From high availability and disaster recovery to business continuity solutions

Abstract

We first provide an overview of the state-of-the-art architectures for continuous availability, briefly covering such traditional concepts as high-availability (HA) clustering on distributed platforms and on the mainframe. We explain how HA can be achieved in environments based on Sun Microsystems J2EEe, which differ from classical clustering approaches, and we discuss how disaster recovery (DR) has become an extension of HA. The paper then presents aspects of service management, including the use and orchestration of process-based (ITILt) systems management tasks within DR scenarios, where the key challenge is to ensure the right level of redundancy in the integration and service-oriented management of heterogeneous information technology landscapes.

Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method

“…Disasters are significant outages with a greater critical impact to the modern business [10]. Nowadays, there are many more threats except for the natural hazards.…”

“…IT disaster recovery sites would be able to restore data and keep an organization's IT system operating during or after a disaster [3,9,10]. Since such IT disaster recovery problems happen frequently in the real world, a majority of previous studies were based on empirical studies by consultants or IT companies.…”

“…An IT disaster recovery site is a second location at which back-ups are available to the main data center in case of primary site failure [3,8]. IT disaster recovery sites would be able to restore data for the organization to ensure continuous operation, even in the presence of extensive failures that may render an entire site unoperational and for which local replication may be inadequate [9,10].…”

A Comprehensive Sensitivity Analysis of a Data Center Network with Server Virtualization for Business Continuity

“…We will show through availability as the measure of interest that such DCell-based DCNs expose better ability to tolerate node and switch failures. High availability (HA) and business continuity (BC) are the key factors in designing enterprise computing systems for a cloud-based business to be successful [28]. Nevertheless, as computing systems with high level of complexity and dependency have been coming out such as Infrastructure-asa-Service (IaaS), software defined data center (SDDC), and software defined network (SDN), the systems are likely prone to a variety of failures.…”

Reengineering business information systems to support business continuity

“…Arduini and Morabito (2010) argued that the financial sector sees business continuity not only as a technical or risk management issue but as a driver towards any discussion on mergers and acquisitions. Lump et al (2008) presented an overview of architectures for continuous availability concepts as HA clustering on distributed platforms and on the mainframe. Craighead et al (2007) considered business continuity issues within the supply chain mitigation capabilities and supply chain disruption severity.…”