
positives and negatives
Positives and Negatives
  • Positives
    • Very good demonstration of using one technology (live migration) into other (resource management)
    • Lot of figures and graphs to assist text
    • Very detailed description, efficient and ready to be used
  • Negatives
    • Separate machine is to be dedicated as control plane
    • Lot of data to be kept for predicting and profiling for each VM
    • Possible bottleneck (?)
    • Algorithms in mitigation could have been more structured
    • Does not describe how to determine ‘k’ lowest VSR VMs in swapping phase
points to ponder
Points to ponder
  • Memory resizing in black box approach
    • Issues and possible solution
  • Quantify the load of a machine
    • Problem with current metric for volume
    • Alternatives ?
  • Experiments ?
future work
Future Work
  • Multiple Control Planes ?
    • Instead of one control plane use multiple planes whichinteract with each other
    • Utilize features of distributed computations
    • Remove bottleneck in monitoring(?)
    • Reduce chances of failure on central machine (?)
  • Any Other ?