Research Challenges for Enterprise Cloud Computing

Cloud computing represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers over the internet from large-scale data centers - or “clouds”. This paper discusses some of the research challenges for cloud computing from an enterprise or organizational perspective, and puts them in context by reviewing the existing body of literature in cloud computing. Various research challenges relating to the following topics are discussed: the organizational changes brought about by cloud computing; the economic and organizational implications of its utility billing model; the security, legal and privacy issues that cloud computing raises. It is important to highlight these research challenges because cloud computing is not simply about a technological improvement of data centers but a fundamental change in how IT is provisioned and used. This type of research has the potential to influence wider adoption of cloud computing in enterprise, and in the consumer market too.

💡 Research Summary

The paper positions cloud computing not merely as an upgrade of data‑center technology but as a fundamental shift from a product‑based IT model—where organizations purchase and own hardware and software—to a service‑based model delivered over the Internet from large‑scale “clouds.” From an enterprise perspective, this shift creates a set of interrelated research challenges that span organizational design, economic billing, security, legal compliance, and human‑resource management.

First, the authors argue that traditional, centrally managed IT departments must evolve into “service delivery organizations.” This transformation requires new governance structures, service‑catalog management, Service Level Agreement (SLA) negotiation, and the adoption of cross‑functional operational frameworks such as DevOps, FinOps, and BizOps. Research is needed to model these organizational changes, quantify the impact on internal processes, and develop tools that support dynamic service provisioning and internal customer relationship management.

Second, the utility‑based, pay‑as‑you‑go billing model introduces both transparency and volatility in IT spending. Enterprises face the risk of cost overruns, unpredictable budgeting, and complex multi‑cloud pricing structures. The paper calls for rigorous cost‑prediction models, simulation environments, and optimization algorithms that can allocate workloads across providers to minimize total cost of ownership while respecting performance and compliance constraints. Moreover, it highlights the need for automated cost‑governance pipelines that integrate finance and IT data, enforce charge‑back policies, and provide real‑time visibility into consumption patterns.

Third, security, privacy, and legal compliance remain paramount. While cloud providers assume responsibility for physical security and baseline infrastructure protection, customers retain responsibility for data sovereignty, access control, encryption key management, audit logging, and regulatory adherence—a shared‑responsibility model that must be precisely delineated. The authors suggest research into automated compliance verification, policy‑as‑code frameworks, and cryptographic key‑management services that can operate across heterogeneous cloud environments. They also emphasize the challenges faced by multinational firms, which must reconcile divergent data‑protection statutes, cross‑border data‑flow restrictions, and contractual clauses embedded in Cloud Service Level Agreements (CSLAs).

Fourth, the human and cultural dimension is identified as a critical success factor. Existing IT staff need upskilling in cloud‑native technologies (containers, serverless computing, Infrastructure‑as‑Code), while organizations must attract new talent with specialized cloud expertise. Change‑management methodologies, leadership commitment, and the cultivation of a cloud‑first culture are essential to overcome resistance and to embed new ways of working. Empirical studies on training effectiveness, talent retention, and cultural adoption are therefore called for.

Finally, the paper synthesizes these strands into a research agenda: (1) systematic modeling of enterprise organizational redesign for cloud service delivery; (2) development of predictive, optimization‑driven cost management and financial governance tools; (3) formalization and automation of shared‑responsibility security and compliance mechanisms; and (4) evidence‑based investigations of workforce transformation and cultural change. By addressing these challenges, scholars and practitioners can facilitate broader, more secure, and economically sustainable adoption of cloud computing in both enterprise and consumer markets.