An iterative mathematical decision model for cloud migration: A cost and security risk approach

Abstract

This paper presents an iterative mathematical decision model for organizations to evaluate whether to invest in establishing information technology (IT) infrastructure on-premises or outsourcing IT services on a multicloud environment. This is because a single cloud cannot cover all types of users' functional/nonfunctional requirements, in addition to several drawbacks such as resource limitation, vendor lock-in, and prone to failure. On the other hand, multicloud brings several merits such as vendor lock-in avoidance, system fault tolerance, cost reduction, and better quality of service. The biggest challenge is in selecting an optimal web service composition in the ever increasing multicloud market in which each provider has its own pricing schemes and delivers variation in the service security level. In this regard, we embed a module in the cloud broker to log service downtime and different attacks to measure the security risk. If security tenets, namely, security service level agreement, such as availability, integrity, and confidentiality for mission-critical applications, are targeted by cybersecurity attacks, it causes disruption in business continuity, leading to financial losses or even business failure. To address this issue, our decision model extends the cost model by using the cost present value concept and the risk model by using the advanced mean failure cost concept, which are derived from the embedded module to quantify cloud competencies. Then, the cloud economic problem is transformed into a bioptimization problem, which minimizes cost and security risks simultaneously. To deal with the combinatorial problem, we extended a genetic algorithm to find a Pareto set of optimal solutions. To reach a concrete result and to illustrate the effectiveness of the decision model, we conducted different scenarios and a small-to-medium business IT development for a 5-year investment as a case study. The result of different implementation shows that multicloud is a promising and reliable solution against IT on-premises deployment.

Task scheduling mechanisms in cloud computing: A systematic review

“…It is on‐demand pay per use model, so a user has to pay some amount to access the resources offered by cloud service providers. The optimizing criteria for cloud task scheduling can be in such a way that it reduces the total execution cost of running tasks on processors …”

“…The optimizing criteria for cloud task scheduling can be in such a way that it reduces the total execution cost of running tasks on processors. 17 Makespan: Makespan is the time at which the latter task performs its execution. Another criterion can be said where the optimization is done on the basis of makespan and the schedule with the least makespan is considered to be the most optimized one.…”

An adaptive plan‐oriented and continuous software migration to cloud in dynamic enterprises

“…Some works have modeled the migration to cloud problem as an optimization problem to find the best deployment of software components on cloud platforms. Leymann et al have presented a migration method for finding optimal distribution of composite applications on multicloud providers.…”

Formal verification approaches in the web service composition: A comprehensive analysis of the current challenges for future research

“…The correctness analysis of IoT service composition in some critical systems such as health care and industrial systems is an important challenge . So, evaluation of the complex communications between IoT smart devices and cloud services using formal verification is a challengeable issue Verification of service interoperability between enterprise systems and cloud services is a new challenge for the service composition issue.…”

“…149 So, evaluation of the complex communications between IoT smart devices and cloud services 150 using formal verification is a challengeable issue. 151 • Verification of service interoperability 152,153 between enterprise systems and cloud services is a new challenge for the service composition issue. The service interoperability provides an integrated architecture to interact the cloud service providers and enterprise systems.…”