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Remedy: Network-Aware Steady State VM Management for Data Centers [chapter]

Vijay Mann, Akanksha Gupta, Partha Dutta, Anilkumar Vishnoi, Parantapa Bhattacharya, Rishabh Poddar, Aakash Iyer
2012 Lecture Notes in Computer Science  
Steady state VM management in data centers should be network-aware so that VM migrations do not degrade network performance of other flows in the network, and if required, a VM migration can be intelligently  ...  Recent research in network-aware management of VMs has focused mainly on an optimal network-aware initial placement of VMs and has largely ignored steady state management.  ...  In this context, we present the design and implementation of Remedy: a system for network-aware steady state management of VMs.  ... 
doi:10.1007/978-3-642-30045-5_15 fatcat:hb6h6rkyafdxpf7wkhejvdibhy

Scalable Traffic-Aware Virtual Machine Management for Cloud Data Centers

Fung Po Tso, Konstantinos Oikonomou, Eleni Kavvadia, Dimitrios P. Pezaros
2014 2014 IEEE 34th International Conference on Distributed Computing Systems  
Virtual Machine (VM) management is a powerful mechanism for providing elastic services over Cloud Data Centers (DC)s.  ...  However, most current VM management strategies are traffic-agnostic, while the few that are traffic-aware only concern a static initial allocation, ignore bandwidth oversubscription, or do not scale.  ...  INTRODUCTION Elastic resource provisioning in Cloud Data Centers (DC)s is managed by a number of control loops at the routing [1] [2], transport [3] , and Virtual Machine (VM) [4] [5] layers.  ... 
doi:10.1109/icdcs.2014.32 dblp:conf/icdcs/TsoOKP14 fatcat:wgwsfdhyzvfyfecbyu25hfhceq

Keep it moving: Proactive workload management for reducing SLA violations in large scale SaaS clouds

Arpan Roy, Rajeshwari Ganesan, Santonu Sarkar
2013 2013 IEEE 24th International Symposium on Software Reliability Engineering (ISSRE)  
SaaS cloud data centers.  ...  We validate our proposed approach by using a trace-based discrete event simulation of a virtualized data center where failure and workload characteristics are simulated from data extracted from a real  ...  ACKNOWLEDGEMENTS The authors would like to thank Catello Di Martino from the University of Illinois at Urbana Champaign for valuable feedback at the preliminary stages of research and for providing us  ... 
doi:10.1109/issre.2013.6698895 dblp:conf/issre/RoyGS13 fatcat:b5czcqhirvgvldin2bpnjcpqay

Autonomic Power Aware Cloud Resources Orchestration Architecture for Web Applications

R. R. Darwish
2013 International Journal of Grid and Distributed Computing  
Moreover, active management for power consumption could assist at dealing with possible limitations that may take place at cooling and power delivery capabilities resulting from data centers' attempts  ...  Furthermore, it rather to be mentioned that power has an immense potential at theses large scale data centers. Costs for power and cooling capabilities are becoming increasingly large.  ...  Energy Model Power consumption by computing nodes in data centers is mostly determined by computation processing, memory, network interfaces, and cooling systems.  ... 
doi:10.14257/ijgdc.2013.6.6.06 fatcat:bx3c7yrf2vfzxjxuqwk5grtm7e

Resource Management in SDN-Based Cloud and SDN-Based Fog Computing: Taxonomy Study

Amirah Alomari, Shamala K. Subramaniam, Normalia Samian, Rohaya Latip, Zuriati Zukarnain
2021 Symmetry  
Software-defined networks (SDN) is an evolution in networking field where the data plane is separated from the control plane and all the controlling and management tasks are deployed in a centralized controller  ...  It overviewed the important contributions in SDN clouds in terms of improving network performances and energy optimization. Moreover, state-of-the-art studies in SDN fogs are presented.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym13050734 fatcat:hub3xuk5yjep5eayylr5k6zuve

Thermal-Aware Scheduling in Green Data Centers

Muhammad Tayyab Chaudhry, Teck Chaw Ling, Atif Manzoor, Syed Asad Hussain, Jongwon Kim
2015 ACM Computing Surveys  
Servers in data centers require a constant supply of cold air from on-site cooling mechanisms for reliability.  ...  A survey is presented henceforth of thermal-ware scheduling and associated techniques for green data centers.  ...  This shortfall was overcome by using phased steady-state analysis for longer tasks and transient analysis for shorter tasks.  ... 
doi:10.1145/2678278 fatcat:5dura2qnujbvbdfi3f3oimkeiu

CloudPD: Problem determination and diagnosis in shared dynamic clouds

Bikash Sharma, Praveen Jayachandran, Akshat Verma, Chita R. Das
2013 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)  
Towards this, we propose CloudPD, a fault management framework for clouds.  ...  higher detection accuracy; and (iv) an integrated end-to-end feedback loop to synergize with a cloud management ecosystem.  ...  ACKNOWLEDGMENT We thank the anonymous reviewers, Adwait Jog, Mahshid Sedghi, Nachiappan Chidambaram Nachiappan and Onur Kayiran for their valuable comments towards improving this paper.  ... 
doi:10.1109/dsn.2013.6575298 dblp:conf/dsn/SharmaJVD13 fatcat:tba4qgz3urahrcq7rg3ew7krxi

