Pemanfaatan Process Mining pada E-commerce

Organisasi menyimpan rekaman aktivitas proses bisnis yang terjadi pada proses di lapangan dalam log data dengan berbagai format. Rekaman aktivitas ini disimpan dalam rangka menghasilkan sebuah model proses bisnis berdasarkan aktivitas pengguna pada proses nyata di lapangan. Dari proses model yang dihasilkan dapat dilakukan analisis tentang kesesuaian antara proses bisnis yang terjadi pada proses nyata di lapangan dengan proses bisnis yang diharapakan oleh organisasi. Analisis ini disebut sebagai conformance checking yang bertujuan untuk mendeteksi deviasi yang terjadi antara proses bisnis yang diharapkan dengan proses bisnis dari proses nyata di lapangan dan sebaliknya. Suatu proses bisnis dikatakan sudah sesuai dengan regulasi (compliant) apabila tidak ada deviasi/nonconformance dalam eksekusinya dari proses bisnis yang telah didefinisikan mengikuti standar

Advanced service monitoring configurations with SLA decomposition and selection

Service Level Agreements (SLAs) for Software Services aim to clearly identify the service level commitments established between service requesters and providers. The commitments that are agreed however can be expressed in complex notations through a combination of expressions that need to evaluated and monitored efficiently. The dynamic allocation of the responsibility for monitoring SLAs (and often different parts within them) to different monitoring components is necessary as both SLAs and the components available for monitoring them may change dynamically during the operation of a service based system. In this paper we discuss an approach to supporting this dynamic configuration, and in particular, how SLAs expressed in higher-level notations can be efficiently decomposed and appropriate monitoring components dynamically allocated for each part of the agreements. The approach is illustrated with mechanical support in the form of a configuration service which can be incorporated into SLA-based service monitoring infrastructures

A Framework for Hierarchical and Recursive Monitoring of Service Based Systems

Runtime monitoring of Service Based Systems (SBSs) usually relies on information derived from I/O messages exchanged within business processes implementing services. When service provisioning is regulated by complex Service Level Agreements (SLAs) between service requesters, (composed) services, and infrastructure providers, monitoring may require additional features, such as (i) coordination among events captured at different sources involved in service provisioning and (ii) delegation of properties monitoring to local sites. This paper discusses an architecture and engagement protocol supporting the two aforementioned requirements for monitoring complex SLA-driven service provisioning

Web Service Reputation Evaluation Based on QoS Measurement

In the early service transactions, quality of service (QoS) information was published by service provider which was not always true and credible. For better verification the trust of the QoS information was provided by the Web service. In this paper, the factual QoS running data are collected by our WS-QoS measurement tool; based on these objectivity data, an algorithm compares the difference of the offered and measured quality data of the service and gives the similarity, and then a reputation evaluation method computes the reputation level of the Web service based on the similarity. The initial implementation and experiment with three Web services' example show that this approach is feasible and these values can act as the references for subsequent consumers to select the service

Establishing and Monitoring SLAs in complex Service Based Systems

In modern service economies, service provisioning needs to be regulated by complex SLA hierarchies among providers of heterogeneous services, defined at the business, software, and infrastructure layers. Starting from the SLA Management framework defined in the SLA@SOI EU FP7 Integrated Project, we focus on the relationship between establishment and monitoring of such SLAs, showing how the two processes become tightly interleaved in order to provide meaningful mechanisms for SLA management. We first describe the process for SLA establishment adopted within the framework; then, we propose an architecture for monitoring established SLAs, which satisfies the two main requirements introduced by SLA establishment: the availability of historical data for evaluating SLA offers and the assessment of the capability to monitor the terms in a SLA offer

Dynamic set-up of monitoring infrastructures for service based systems

Service based systems are intrinsically dynamic as the services deployed by them can be replaced at runtime. When this happens, the Service Level Agreements (SLAs) that regulate the provision of services may also need to change. Following such changes, the monitoring infrastructure that is used to monitor SLAs may also need to be modified to ensure the continuous provision of the necessary runtime checks. This paper presents a framework that supports the dynamic assessment of the monitorability of SLAs terms and the dynamic setup of an appropriate infrastructure for monitoring them following such changes. The monitorability checks are based on comparisons between the SLA terms for specific services and descriptions of the monitoring capabilities of these services which are expressed in languages introduced in the paper. The paper presents a prototype implementation of the framework and the results of a preliminary evaluation of it

Continuous Monitoring in Evolving Business Networks

The literature on continuous monitoring of cross-organizational processes, executed within virtual enterprises or business networks, considers monitoring as an issue regarding the network formation, since what can be monitored during process execution is fixed when the network is established. In particular, the impact of evolving agreements in such networks on continuous monitoring is not considered. Also, monitoring is limited to process execution progress and simple process data. In this paper, we extend the possible monitoring options by linking monitoring requirements to generic clauses in agreements established across a network and focus on the problem of preserving the continuous monitorability of these clauses when the agreements evolve, i.e. they are introduced, dropped, or updated. We discuss mechanisms to preserve continuous monitorability in a business network for different types of agreement evolution and we design a conceptual and technical architecture for a continuous monitoring IT infrastructure that implements the requirements derived from such mechanisms