"A Generic resources allocation approach for better Cloud Computing IaaS Services", PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS | PDPTA'12 |
• 2012
Publication Information
Authors
Abdulwahab K. Alsammak, AlaaEldeenSayed Ahmed, EssamAlgizawy
Keywords
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publication.type
International
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Supplementary Materials
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Abstract
The distributed Computation world is becoming
complex and very large; Cloud Computing has emerged as a
popular computing model to support large data processing
using commodity hardware. In this context, the number of
physical units (dedicated servers) may suffer shortage
problem at peak time due to the increasing needs of using
resources. In this paper we introduce a solution for resolving
this problem by adopting the use of idle general purpose
machines that exist within homes, universities or enterprises
to be part of the cloud computing environment. The proposed
solution is implemented and tested through the provision of
the modified IaaS by using CPU cycles denoted by public and
OpenStack Cloud Computing platform. On experimenting the
proposed model ,the performance of the cloud has improve
significantly ,which confirm that this mixing of generic and
dedicated resources allocation leads to the provision of
inexpensive resources with the guarantees of the quality of
services.
complex and very large; Cloud Computing has emerged as a
popular computing model to support large data processing
using commodity hardware. In this context, the number of
physical units (dedicated servers) may suffer shortage
problem at peak time due to the increasing needs of using
resources. In this paper we introduce a solution for resolving
this problem by adopting the use of idle general purpose
machines that exist within homes, universities or enterprises
to be part of the cloud computing environment. The proposed
solution is implemented and tested through the provision of
the modified IaaS by using CPU cycles denoted by public and
OpenStack Cloud Computing platform. On experimenting the
proposed model ,the performance of the cloud has improve
significantly ,which confirm that this mixing of generic and
dedicated resources allocation leads to the provision of
inexpensive resources with the guarantees of the quality of
services.
Staff Members - Benha University