A new approach to QoS driven service selection in service oriented architectures

Abstract

Abstract-Service selection has been widely investigated by the SOA research community as an effective adaptation mechanism that allows a service broker, offering a composite service, to bind at runtime each task of the composite service to a corresponding concrete implementation, selecting it from a set of candidates which differ from one another in terms of QoS parameters. In this paper we present a load-aware perrequest approach to service selection which aims to combine the relative benefits of the well known per-request and per-flow approaches. We present experimental results obtained with a prototype implementation of a service broker. Our results show that the proposed approach is superior to the traditional perrequest one and combines the ability of sustaining large volume of service requests, as the per-flow approach, while at the same time offering a finer customizable service selection, as the perrequest approach.

An Approach to Selecting Cloud Services for Data Storage in Heterogneous-Multicloud Environment with High Availability and Confidentiality

“…Cardellini et al demonstrated how to select the best services [10] in relation to the cost-effective use of cloud services. They proposed a ''load-aware per-request approach'' to service selection in their research, whic combining the relative benefits of the w request and per-flow approaches.…”

A New Method to QoS Global Optimal Service Selection Driven by Credit

“…Global optimal problem can be modeled as Integer Programming Problem [4], Integer Linear Programming Problem [5], Mixed Integer Linear Programming Problem [6] [7] or Multi-dimensional Multi-choice 0-1 Knapsack Problem [8] and so on. Valeria Cardellini et al present the method to QoS driven service selection, modeling optimal problem as MILP, and choose the services based on their QoS and load capacity [7]. In these methods above mentioned, if business process which needs to run a long time or some service components unavailable, the QoS of composite system will be affected.…”

“…Service Level Aggrements (SLAs): a contract between service providers and customers to offer different qualities of service with different monetary prices (the higher service level the more expensive). Some metrics that SLAs may specify include [7]:①Cost: the agreed-upon cost for each invocation, ②Availability: the percentage of time that service can accessible in its life-cycle, ③Response-time: the time interval from service invocation to its completion.…”

“…Here, we mainly focus on the user-perceived average QoS, which describes the quality of composite system and the QoS of worst instance, which is used as constrained boundary. Computational formulas of QoS attributes [7] are shown in table 2.…”

A File-Distribution Approach to Achieve High Availability and Confidentiality for Data Storage on Multi-cloud

“…In relation to the cost-effective use of cloud services, V. Cardellini et al showed how to select the best service [12]. In their research, they proposed a ''load-aware per-request approach'' to service selection, which aims to combine the relative benefits of the well-known per-request and per-flow approaches.…”