CLOUD DEPLOYMENT MODELS FOR RESILIENCE INTERNET DISASTER RECOVERY: A REVIEW

Organizations of all sizes require safeguarding of their data on regular basis, which makes disaster recovery and backup procedures, a much desired responsibility. This paper reviewed the various cloud deployment models for resilience internet disaster recovery in cloud computing environment. The work was able to show the relevance of deployment of appropriate disaster recovery models in cloud computing environment that can help to improve quality of service and customer confidence in their service provider

DEVELOPMENT OF AN ENHANCED CLOUD DEPLOYMENT MODEL FOR RESILIENT INTERNET DISASTER RECOVERY AND MANAGEMENT

Effective Internet disaster recovery and management is taking front burner consideration in organizations involved in Information Technology (IT) activities in order to safeguard their data and services on regular basis. When disaster, for instance knocks down the infrastructure of a single service provider, it usually will have ripple effect on the dependants that even a short period of down time can result in significant financial loss. Therefore, organizations may need disaster recovery plan or independent business continuity plan (IBCP) and backup policy that they can afford while at the same time achieving the primary aim of Recovery Point Objective (RPO) and Recovery Time Objective (RTO). This paper presents a hybrid of three Internet disaster recovery models of TAIJI, SECONDSITE and HS-DRT which can help organizations recover more quickly whenever Internet disaster occurred in their platforms. The system was developed using a combination of Structural System Analysis and Design Methodology (SSADM), Dynamic System and Development Methodology (DSDM) and Object Oriented and Design Methodology (OOADM). Java Enterprise (JEE) Technology in conjunction with NetBean1.0. Integrated Development Environment IDE were used at the front end, while MySQL server was used to implement the backend. The result obtained showed that a hybrid of Taji, SecondSite and HS-DRT which combined the features of; replication, duplication, server watch dog, check pointing, encryption, decryption, fragmentation, defragmentation and stateless services indicated an enhanced model for disaster recovery, since the deficiencies of each of those models hybridized were addressed through such features exhibited by the new model, which include; checksumming, compression and decompressio

Cloud Deployment Models for Resilience Internet Disaster Recovery: A Review

Organizations of all sizes require safeguarding of their data on regular basis, which makes disaster recovery and backup procedures, a much desired responsibility. This paper reviewed the various cloud deployment models for resilience internet disaster recovery in cloud computing environment. The work was able to show the relevance of deployment of appropriate disaster recovery models in cloud computing environment that can help to improve quality of service and customer confidence in their service provider