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Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

Increased adoption of scientific workflows in the community has urged for the development of multi-tenant platforms that provide these workflow executions as a service. As a result, Workflow-as-a-Service (WaaS) concept has been created by…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-25 Muhammad H. Hilman , Maria A. Rodriguez , Rajkumar Buyya

Edge computing has become a very popular service that enables mobile devices to run complex tasks with the help of network-based computing resources. However, edge clouds are often resource-constrained, which makes resource allocation a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-02 Caroline Rublein , Fidan Mehmeti , Mark Mahon , Thomas F. La Porta

Cloud-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video conferencing. This paper addresses resource allocation for a…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

Dynamic nature of the cloud environment has made distributed resource management process a challenge for cloud service providers. The importance of maintaining the quality of service in accordance with customer expectations as well as the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-08 Sara Kardani-Moghaddam , Rajkumar Buyya , Kotagiri Ramamohanarao

Maximizing resource utilization by performing an efficient resource provisioning is a key factor for any cloud provider: commercial actors can maximize their revenues, whereas scientific and non-commercial providers can maximize their…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-29 Álvaro López García , Enol Fernández-del-Castillo , Isabel Campos Plasencia

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

Modern latency-critical online services often rely on composing results from a large number of server components. Hence the tail latency (e.g. the 99th percentile of response time), rather than the average, of these components determines…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-11 Rui Han , Junwei Wang , Siguang Huang , Chenrong Shao , Shulin Zhan , Jianfeng Zhan , Jose Luis Vazquez-Poletti

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

Elasticity is one of the key features of cloud computing that attracts many SaaS providers to minimize their services' cost. Cost is minimized by automatically provision and release computational resources depend on actual computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-13 Ashraf A. Shahin

Optimizing resource allocation for analytical workloads is vital for reducing costs of cloud-data services. At the same time, it is incredibly hard for users to allocate resources per query in serverless processing systems, and they…

Cloud computing has revolutionized the way organizations manage their IT infrastructure, but it has also introduced new challenges, such as managing cloud costs. The rapid adoption of artificial intelligence (AI) and machine learning (ML)…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Saurabh Deochake

Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-07 Ashraf A. Shahin

Cloud elasticity - the ability to use as much resources as needed at any given time - and low cost - a user pays only for the resources it consumes - represent solid incentives for many organizations to migrate some of their computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-15 Ashkan Paya , Dan C. Marinescu

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

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

Cloud providers sell their idle capacity on markets through an auction-like mechanism to increase their return on investment. The instances sold in this way are called spot instances. In spite that spot instances are usually 90% cheaper…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-08 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

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

Function-as-a-Service is a novel type of cloud service used for creating distributed applications and utilizing computing resources. Application developer supplies source code of cloud functions, which are small applications or application…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-10 Maciej Pawlik , Kamil Figiela , Maciej Malawski