Cloud and HPC Headway for Next-Generation Management of Projects and Technologies


  • Sandesh Achar Director of Cloud Engineering, Workday Inc., Pleasanton, California, USA



High-Performance Computing (HPC), Cloud Computing, Next Generation Technology, Computing Technology


In the last decade, cloud computing has changed dramatically. More providers and administration contributions have entered the market, and cloud infrastructure, once limited to single-provider data centers, is expanding. This article discusses the shifting cloud foundation and the benefits of decentralizing computing from data centers. These patterns necessitate novel cloud computing architectures. These models may affect linking people and devices, data-intensive computing, the service space, and self-learning frameworks. Finally, we compiled a list of issues to consider while assessing modern cloud frameworks. Architectural and urban design projects breach scale and predictability constraints and seek enhanced competency, maintainability, energy performance, and cost-efficiency. Simulation and large-scale information processing drive this cycle. Advances in calculations and computer power help address the complex elements of a coordinated whole-structure framework. Adaptability is a barrier to the configuration, control, and development of whole-system frameworks. This position paper proposes several solutions for semi-or fully automated projects, such as short-plan boundary space exploration, large-scope high-accuracy simulation, and integrated multidisciplinary development. These computer-intensive operations were previously only accessible to the exam network. Once empowered by cloud computing and high-performance computing, these methods can stimulate intelligent plan measures, leading to enhanced results and shorter development times.


Download data is not yet available.


Achar, S. (2016). Software as a Service (SaaS) as Cloud Computing: Security and Risk vs. Technological Complexity. Engineering International, 4(2), 79–88.

Achar, S. (2017). Asthma Patients’ Cloud-Based Health Tracking and Monitoring System in Designed Flashpoint. Malaysian Journal of Medical and Biological Research, 4(2), 159-166.

Achar, S. (2018). Security of Accounting Data in Cloud Computing: A Conceptual Review. Asian Accounting and Auditing Advancement, 9(1), 60–72.

Achar, S. (2019). Early Consequences Regarding the Impact of Artificial Intelligence on International Trade. American Journal of Trade and Policy, 6(3), 119-126.

Gai, K., Qiu, M., Zhao, H., Tao, L., Zong, Z. (2016). Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, pp. 59, 46-54,

Grozev, N., & Buyya, R. (2014). Inter-Cloud Architectures, and Application Brokering: Taxonomy and Survey. Software: Practice and Experience, 44(3), 369–390.

Petcu, D., Macariu, G., Panic, S., Crăciun, C. (2013) Portable Cloud applications-From theory to practice. Future Generation Computer Systems, 29(6), 1417-1430.

Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., Nikolopoulos, D. S. (2016). Challenges and Opportunities in Edge Computing, in: IEEE International Conference on Smart Cloud, 20–26.

Villari, M., Fazio, M., Dustdar, S., Rana, O., Ranjan, R. (2016). Osmotic Computing: A New Paradigm for Edge/Cloud Integration, IEEE Cloud Computing, 3 (6), 76–83.

Wu, Z., & Madhyastha, H. V. (2013). Understanding the Latency Benefits of Multi-cloud Webservice Deployments, SIGCOMM Computer Communications Review, 43 (2), 13–20.




How to Cite

Achar, S. (2020). Cloud and HPC Headway for Next-Generation Management of Projects and Technologies. Asian Business Review, 10(3), 187–192.