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Trends and challenges in cloud datacenters

IEEE Cloud Computing, 2014
Next-generation datacenters (DCs) built on virtualization technologies are pivotal to the effective implementation of the cloud computing paradigm. To deliver the necessary services and quality of service, cloud DCs face major reliability and robustness challenges.
Kashif Bilal   +3 more
openaire   +2 more sources

IGOD: identification of geolocation of cloud datacenters

Journal of Information Security and Applications, 2015
Abstract The geolocation of data has become a key concern with the evolution of cloud computing. Although data migration is quite common and sometimes essential for the purpose of load balancing or service guarantees, at times, it creates a risk for the user and could even violate the service agreement.
Chetan Jaiswal, Vijay Kumar 0002
openaire   +1 more source

Characterizing Servers Workload in Cloud Datacenters

2015 3rd International Conference on Future Internet of Things and Cloud, 2015
Mastering the characteristics of the server workload is a key prerequisite in planning and good management of resources within a datacenter. However, for the purpose of research, it is very difficult to find reliable data that can be used to define models adapted to operations in data centers and tests.
Gbaguidi, Fréjus   +3 more
openaire   +2 more sources

A Study of the Performance of a Cloud Datacenter Server

IEEE Transactions on Cloud Computing, 2017
In a previous work, we presented a system which combines active solid state drives and reconfigurable FPGAs (which we called reconfigurable active SSD nodes, or simply RASSD nodes) into a storage-compute node that can be used by a cloud datacenter to achieve accelerated computations while running data intensive applications.
Khaleel W. Mershad   +4 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   +3 more
openaire   +2 more sources

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   +7 more
openaire   +2 more sources

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   +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   +2 more
openaire   +2 more sources

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   +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   +6 more
openaire   +1 more source

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