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
2019 ACM Computing Surveys  
Large-scale software systems are currently designed as distributed entities and deployed in cloud data centers.  ...  By exploiting such data, the devices and applications are able to bring context-aware services to users.  ...  The authors of [4] develop a tool for low-level workload characterization using data collected from a hypervisor located in the virtualization tier and management operations of VMs.  ... 
doi:10.1145/3341145 fatcat:vkzofhgipfhqtm2z2w5swivksy

An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art

Khalid Alhamazani, Rajiv Ranjan, Karan Mitra, Fethi Rabhi, Prem Prakash Jayaraman, Samee Ullah Khan, Adnene Guabtni, Vasudha Bhatnagar
2014 Computing  
., VM, storage, network, appliances, etc.), the physical resources they share, the applications running on them and data hosted on them.  ...  OpenNebula OpenNebula [42] is an open source monitoring system that provides management for data centers.  ...  Cloud activities like resource planning, resource management, data center management, SLA management, billing, troubleshooting, performance management, and security management essentially need monitoring  ... 
doi:10.1007/s00607-014-0398-5 fatcat:ygnpzhherbgrxd6osxezq7fixa

Security issues in cloud environments: a survey

Diogo A. B. Fernandes, Liliana F. B. Soares, João V. Gomes, Mário M. Freire, Pedro R. M. Inácio
2013 International Journal of Information Security  
The possibility of paying-as-you-go mixed with an on-demand elastic operation is changing the enterprise computing model, shifting on-premises infrastructures to offpremises data centers, accessed over  ...  the Internet and managed by cloud hosting providers.  ...  Acknowledgements We would like to thank all the anonymous reviewers for constructively criticizing this work.  ... 
doi:10.1007/s10207-013-0208-7 fatcat:55o67epb6zfspchxuzvuduzr4a

OwlSight: Platform for Real-Time Detection and Visualization of Cyber Threats

Vasco Samuel Carvalho, Maria Joao Polidoro, Joao Paulo Magalhaes
2016 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS)  
It collects more than 107 million of malware events daily from different data sources and provides visualization and alerts in real-time for more than 2.7 million of infected unique IPs spread around the  ...  In this paper we present a cyber threat platform targeted for real-time detection and visualization of cyber threats.  ...  The system includes big data analytics and combines different types of data to gain gain situational awareness and enhance the network security.  ... 
doi:10.1109/bigdatasecurity-hpsc-ids.2016.73 fatcat:fcsqrytgobejdesogsbbflzoui

Energy Efficiency in Software Defined Networking: A Survey

Suchismita Rout, Kshira Sagar Sahoo, Sudhansu Sekhar Patra, Bibhudatta Sahoo, Deepak Puthal
2021 SN Computer Science  
Software defined networking has solved many challenging issues in the field of networking industry. It separates the control plane from the data forwarding plane.  ...  Finally, the paper is highlighted with the future directions for energy efficiency in SDN.  ...  [95, 96] Dynamic data rate for each route End system aware model Christensen et al. [96, 97] Sleep state of end devices Rout et al.  ... 
doi:10.1007/s42979-021-00659-9 fatcat:qx2x4bso5nfjtbupdtpdjjnffm

Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework

Khalid Alhamazani, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Fethi Rabhi, Dimitrios Georgakopoulos, Lizhe Wang
2015 IEEE Transactions on Cloud Computing  
Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms  ...  This paper proposes, develops and validates CLAMBS:Cross-Layer Multi-Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted  ...  Furthermore, the Benchmarking Manager is responsible for firing VMs at remote data centers to perform application level benchmarking based on user requirements that include data center locations.  ... 
doi:10.1109/tcc.2015.2441715 fatcat:ixlxbede3rglnh7emtmhnhtg6q

ReSQoV: A Scalable Resource Allocation Model for QoS-Satisfied Cloud Services

Hassan Mahmood Khan, Fang-Fang Chua, Timothy Tzen Vun Yap
2022 Future Internet  
This article focuses on cloud QoS violation remediation using resource planning and scaling.  ...  A Resource Quantified Scaling for QoS Violation (ReSQoV) model is proposed based on the Universal Scalability Law (USL), which provides cloud service capacity for specific workloads and generates a capacity  ...  The work in Reference [28] showed resource management and scalability as possible remedial measures for QoS violations.  ... 
doi:10.3390/fi14050131 fatcat:2hqbtm3vgvhcfcvvrkvv6uaeky

Introducing service-level awareness in the cloud

Cristian Klein, Martina Maggio, Karl-Erik Årzén, Francisco Hernández-Rodriguez
2013 Proceedings of the 4th annual Symposium on Cloud Computing - SOCC '13  
Then, we propose a Resource Manager (RM) that allocates resources to multiple SL aware applications in a fair manner.  ...  Then, we propose a Resource Manager (RM) that allocates resources to multiple SL aware applications in a fair manner.  ...  Acknowledgment This work was partially supported by the Swedish Research Council (VR) under contract number C0590801 for the project Cloud Control and through the LCCC Linnaeus Center.  ... 
doi:10.1145/2523616.2525936 dblp:conf/cloud/KleinMAH13 fatcat:sjo7mmqwczf4jcvzrifqxbavti
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