Adaptive QoS scheduling in a service-oriented grid environment

Tan Fong ANG; Teck Chaw LING; Keat Keong PHANG

Makale detayları

Adaptive QoS scheduling in a service-oriented grid environment

Yazarlar:

Tan Fong ANG | Teck Chaw LING | Keat Keong PHANG

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.413-424

Belge Tipi:

Makale

Yayın Tarihi:

2/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743600

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

The use of grid technology and web services for resource  sharing has received tremendous attention in recent years.  The  merging of these 2 technologies is able to provide additional multiple  types of services and functionalities.  However, the problem of  scheduling services to meet quality of service (QoS) requirements  remains challenging.  This paper proposes an adaptive QoS (AQoS)  scheduling algorithm for service-oriented grid environments.  AQoS  uses benchmarking and curve-fitting based on historical records to  estimate job length.  Job length and users' QoS requirements are then  used to make scheduling decisions.  AQoS is able to maximize service  availability, reliability, and resource utilization while minimizing  total service execution time.  Experimental results show that AQoS  outperforms MIN-MIN and MAX-MIN algorithms by 10%-30% in terms of  makespan and 5%-20% in terms of reliability.

 

The use of grid technology and web services for resource  sharing has received tremendous attention in recent years.  The  merging of these 2 technologies is able to provide additional multiple  types of services and functionalities.  However, the problem of  scheduling services to meet quality of service (QoS) requirements  remains challenging.  This paper proposes an adaptive QoS (AQoS)  scheduling algorithm for service-oriented grid environments.  AQoS  uses benchmarking and curve-fitting based on historical records to  estimate job length.  Job length and users' QoS requirements are then  used to make scheduling decisions.  AQoS is able to maximize service  availability, reliability, and resource utilization while minimizing  total service execution time.  Experimental results show that AQoS  outperforms MIN-MIN and MAX-MIN algorithms by 10%-30% in terms of  makespan and 5%-20% in terms of reliability.

Makale detayları

Adaptive QoS scheduling in a service-oriented grid environment

Yazarlar: Tan Fong ANG | Teck Chaw LING | Keat Keong PHANG

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.413-424

Belge Tipi: Makale

Yayın Tarihi: 2/2012

Belge Dili: Türkçe

Document ID (Org No.): 2000743600

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Tan Fong ANG | Teck Chaw LING | Keat Keong PHANG

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2012 Vol.20 Issue 3, pp.413-424

Belge Tipi:

Makale

Yayın Tarihi:

2/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743600

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632