Grid computing is generally viewed as task assignment to distributed resources. While in practice many factors do complicate this scheduling process (e.g. resource monitoring and discovery, resource failures, resources ownership and policies ... etc), the process is still viewed as resource scheduling according to some criteria. The criteria are referred to as Quality of Service (QoS) attribute...

Unit testing traditionally is a process for increasing confidence levels in functional attributes of large-scale distributed systems throughout the software lifecycle. As largescale distributed systems grow larger and more complex, increasing confidence levels in their quality-of-service (QoS) attributes, such as performance, reliability, and security, throughout the software lifecycle is becom...

Unit testing traditionally is a process for increasing confidence levels in functional attributes of large-scale distributed systems throughout the software lifecycle. As largescale distributed systems grow larger and more complex, increasing confidence levels in their quality-of-service (QoS) attributes, such as performance, reliability, and security, throughout the software lifecycle is becom...

In this work the Service abstraction is extended to support Quality of Service (QoS) attributes – and implemented in the Grid QoS Management (G-QoSM) framework. The framework supports three main functions: (1) providing mechanisms for establishing QoS guarantees via Service Level Agreements (SLAs), (2) enabling QoS management on allocated QoS-aware services, and (3) supporting discovery of serv...

It is inadequate to just assure the functional requirements. Quality of service (QoS) must also be satisfied. An important challenge for developing efficient Service Oriented Architecture (SOA) is to maintain the QoS attributes because of compositional and dynamical environment of SOA. It is significant to scrutinize how quality attributes are supported by SOA. However, implementation of SOA pr...

Quality-of-Service (QoS) in Web services considers a service’s nonfunctional characteristics during service specification, discovery, and composition. In order to encourage the development of QoS-aware Web services, we first develop a QoS-aware model, which contains a common set of QoS attributes including response time, throughput, reliability, availability and price etc. Then, based on the at...

The explicit management of Quality of Service (QoS) of network connectivity, such as, e.g., working cost, transaction support, and security, is a key requirement for the development of the novel wide area network applications. In this paper, we introduce a foundational model for specification of QoS attributes at application level. The model handles QoS attributes as semantic constraints within...

QoS–aware service composition and binding are among the most challenging and promising issues for service–oriented architectures. The aim of QoS–aware service composition is to determine the set of services that, once composed, will perform the required functionality, and will best contribute to achieve the level of QoS promised in Service Level Agreements (SLAs). While the existing works focus...

The QoS attributes of Grid services play important roles in several tasks in Grid computing such as QoS-aware service composition, service negotiation, resource management, service discovery and scheduling. By considering the dynamic aspects of the Grid environments and also the uncertainty related to Grid services, in this paper, we present BNQM, a Bayesian network based probabilistic QoS Mode...

When multiple web services exist that perform identical tasks, non-functional attributes must be considered in order to choose the best service. Quality-of-service (QoS) attributes are often used to differentiate functionally redundant web services. However, ranking services according to QoS attributes is a complex problem. Additionally, the use of test data to establish those QoS ratings does ...