NACER: a Network-Aware Cost-Efficient Resource allocation method for processing-intensive tasks in distributed clouds
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Tartalom: http://www.cs.bme.hu/~mann/publications/NCA-2015/Ahvar_et...
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published


Type = Conference or Workshop Item
Cím:
NACER: a Network-Aware Cost-Efficient Resource allocation method for processing-intensive tasks in distributed clouds
Létrehozó:
Ahvar, Ehsan
Ahvar, Shohreh
Crespi, Noel
Garcia-Alfaro, Joaquin
Mann, Zoltán Ádám
Dátum:
2015
Téma:
QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
QA76 Computer software / programozás
Tartalmi leírás:
In the distributed cloud paradigm, data centers are geographically dispersed and interconnected over a wide-
area network. Due to the geographical distribution of data centers, communication networks play an important
role in distributed clouds in terms of communication cost and QoS. Large-scale, processing-intensive tasks require
the cooperation of many VMs, which may be distributed in more than one data center and should communicate
with each other. In this setting, the number of data centers serving the given task and the network distance among
those data centers have critical impact on the communication cost, traffic and even completion time of the task.
In this paper, we present the NACER algorithm, a Network-Aware Cost-Efficient Resource allocation method for
optimizing the placement of large multi-VM tasks in distributed clouds. NACER builds on ideas of the
A
*
search
algorithm from Artificial Intelligence research in order to obtain better results than typical greedy heuristics. We
present extensive simulation results to compare the performance of NACER with competing heuristics and show
its effectiveness.
Típus:
Conference or Workshop Item
PeerReviewed
Formátum:
text
Azonosító:
Ahvar, Ehsan and Ahvar, Shohreh and Crespi, Noel and Garcia-Alfaro, Joaquin and Mann, Zoltán Ádám (2015) NACER: a Network-Aware Cost-Efficient Resource allocation method for processing-intensive tasks in distributed clouds. In: 14th IEEE International Symposium on Network Computing and Applications, 2015.09.28-2015.09.30, Cambridge, MA.
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