S-InTime: A social cloud analytical service oriented system

2018 ◽  
Vol 80 ◽  
pp. 229-241 ◽  
Author(s):  
Francesco Piccialli ◽  
Paolo Benedusi ◽  
Flora Amato
Keyword(s):  
Service Oriented ◽  
Social Cloud ◽  
Oriented System

The Architecture Framework with Exception Handing in SOA

2010 ◽  
Vol 20-23 ◽  
pp. 992-997 ◽  
Author(s):  
Qing Wu ◽  
Shi Ying ◽  
You Cong Ni ◽  
Hua Cui
Keyword(s):  
Exception Handling ◽  
Software Systems ◽  
Separation Of Concerns ◽  
Clear Separation ◽  
Reliable Service ◽  
Architecture Framework ◽  
Service Oriented ◽  
Business Function ◽  
Oriented System

Service-oriented software systems are inherently complex and have to cope with an increasing number of exceptional conditions in order to meet the system’s dynamic requirements. This work proposes an architecture framework which has exception handling capability. This framework ensures the credibility of service-oriented software, during the architectural stage, by adding exception handling-related architecture elements and modeling exception handling process. It allows a clear separation of concerns between the business function and the exception handling unit, using reflection mechanism. It plays an important guiding role for achieving reliable service-oriented system.

Addressing Highly Dynamic Changes in Service-Oriented Systems

2013 ◽  
pp. 33-46 ◽  
Author(s):  
Andreas Metzger ◽  
Elisabetta Di Nitto
Keyword(s):  
Life Cycle ◽  
Service Life ◽  
Historical Development ◽  
Software Systems ◽  
Life Cycle Model ◽  
Service Oriented ◽  
Reference Service ◽  
Self Adaptation ◽  
Service Life Cycle ◽  
Oriented System

This chapter sets out to introduce relevant foundations concerning evolution and adaptation of service-oriented systems. It starts by sketching the historical development of software systems from monolithic and mostly static applications to highly-dynamic, service-oriented systems. Then, it provides an overview and more thorough explanation of the various kinds of changes that may need to be faced by service-oriented systems. To understand how such changes could be addressed, the chapter introduces a reference service life-cycle model which distinguishes between evolution, viz. the manual modification of the specification and implementation of the system during design-time, and (self-)adaptation, viz. the autonomous modification of a service-oriented system during operation. Based on the discussion of the key activities prescribed by that life-cycle, the chapter elaborates on the need for agility in both adaptation and evolution of service-oriented systems.

A Hybrid Resource Reservation Method for Workflows in Clouds

2012 ◽  
Vol 4 (4) ◽  
pp. 1-21
Author(s):  
Tyng-Yeu Liang ◽  
Fu-Chun Lu ◽  
Jun-Yao Chiu
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
High Performance ◽  
Resource Reservation ◽  
Scientific Workflows ◽  
Service Oriented ◽  
Time And Energy ◽  
Gpu Architecture ◽  
Performance Computing ◽  
Oriented System

QoS and energy consumption are two important issues for Cloud computing. In this paper, the authors propose a hybrid resource reservation method to address these two issues for scientific workflows in the high-performance computing Clouds built on hybrid CPU/GPU architecture. As named, this method reserves proper CPU or GPU for executing different jobs in the same workflow based on the profile of execution time and energy consumption of each resource-to-program pair. They have implemented the proposed resource reservation method on a real service-oriented system. The experimental results show that the proposed resource reservation method can effectively maintain the QoS of workflows while simultaneously minimizing the energy consumption of executing the workflows.

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