Akbar Nabiollahi

Considering service strategy in ITIL V3 as a framework for IT Governance

IT governance is the process by which decisions are made around IT investments. A well-matured IT governance framework is based on three major elements: structure, process and communication. In addition, there are four objectives that drives IT governance and must be covered in IT governance processes: IT value and alignment, accountability, performance measurement, and risk management. As we know Information Technology Infrastructure Library (ITIL) is a public framework that describes Best Practice in IT service management. Although some researchers have considered ITIL V2 as a part of their IT Governance framework, this paper claims that ITIL V3 (new publication of ITIL in 2007) and “Service Strategy” as the core of this publication, can provide a well-matured framework for the governance of IT by covering all requirement of IT Governance.

A service based framework for integration of ITIL V3 and enterprise architecture

ITIL V3 could be introduced as a governance framework for IT service management (ITSM) and attempts to align IT investments with business objectives. Enterprise Architecture (EA) is also referred as a general framework for designing business and IT/IS architectures of organizations and it also attempts to align these architectures with business strategies. Our research tends to provide a service based framework for EA in order to meet IT Service Architecture requirements of ITIL V3. Regard to this issue our Integrated Service Architecture Framework (ISAF) is outlined here to be developed through main research. One of our goals is to provide a solution for practitioners in utilization of EA architectures in ITIL V3. Authors also hope this study would contribute in academic domain through bridging computer science and information system disciplines due to service-oriented technology and management aspects of the research.

A Method for Business Process Reengineering Based on Enterprise Ontology

Business Process Reengineering increases enterprises chance to survive in competition among organizations , but failure rate among reengineering efforts is high, so new methods that decrease failure, are needed, in this paper a business process reengineering method is presented that uses Enterprise Ontology for modelling the current system and its goal is to improve analysing current system and decreasing failure rate of BPR, and cost and time of performing processes, In this method instead of just modelling processes, processes with their : interactions and relations, environment, staffs and customers will be modelled in enterprise ontology. Also in choosing processes for reengineering step, after choosing them, processes which, according to the enterprise ontology, has the most connection with the chosen ones, will also be chosen to reengineer, finally this method is implemented on a company and As-Is and To-Be processes are simulated and compared by ARIS tools, Report and Simulation Experiment

A review on multiple perspectives of IT services in Information Systems and Computer Science (A multi-disciplinary overview)

Services innovations are intensively associated with ICT innovations and adoption and diffusion of ICT. Recently, various issues and views of services have been addressed through new disciplines of services. This paper attempts to review multiple disciplines of IT services in Information Systems and Computer Science briefly. While in SSME and ITSM, the focus is mostly on planning and management of IT services, in Services Computing discipline and in service oriented domains of services such as SOA and SOI, the emphasis is on service design and operation. As we discussed in this paper, there is a call to conducting research in service-oriented technology and management for the coming decade. Also there is a rich context for researchers on services design, services development, services marketing, services delivery, services management, and services operation from behavioural, economics, technical, and organizational perspectives in computer science, information systems, e-commerce and management disciplines. For achieving any research in this area, quantitative, qualitative and experiment methods, case and field studies, and design science approaches were encouraged to be considered.

Using J48 Tree Partitioning for Scalable SVM in Spam Detection

Support Vector Machines (SVM) is a state-of-the-art, powerful algorithm in machine learning which has strong regularization attributes. Regularization points to the model generalization to the new data. Therefore, SVM can be very efficient for spam detection. Although the experimental results represent that the performance of SVM is usually more than other algorithms, but its efficiency is decreased when the number of feature of spam is increased. In this paper, a scalable SVM is proposed by using J48 tree for spam detection. In the proposed method, dataset is firstly partitioned by using J48 tree, then, features selection are applied in each partition in parallel. Consistently, selected features are used in the training phase of SVM. The propose method is evaluated conducted some benchmark datasets and the results are compared with other algorithms such as SVM and GA-SVM. The experimental results show that the proposed method is scalable when the number of features are increased and has higher accuracy compared to SVM and GA-SVM.