Results 181 to 190 of about 1,925 (222)

Cloud Datacenter SDN Monitoring

Proceedings of the Internet Measurement Conference 2018, 2018
Cloud customers require highly reliable and performant leased datacenter infrastructure to deliver quality service for their users. It is thus critical for cloud providers to quickly detect and mitigate infrastructure faults. While much is known about managing faults that arise in the datacenter physical infrastructure (i.e., network and server ...
Arjun Roy, Deepak Bansal, David Brumley, Harish Kumar Chandrappa, Parag Sharma, Rishabh Tewari, Behnaz Arzani, Alex C. Snoeren   +7 more
openaire   +2 more sources

LiveCloud: A lucid orchestrator for cloud datacenters

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012
Cloud datacenters, providing Infrastructure as a Service (IaaS), need to lively orchestrate numerous resource elements with diverse requirements of service provision, which most existing approaches are difficult to meet elastically. This paper presents LiveCloud, a management framework for resources in cloud datacenters.
Xiang Wang, Zhi Liu 0001, Yaxuan Qi, Jun Li 0003   +3 more
openaire   +1 more source

Blockchain-Enabled Reengineering of Cloud Datacenters

IEEE Cloud Computing, 2018
Blockchains, a decentralized storage technique, have many applications, including in reengineering cloud datacenters. This article proposes a conceptual model for fusing blockchains and cloud computing for additional value creation. The proposed model comprises three deployment modes: Cloud over Blockchain (CoB), Blockchain over Cloud (BoC), and Mixed ...
Keke Gai, Kim-Kwang Raymond Choo, Liehuang Zhu   +2 more
openaire   +1 more source

Reliable State Monitoring in Cloud Datacenters

2012 IEEE Fifth International Conference on Cloud Computing, 2012
State monitoring is widely used for detecting critical events and abnormalities of distributed systems. As the scale of such systems grows and the degree of workload consolidation increases in Cloud data centers, node failures and performance interferences, especially transient ones, become the norm rather than the exception.
Shicong Meng, Arun Iyengar, Isabelle Rouvellou, Ling Liu 0001, Kisung Lee, Balaji Palanisamy, Yuzhe Richard Tang   +6 more
openaire   +1 more source

Machine Learning for Load Balancing in Cloud Datacenters

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
In the cloud datacenter, the resource utilization of different virtual machine (VM) and physical machine (PM) varies with time and it may lead to SLO violation and then degrade the application performance. In order to minimize the probability of SLO violation, load balancing is used to dynamically migrate VMs from overloaded PMs to underloaded PMs ...
Rakshita Kaulgud Ramesh, Haoyu Wang 0003, Haiying Shen, Zhiming Fan   +3 more
openaire   +1 more source

Smart Cloud Seeding for BitTorrent in Datacenters

IEEE Internet Computing, 2014
Cloud content providers must deliver vast amounts of data to an ever-growing number of users while maintaining responsive performance, thus increasing bandwidth-provisioning expenditures. To mitigate this problem, the authors transparently integrate BitTorrent into the cloud provider infrastructure and leverage users' upstream capacity to reduce ...
Xavier León, Rahma Chaabouni 0002, Marc Sánchez Artigas, Pedro García López   +3 more
openaire   +1 more source

Latency Comparison of Cloud Datacenters and Edge Servers

GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020
Edge computing has become a recent approach to bring computing resources closer to the end-user. While offline processing and aggregate data reside in the cloud, edge computing is promoted for latency-critical and bandwidth-hungry tasks. In this direction, it is crucial to quantify the expected latency reduction when edge servers are preferred over ...
Batyr Charyyev, Engin Arslan, Mehmet Hadi Gunes   +2 more
openaire   +1 more source

An Energy-Efficient VM Placement in Cloud Datacenter

2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014
Energy efficiency of cloud computing attracts a great deal of attention recently more than ever. In this paper, based on the characteristics of virtual cloud environment and MapReduce workload, an energy-efficient VM placement is presented. The method involves two algorithms: Tight Recipe Packing (TRP) and Virtual Cluster Scaling (VCS).
Fei Teng 0001, Danting Deng, Lei Yu 0009, Frédéric Magoulès   +3 more
openaire   +2 more sources

Research on Cloud Datacenter Interconnect Technology

2015
The Cloud datacenter interconnect solution was proposed, specified in Cloud Management System (CMS), front-end network and back-end storage network. The characteristics of cloud application as well as the requirements of cloud datacenter interconnect were analyzed.
Nan Chen, Yongbing Fan, Xiaowu He, Yi Liu, Qiaoling Li   +4 more
openaire   +1 more source

Building an Elastic Cloud out of Small Datacenters

2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2013
Cloud providers may operate large-scale data centers in a few locations. We argue that deploying many small-scale data centers at network edge can significantly improve user experience in terms of latency. Small-scale data centers, however, may not be able to provide elastic services.
Indra Widjaja, Sem C. Borst, Iraj Saniee
openaire   +1 more source