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As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-21 Nidhika Chauhan , Navneet Kaur , Kamaljit Singh Saini , Sahil Verma , Abdulatif Alabdulatif , Ruba Abu Khurma , Maribel Garcia-Arenas , Pedro A. Castillo

Nowadays cloud computing adoption as a form of hosted application and services is widespread due to decreasing costs of hardware, software, and maintenance. Cloud enables access to a shared pool of virtual resources hosted in large…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-14 Niloofar Gholipour , Ehsan Arianyan , Rajkumar Buyya

Cloud Computing is a new era of remote computing / Internet based computing where one can access their personal resources easily from any computer through Internet. Cloud delivers computing as a utility as it is available to the cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-02 Swapnil M Parikh , Narendra M Patel , Harshadkumar B Prajapati

The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and dynamic workloads. Over the last few years, the prediction of resource usage and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-07 Deepika Saxena , Jitendra Kumar , Ashutosh Kumar Singh , Stefan Schmid

The workload prediction and resource allocation significantly play an inevitable role in production of an efficient cloud environment. The proactive estimation of future workload followed by decision of resource allocation have become a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-30 Deepika Saxena , Ashutosh Kumar Singh

Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, placement, routing, isolation, and remediation. The survey…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-29 Ming Chen , Muhammed Tawfiqul Islam , Maria Rodriguez Read , Rajkumar Buyya

This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency. It identifies the need for integrated computing and cooling systems management and learning-based solutions in…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-07 Shashikant Ilager , Rajkumar Buyya

Cloud Computing, as one of the most promising computing paradigms, has become increasingly accepted in industry. Numerous commercial providers have started to supply public Cloud services, and corresponding performance evaluation is then…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-11 Zheng Li , Liam O'Brien , Rainbow Cai , He Zhang

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

Cloud-native applications have significantly advanced the development and scalability of online services through the use of microservices and modular architectures. However, achieving adaptability, resilience, and efficient performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Apostolos Angelis , George Kousiouris

Cloud computing is being viewed as the technology of today and the future. Through this paradigm, the customers gain access to shared computing resources located in remote data centers that are hosted by cloud providers (CP). This…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Yasir Shoaib , Olivia Das

Artificial Intelligence (AI) and Internet of Things (IoT) applications are rapidly growing in today's world where they are continuously connected to the internet and process, store and exchange information among the devices and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-01 Saravanan Ramanathan , Nitin Shivaraman , Seima Suryasekaran , Arvind Easwaran , Etienne Borde , Sebastian Steinhorst

The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-10 Sukhpal Singh Gill , Rajkumar Buyya

Modern cloud-native systems increasingly rely on multi-cluster deployments to support scalability, resilience, and geographic distribution. However, existing resource management approaches remain largely reactive and cluster-centric,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-01 Vinoth Punniyamoorthy , Akash Kumar Agarwal , Bikesh Kumar , Abhirup Mazumder , Kabilan Kannan , Sumit Saha

Understanding inter-VM interference is of paramount importance to provide a sound knowledge and understand where performance degradation comes from in the current public cloud. With this aim, this paper devises a workload taxonomy that…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-13 Lucia Pons , Josué Feliu , José Puche , Chaoyi Huang , Salvador Petit , Julio Pons , María E. Gómez , Julio Sahuquillo

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

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

Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices, at the edge of the current network. To achieve higher performance in this new…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-20 Klervie Toczé , Simin Nadjm-Tehrani

Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, among distinct users with different demand patterns as well as…

Data Structures and Algorithms · Computer Science 2021-01-27 Sebastian Perez-Salazar , Ishai Menache , Mohit Singh , Alejandro Toriello

Cloud computing has rapidly emerged as model for delivering Internet-based utility computing services. In cloud computing, Infrastructure as a Service (IaaS) is one of the most important and rapidly growing fields. Cloud providers provide…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-12 Tahseen Khan , Wenhong Tian , Rajkumar Buyya
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