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6G network architectures will usher in a wave of innovative services and capabilities, introducing concepts like split computing and dynamic processing nodes. This implicates a paradigm where accessing resources seamlessly aligns with…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-12 Ingo Friese , Jochen Klaffer , Mandy Galkow-Schneider , Sergiy Melnyk , Qiuheng Zhou , Hans Dieter Schotten

Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built. Prior work has used power capping to shave the rare power…

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs)…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-03 Muhammad Junaid Farooq , Quanyan Zhu

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

Advances in web technologies have driven massive content uploads and requests that can be identified by the increased usage of multimedia web and social web services. This situation enforces the content providers to scale their…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-15 Mikael Fernandus Simalango , Sangyoon Oh

Serverless computing platforms currently rely on basic pricing schemes that are static and do not reflect customer feedback. This leads to significant inefficiencies from a total utility perspective. As one of the fastest-growing cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-26 Vipul Gupta , Soham Phade , Thomas Courtade , Kannan Ramchandran

Problem Definition: Allocating sufficient capacity to cloud services is a challenging task, especially when demand is time-varying, heterogeneous, contains batches, and requires multiple types of resources for processing. In this setting,…

Applications · Statistics 2022-09-21 Eugene Furman , Arik Senderovich , Shane Bergsma , J. Christopher Beck

Computation-as-a-Service (CaaS) offerings have gained traction in the last few years due to their effectiveness in balancing between the scalability of Software-as-a-Service and the customisation possibilities of Infrastructure-as-a-Service…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Joseph Doyle , Vasileios Giotsas , Mohammad Ashraful Anam , Yiannis Andreopoulos

Scalability is an important characteristic of cloud computing. With scalability, cost is minimized by provisioning and releasing resources according to demand. Most of current Infrastructure as a Service (IaaS) providers deliver…

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

In the past few decades, the rapid development of information and internet technologies has spawned massive amounts of data and information. The information explosion drives many enterprises or individuals to seek to rent cloud computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-14 Junjie Chu , Prashant Singh , Salman Toor

In Cloud computing environment the resources are managed dynamically based on the need and demand for resources for a particular task. With a lot of challenges to be addressed our concern is Load balancing where load balancing is done for…

Networking and Internet Architecture · Computer Science 2020-10-02 Mohammad Riyaz Belgaum , Safeeullah Soomro , Zainab Alansari , Shahrulniza Musa , Muhammad Alam , Mazliham Mohd Su'ud

In a cloud-native era, the Kubernetes-based workflow engine enables workflow containerized execution through the inherent abilities of Kubernetes. However, when encountering continuous workflow requests and unexpected resource request…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-04 Chenggang Shan , Chuge Wu , Yuanqing Xia , Zehua Guo , Danyang Liu , Jinhui Zhang

Rising trends in the number of customers turning to the cloud for their computing needs has made effective resource allocation imperative for cloud service providers. In order to maximize profits and reduce waste, providers have started to…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-06 Rachel Householder , Scott Arnold , Robert Green

The applications that are deployed in the cloud to provide services to the users encompass a large number of interconnected dependent cloud components. Multiple identical components are scheduled to run concurrently in order to handle…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Chinmaya Kumar Dehury , Prasan Kumar Sahoo , Bharadwaj Veeravalli

Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

Recent studies in different fields of science caused emergence of needs for high performance computing systems like Cloud. A critical issue in design and implementation of such systems is resource allocation which is directly affected by…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-05 Masoud Nosrati , Abdolah Chalechale , Ronak Karimi

Modern data centers suffer from immense power consumption. As a result, data center operators have heavily invested in capacity scaling solutions, which dynamically deactivate servers if the demand is low and activate them again when the…

Data Structures and Algorithms · Computer Science 2022-04-21 Daan Rutten , Debankur Mukherjee

Industries are considering the adoption of cloud computing for real-time applications due to current improvements in network latencies and the advent of Fog and Edge computing. To create an RT-cloud capable of hosting real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-19 Gabriele Monaco , Gautam Gala , Gerhard Fohler

Proliferation of cloud computing has revolutionized hosting and delivery of Internet-based application services. However, with the constant launch of new cloud services and capabilities almost every month by both big (e.g., Amazon Web…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-09 Miranda Zhang , Rajiv Ranjan , Michael Menzel , Surya Nepal , Peter Strazdins , Lizhe Wang

Cloud-native architecture is becoming increasingly crucial for today's cloud computing environments due to the need for speed and flexibility in developing applications. It utilizes microservice technology to break down traditional…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-30 Minxian Xu , Lei Yang , Yang Wang , Chengxi Gao , Linfeng Wen , Guoyao Xu , Liping Zhang , Kejiang Ye , Chengzhong Xu