TY - GEN
T1 - Towards autonomic cloud services engineering via intention workflow model
AU - Baker, Thar
AU - Rana, Omer F.
AU - Calinescu, Radu
AU - Tolosana-Calasanz, Rafael
AU - Bañares, José Ángel
PY - 2013/10/30
Y1 - 2013/10/30
N2 - In recent years, the rise and rapid adoption of cloud computing has acted as a catalyst for research in related fields: virtualization, distributed and service-oriented computing to name but a few. Whilst cloud computing technology is rapidly maturing, many of the associated long-standing socio-technical challenges including the dependability of cloud-based service composition, services manageability and interoperability remain unsolved. These can be argued to slow down the migration of serious business critical applications to the cloud model. This paper reports on progress towards the development of a method to generate cloud-based service compositions from requirements metadata. The paper presents a formal approach that uses Situation Calculus to translate service requirements into an Intention Workflow Model (IWM). This IWM is then used to generate autonomic cloud service composition. The Petshop benchmark is used to illustrate and evaluate the proposed method.
AB - In recent years, the rise and rapid adoption of cloud computing has acted as a catalyst for research in related fields: virtualization, distributed and service-oriented computing to name but a few. Whilst cloud computing technology is rapidly maturing, many of the associated long-standing socio-technical challenges including the dependability of cloud-based service composition, services manageability and interoperability remain unsolved. These can be argued to slow down the migration of serious business critical applications to the cloud model. This paper reports on progress towards the development of a method to generate cloud-based service compositions from requirements metadata. The paper presents a formal approach that uses Situation Calculus to translate service requirements into an Intention Workflow Model (IWM). This IWM is then used to generate autonomic cloud service composition. The Petshop benchmark is used to illustrate and evaluate the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84886423720&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02414-1_16
DO - 10.1007/978-3-319-02414-1_16
M3 - Conference contribution
AN - SCOPUS:84886423720
SN - 9783319024134
VL - 8193
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 212
EP - 227
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 10th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2013
Y2 - 18 September 2013 through 20 September 2013
ER -