Model-Driven Framework for Business Continuity Management

Winkler, Ulrich; Gilani, Wasif

doi:10.1007/978-1-4614-1614-2_14

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Recent approaches to BCM has concentrated on adding decision support to the continuity process [12] or automating the generation of a BCP [16]. Winkler and Gilani present in [16]] a model-driven approach to generate a BCP using model-transformation chains to connect data across the different phases in BCM. Their approach is closer to ours in the generation of the plan, but our analysis is enriched by incorporating a wellestablished requirements methodology as it is the case of KAOS [14].…”

Section: Related Workmentioning

confidence: 99%

Goal-Oriented Requirement Engineering Support for Business Continuity Planning

Arenas

Massonet

Ponsard

et al. 2015

Lecture Notes in Computer Science

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Business continuity is a key management process that aims to maintain and rapidly recover an organizations key business functions in the face of serious incidents. The resulting business continuity plan must identify the key business functions that must be resilient, define recovery of critical business functions and define contingency measures when recovery is not possible. This paper argues that the process of business continuity planning can be efficiently supported by a goal-oriented requirements engineering approach. The main benefits of a modelling approach include taking a holistic approach when analysing the organisation, providing quality checks and related guidance across in all the elaboration phases, an supporting the generation of the continuity plan from a business continuity model.

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Section: Related Workmentioning

confidence: 99%

Goal-Oriented Requirement Engineering Support for Business Continuity Planning

Arenas

Massonet

Ponsard

et al. 2015

Lecture Notes in Computer Science

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“…[5], [6] (2) A study on methods for collecting business continuity information in order to implement a BCM framework [7] (3) A study on effective measures in business continuity [8] (4) A study on standards for prioritizing risks [9] However, very few detailed studies have examined methods of determining appropriate incident response measures based on risk analysis. [5] In addition, no studies could be identified that examined the different response sequences which could result from initial incidents.…”

Section: Related Workmentioning

confidence: 99%

Development and Evaluation of a Continuity Operation Plan Support System for an Information Technology System

Matsunaga

Sasaki

2015

IJCSDF

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Because organizations need to be able to deliver products and services at acceptable predefined levels, even in the wake of disruptive incidents, the number of enterprises implementing business continuity management (BCM) systems is increasing. However, during business continuity risk planning, difficulties are often encountered when attempting to determine the most appropriate BCM to implement. To solve this problem, we have developed a BCM implementation method for use in combination with event tree analysis (ETA), which is used to secure safety in engineering, and the program-evaluation-andreview-technique (PERT), which is used in operations research, and which also includes a function for showing analysis results in an easy-to-understand manner. We have also developed a system to support the above method and have confirmed the utility of the developed system by applying it to a small example.

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“…To make this possible, we have the proposal of the work [23], where the treatment of this requirement is accomplished through the use of Model Driver Engineering -MDE, allowing a higher abstraction of the process and also the exchange of these needs, as well as the creation and reuse of new features and functionality. This view is supported by the work [24], which address security as critical aspect in Cloud environments.…”

Section: B Sla For Cloud Computingmentioning

confidence: 99%

Automatic generation of platforms in cloud computing

Borges

Souza

Schulze

et al. 2012

2012 IEEE Network Operations and Management Symposium

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Cloud computing has been established in recent years as an important area of research. This reality has been consolidated because, currently, tasks such as obtainment, manipulation, sharing and exploitation of large amounts of data are common and require many computational resources, so cloud computing can contribute because it can provide this resources indefinitely, including processing, memory, storage and others, all them for immediate use.Cloud computing has many challenges, among them, the specification of work platforms in a cloud environment. In this context, the use of models can help insofar as they may contain several types of information that can be handled with the intention of automating the process of creation of an environment. A template can contain information about the user, hardware and software that can be used by computer systems to automatically build the necessary infrastructure for the operation of a virtual machine on a cloud computing environment. In addition, models can be easily exported to other formats used by cloud services providers.The use of concepts of Service Level Agreements -SLA to control the utilization of computational resources of a provider is common in computing environments and can be used to ensure the quality of services that being offered.The objective of this work is to combine these paradigms, cloud, models and SLA, in order to use the resources of a computational cloud to provide automatically a platform as a service -PaaS. This project will be developed in a web environment, using a model-driven approach to create the platforms and the management of resources and quality will be made by SLA.

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Model-Driven Framework for Business Continuity Management

Cited by 6 publications

References 6 publications

Goal-Oriented Requirement Engineering Support for Business Continuity Planning

Goal-Oriented Requirement Engineering Support for Business Continuity Planning

Development and Evaluation of a Continuity Operation Plan Support System for an Information Technology System

Automatic generation of platforms in cloud computing

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