Autonomic Resource Provisioning for

Cloud-Based Software

Pooyan Jamshidi

Supervisor: Dr. Claus Pahl

In collaboration with: Aakash Ahmad

IC4- Irish Centre for Cloud Computing and Commerce

School of Computing, Dublin City UniversityDepartment of Computer Engineering

Shahid Beheshti University, Tehran, Iran

30th Dec, 2013

Elasticity

Measured

Service

Self

Service

Ubiquitous

Network

Access

Resource

Pooling

~50% = wasted hardware

Actual traffic

~75% = wasted hardwareActual traffic

Really like this??

Capacity we can provision with RobusT2Scale

scale-up =bigger VMs

scale-out = more VMs

SUT Criteria Big spike Dual phaseLarge

variations

Quickly

varying

Slowly

varying

Steep tri

phase

with

RobusT2Scale

𝑟𝑡95% 973ms 537ms 509ms 451ms 423ms 498ms

𝑣𝑚 3.2 3.8 5.1 5.3 3.7 3.9

with

overprovisioning

𝑟𝑡95% 354ms 411ms 395ms 446ms 371ms 491ms

𝑣𝑚 6 6 6 6 6 6

with under

provisioning

𝑟𝑡95% 1465ms 1832ms 1789ms 1594ms 1898ms 2194ms

𝑣𝑚 2 2 2 2 2 2

SLA with 𝒓𝒕𝟗𝟓 = 𝟔𝟎𝟎𝒎𝒔

0

0.02

0.04

0.06

0.08

0.1

alpha=0.1 alpha=0.5 alpha=0.9 alpha=1.0

Benefits

Limitations, open issues

& future directions

~75% = wasted hardwareActual traffic

0

0.02

0.04

0.06

0.08

0.1

alpha=0.1 alpha=0.5 alpha=0.9 alpha=1.0