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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 University

Department of Computer Engineering
Shahid Beheshti University, Tehran, Iran
30th Dec, 2013
Measured
Service

Resource
Pooling

Elasticity

Ubiquitous
Network
Access

Self
Service
Actual
traffic

~50% = wasted hardware
~75% = wasted hardware
Actual
traffic
Really like this??
Capacity we can provision
with RobusT2Scale
scale-up =
bigger VMs
scale-out = more
VMs
SUT

Criteria

Big spike Dual phase

Large
variations

Quickly
varying

Slowly
varying

Steep tri
phase

with
RobusT2Scale

π‘Ÿπ‘‘95%

973ms

537ms

509ms

451ms

423ms

498ms

π‘£π‘š

3.2

3.8

5.1

5.3

3.7

3.9

with
overprovisioning

π‘Ÿπ‘‘95%

354ms

411ms

395ms

446ms

371ms

491ms

π‘£π‘š

6

6

6

6

6

6

with under
provisioning

π‘Ÿπ‘‘95%

1465ms

1832ms

1789ms

1594ms

1898ms

2194ms

π‘£π‘š

2

2

2

2

2

2

SLA with 𝒓𝒕 πŸ—πŸ“ = πŸ”πŸŽπŸŽπ’Žπ’”
0.1

0.08

0.06

0.04

0.02

0
alpha=0.1

alpha=0.5

alpha=0.9

alpha=1.0
Benefits

Limitations,
open issues
& future directions
~75% = wasted hardware
Actual
traffic

0.1

0.08

0.06

0.04

0.02

0
alpha=0.1

alpha=0.5

alpha=0.9

alpha=1.0

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