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Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self service provisioning, elasticity and pay per use are the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-20 Syed Arshad Ali , Mansaf Alam

Cloud Computing is the latest blooming technology in the era of Computer Science and Information Technology domain. There is an enormous pool of data centres, which are termed as Clouds where the services and associated data are being…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-30 Nallakumar R. , Sruthi Priya K. S

Enterprises are driving towards less cost, more availability, agility, managed risk - all of which is accelerated towards Cloud Computing. Cloud is not a particular product, but a way of delivering IT services that are consumable on demand,…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-07 Arokia Paul Rajan , Shanmugapriyaa

Cloud computing is an increasingly popular computing paradigm, now proving a necessity for utility computing services. Each provider offers a unique service portfolio with a range of resource configurations. Resource provisioning for cloud…

Networking and Internet Architecture · Computer Science 2016-11-17 Mohamed Abu Sharkh , Manar Jammal , Abdallah Shami , Abdelkader Ouda

Database platform-as-a-service (dbPaaS) is developing rapidly and a large number of databases have been migrated to run on the Clouds for the low cost and flexibility. Emerging Clouds rely on the tenants to provide the resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-30 Ningxin Zheng , Quan Chen , Yong Yang , Wei Zhang , Jin Li , Wenli Zheng , Minyi Guo

Workload predictions in cloud computing is obviously an important topic. Most of the existing publications employ various time series techniques, that might be difficult to implement. We suggest here another route, which has already been…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-12 Michel Fliess , Cédric Join , Maria Bekcheva , Alireza Moradi , Hugues Mounier

In cloud computing management, the dynamic adaptation of computing resource allocations under time-varying workload is an active domain of investigation. Several control strategies were already proposed. Here the model-free control setting…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-10 Maria Bekcheva , Michel Fliess , Cédric Join , Alireza Moradi , Hugues Mounier

HPC and Cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with a shared execution platform that provides transparent access…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-10 Torsten Hoefler , Marcin Copik , Pete Beckman , Andrew Jones , Ian Foster , Manish Parashar , Daniel Reed , Matthias Troyer , Thomas Schulthess , Dan Ernst , Jack Dongarra

IaaS clouds invest substantial capital in operating their data centers. Reducing the cost of resource provisioning, is their forever pursuing goal. Computing resource trading among multiple IaaS clouds provide a potential for IaaS clouds to…

Networking and Internet Architecture · Computer Science 2013-12-10 Jian Zhao , Chuan Wu , Zongpeng Li

Efficient load balancing is crucial in cloud computing environments to ensure optimal resource utilization, minimize response times, and prevent server overload. Traditional load balancing algorithms, such as round-robin or least…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-10 Kavish Chawla

Makespan minimization in tasks scheduling of infrastructure as a service (IaaS) cloud is an NP-hard problem. A number of techniques had been used in the past to optimize the makespan time of scheduled tasks in IaaS cloud, which is…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-10-13 Shafii Muhammad Abdulhamid , Muhammad Shafie Abd Latiff , Ismaila Idris

In hosting environments such as IaaS clouds, desirable application performance is usually guaranteed through the use of Service Level Agreements (SLAs), which specify minimal fractions of resource capacities that must be allocated for use…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-03 Vatche Ishakian , Azer Bestavros , Assaf Kfoury

With the advantages that cloud computing offers in terms of platform as a service, software as a service, and infrastructure as a service, data engineers and data scientists are able to leverage cloud computing for their ETL/ELT (extract,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-01 Mohammad Rehman , Hairong Wang

Reliability, security and stability of cloud services without sacrificing too much resources have become a desired feature in the area of workload management in clouds. The paper proposes and evaluates a lightweight framework for scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-09 Muhammed Abdulazeez , Pawel Garncarek , Dariusz R. Kowalski , Prudence W. H. Wong

Workflow management systems (WMS) support the composition and deployment of workflow-oriented applications in distributed computing environments. They hide the complexity of managing large-scale applications, which includes the controlling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Muhammad H. Hilman , Maria A. Rodriguez , Rajkumar Buyya

Cloud computing offers on-demand resource access, regulated by Service-Level Agreements (SLAs) between consumers and Cloud Service Providers (CSPs). SLA violations can impact efficiency and CSP profitability. In this work, we propose an…

Machine Learning · Computer Science 2025-07-30 Siana Rizwan , Tasnim Ahmed , Salimur Choudhury

This paper proposes a conceptual model for a secure and performance-efficient workload management model in cloud environments. In this model, a resource management unit is employed for energy and performance proficient allocation of virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-01 Deepika Saxena , Ashutosh Kumar Singh

Serverless computing is a widely adopted cloud execution model composed of Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) offerings. The increased level of abstraction makes vendor lock-in inherent to serverless computing,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-29 Haidong Zhao , Zakaria Benomar , Tobias Pfandzelter , Nikolaos Georgantas

Cloud performance fluctuates due to factors such as resource contention and workload changes. These factors can be short-term, seasonal, or long-term. Their effects are often intertwined in performance traces, making performance management…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-12 Shimul Debnath , William Hart , Lori Pollock , Donald Lien , Wei Wang

Cloud resource allocation has emerged as a major challenge in modern computing environments, with organizations struggling to manage complex, dynamic workloads while optimizing performance and cost efficiency. Traditional heuristic…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Deep Bodra , Sushil Khairnar