Grid Workflows with Encompassed Business Relationships: An Approach Establishing Quality of Service Guarantees

This chapter focuses on presenting and describing an approach that allows the mapping of workflow processes to Grid provided services by not only taking into account the quality of service (QoS) parameters of the Grid services but also the potential business relationships of the service providers that may affect the aforementioned QoS parameters. This approach is an integral part of the QoS provisioning, since this is the only way to estimate, calculate, and conclude to the mapping of workflows and the selection of the available service types and instances in order to deliver an overall quality of service across a federation of providers. The added value of this approach lays on the fact that business relationships of the service providers are also taken into account during the mapping process. DOI: 10.4018/978-1-4666-0879-5.ch6.4

[1]  Shih-Hao Hung,et al.  Migrating Android Applications to the Cloud , 2011, Int. J. Grid High Perform. Comput..

[2]  International Journal of Grid and High Performance Computing , 2013 .

[3]  Bimal Aklesh Kumar,et al.  Improving Performance and Scalability of Fiji National University Campus Information System Using N-Tier Architecture , 2013, Int. J. Distributed Syst. Technol..

[4]  M. Siddiqui,et al.  Grid Capacity Planning with Negotiation-based Advance Reservation for Optimized QoS , 2006, ACM/IEEE SC 2006 Conference (SC'06).

[5]  Katarzyna Rycerz,et al.  Workflow composer and service registry for grid applications , 2005, Future Gener. Comput. Syst..

[6]  Dimosthenis Kyriazis,et al.  A Study on the Effect of Application and Resource Characteristics on the QoS in Service Provisioning Environments , 2010, Int. J. Distributed Syst. Technol..

[7]  Nik Bessis,et al.  Managing Inconsistencies in Data Grid Environments: A Practical Approach , 2010, Int. J. Grid High Perform. Comput..

[8]  International Journal of Distributed Systems and Technologies , .

[9]  Alejandro P. Buchmann,et al.  Principles and Applications of Distributed Event-Based Systems , 2010, Principles and Applications of Distributed Event-Based Systems.

[10]  Klara Nahrstedt,et al.  A distributed resource management architecture that supports advance reservations and co-allocation , 1999, 1999 Seventh International Workshop on Quality of Service. IWQoS'99. (Cat. No.98EX354).

[11]  Burak Kantarci,et al.  Communication Infrastructures for Cloud Computing , 2013 .

[12]  Ian T. Foster,et al.  The Anatomy of the Grid: Enabling Scalable Virtual Organizations , 2001, Int. J. High Perform. Comput. Appl..

[13]  Theodora Varvarigou,et al.  Achieving Real-Time in Distributed Computing - From Grids to Clouds , 2012, Achieving Real-Time in Distributed Computing.

[14]  Karim Djemame,et al.  Grid-Based SLA Management , 2005, EGC.

[15]  David Abramson,et al.  The Grid Economy , 2005, Proceedings of the IEEE.

[16]  Amit P. Sheth,et al.  Modeling Quality of Service for Workflows and Web Service Processes , 2002 .

[17]  Bertram Ludäscher,et al.  Compiling abstract scientific workflows into Web service workflows , 2003, 15th International Conference on Scientific and Statistical Database Management, 2003..

[18]  Rajkumar Buyya,et al.  A Taxonomy of Workflow Management Systems for Grid Computing , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[19]  Tevfik Kosar.  Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management , 2012 .

[20]  Morteza Analoui,et al.  QoS-based scheduling of workflow applications on grids , 2007 .

[21]  Kaizar Amin,et al.  Analysis and Provision of QoS for Distributed Grid Applications , 2004, Journal of Grid Computing.

[22]  Abdelhakim Hafid,et al.  Some principles for quality of service management , 1997, Distributed Syst. Eng..

[23]  Alexandros Stamatakis,et al.  Large-Scale Co-Phylogenetic Analysis on the Grid , 2009, Int. J. Grid High Perform. Comput..

[24]  Stephen A. Jarvis,et al.  Performance-Aware Workflow Management for Grid Computing , 2005, Comput. J..

[25]  Roy Grønmo,et al.  Model-Driven Engineering, Services and Interactive Real-Time Applications , 2012 .

[26]  Vipin Kumar,et al.  Information power grid: The new frontier in parallel computing? , 1999, IEEE Concurr..

[27]  Dimosthenis Kyriazis,et al.  An innovative workflow mapping mechanism for Grids in the frame of Quality of Service , 2008, Future Gener. Comput. Syst..

[28]  Uei-Ren Chen,et al.  Realistic Modeling of Resources for a Large-Scale Computational Grid System , 2012, Int. J. Grid High Perform. Comput..

[29]  Vladik Kreinovich,et al.  From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty , 2007, IFSA.

[30]  Nathalie Furmento,et al.  ICENI Dataflow and Workflow: Composition and Scheduling in Space and Time , 2003 .

[31]  Jyh-Biau Chang,et al.  An Adaptive-Grained Consistency Maintenance Scheme for Shared Data on Emergency and Rescue Applications , 2013, Int. J. Grid High Perform. Comput..

[32]  Luc Renambot,et al.  Visualization of Large-Scale Distributed Data , 2012 .

[33]  JingTao Yao,et al.  Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation , 2010 .

[34]  Applications and Developments in Grid, Cloud, and High Performance Computing , 2012 .

[35]  Yolanda Gil,et al.  Workflow Management in GriPhyN" in Grid Resource Management J , 2003 .

[36]  Josef Hallberg,et al.  Harnessing the Cloud for Mobile Social Networking Applications , 2010, Int. J. Grid High Perform. Comput..

[37]  Radu Prodan,et al.  ASKALON: a tool set for cluster and Grid computing , 2005, Concurr. Pract. Exp..

[38]  Chao-Chin Wu,et al.  Adjusting Thread Parallelism Dynamically to Accelerate Dynamic Programming with Irregular Workload Distribution on GPGPUs , 2014, Int. J. Grid High Perform. Comput..

[39]  Yolanda Gil,et al.  Pegasus: Mapping Scientific Workflows onto the Grid , 2004, European Across Grids Conference.