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Federated learning is proposed by Google to safeguard data privacy through training models locally on users' devices. However, with deep learning models growing in size to achieve better results, it becomes increasingly difficult to…

Machine Learning · Computer Science 2022-02-25 Jie Zhu , Shenggui Li , Yang You

The amalgamation of Internet of Things and the smart grid enables the energy optimal scheduling of appliances based on user needs and dynamic energy prices. Additionally, progress in local storage technology calls for exploiting additional…

Systems and Control · Electrical Eng. & Systems 2022-11-17 Brian Setz , Kawsar Haghshenas , Marco Aiello

NoSQL document stores are becoming increasingly popular as backends in web development. Not only do they scale out to large volumes of data, many systems are even custom-tailored for this domain: NoSQL document stores like Google Cloud…

Databases · Computer Science 2021-11-02 Stefanie Scherzinger , Andreas Thor

Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner. A framework is required to distribute the…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-24 Gita Shah , Annappa , K. C. Shet

Internet-enabled things and devices operating in the physical world are increasingly integrated in modern distributed systems, supporting functionalities that require assurances that certain critical requirements are satisfied by the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-24 Christos Tsigkanos , Martin Garriga , Luciano Baresi , Carlo Ghezzi

Fragmentation leads to unpredictable and degraded application performance. While these problems have been studied in detail for desktop filesystem workloads, this study examines newer systems such as scalable object stores and multimedia…

Databases · Computer Science 2009-08-21 Russell Sears , Catharine van Ingen

Microservice architecture has transformed traditional monolithic applications into lightweight components. Scaling these lightweight microservices is more efficient than scaling servers. However, scaling microservices still faces the…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-06 Linfeng Wen , Minxian Xu , Sukhpal Singh Gill , Muhammad Hafizhuddin Hilman , Satish Narayana Srirama , Kejiang Ye , Chengzhong Xu

Container technique is gaining increasing attention in recent years and has become an alternative to traditional virtual machines. Some of the primary motivations for the enterprise to adopt the container technology include its convenience…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-06 Qi Zhang , Ling Liu , Calton Pu , Qiwei Dou , Liren Wu , Wei Zhou

The most of computing environments in the IT support organization like NIC are designed to run in centralized datacentre. The centralized infrastructure of various development projects are used to deploy their services on it and connecting…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-05-28 S. M. M. M Kalyan kumar , Dr S C Pradhan

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

Spot instances are virtual machines offered at 60-90% lower cost that can be reclaimed at any time, with only a short warning period. Spot instances have already been used to significantly reduce the cost of processing workloads in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-24 Malte Brodmann , Nikolas Ioannou , Bernard Metzler , Jonas Pfefferle , Ana Klimovic

Bag-of-Distributed-Tasks (BoDT) application is the collection of identical and independent tasks each of which requires a piece of input data located around the world. As a result, Cloud computing offers an ef- fective way to execute BoT…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-02 Long Thai , Blesson Varghese , Adam Barker

As more and more users begin to use the cloud for their computing needs, datacenter operators are increasingly pressed to effectively allocate their resources among these client users. Yet while much work has been done in this area,…

Computers and Society · Computer Science 2012-12-11 Carlee Joe-Wong , Soumya Sen

Cloud computing has become a major approach to help reproduce computational experiments. Yet there are still two main difficulties in reproducing batch based big data analytics (including descriptive and predictive analytics) in the cloud.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-13 Xin Wang , Pei Guo , Xingyan Li , Aryya Gangopadhyay , Carl E. Busart , Jade Freeman , Jianwu Wang

Today's cloud storage services must offer storage reliability and fast data retrieval for large amount of data without sacrificing storage cost. We present SEARS, a cloud-based storage system which integrates erasure coding and data…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Ying Li , Katherine Guo , Xin Wang , Emina Soljanin , Thomas Woo

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

As the complexity of enterprise systems increases, the need for monitoring and analyzing such systems also grows. A number of companies have built sophisticated monitoring tools that go far beyond simple resource utilization reports. For…

Spot instances offer a cost-effective solution for applications running in the cloud computing environment. However, it is challenging to run long-running jobs on spot instances because they are subject to unpredictable evictions. Here, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-07 Ashley Tung , Haiyan Wang , Yue Li , Zhong Wang , Jingchao Sun

This paper studies the optimal and fair service allocation for a variety of mobile applications (single or group and collaborative mobile applications) in mobile cloud computing. We exploit the observation that using tiered clouds, i.e.…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-23 M. Reza Rahimi , Nalini Venkatasubramanian , Sharad Mehrotra , Athanasios V. Vasilakos

Container technologies have been evolving rapidly in the cloud-native era. Kubernetes, as a production-grade container orchestration platform, has been proven to be successful at managing containerized applications in on-premises…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-25 Chao Zheng , Qinghui Zhuang , Fei Guo
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