Guide : Prof. Purushottam Kulkarni & Prof. Umesh Bellur
Related Papers
Placement and Provisioning
- Autonomic Virtual Machine Placement in the Data Center Chris Hyser, Bret McKee, Rob Gardner, Brian J. Watson, HP Laboratories
- Optimal Virtual Machine Placement Across Multiple Cloud Providers Sivadon Chaisiri, Bu-Sung Lee, and Dusit Niyato
- Dynamic Placement of Virtual Machines for Managing SLA Violations Norman Bobroff, Andrzej Kochut, Kirk Beaty
- Self-Adaptive SLA-Driven Capacity Management for Internet Services Bruno Abrahao, Virgilio Almeida, Jussara Almeida,Alex Zhang, Dirk Beyer, Fereydoon Safai
- Efficient Resource Provisioning in Compute Clouds via VM Multiplexing Xiaoqiao Meng, Canturk Isci, Jeffrey Kephart, Li Zhang, Eric Bouillet, Dimitrios Pendarakis
- SLA-aware Placement of Multi-Virtual Machine Elastic Services in Compute Clouds David Breitgand; Amir Epstein
- A Capacity Management Service for Resource Pools Jerry Rolia, Ludmila Cherkasova, Martin Arlitt, Artur Andrzejak
- Server workload analysis for power minimization using consolidation Akshat Verma, Gargi Dasgupta, Tapan Kumar Nayak, Pradipta De, and Ravi Kothari
- Effective VM sizing in virtualized data centers Ming Chen; Hui Zhang; Ya-Yunn Su; Xiaorui Wang; Guofei Jiang; Yoshihira, K;
Translation of application level SLA to resource Level settings
- SLA Decomposition: Translating Service Level Objectives to System Level Thresholds Yuan Chen; Iyer, S.; Xue Liu; Milojicic, D.; Sahai, A.
- Translation of application-level terms to resource-level attributes across the Cloud stack layers Kousiouris, G.; Kyriazis, D.; Gogouvitis, S.; Menychtas, A.; Konstanteli, K.; Varvarigou, T.
- Connecting Client Objectives with Resource Capabilities: An Essential Component for Grid Service Management Infrastructures Asit Dan , Catalin Dumitrescu , Matei Ripeanu
- Optimal Server Resource Allocation Using an Open Queueing Network Model of Response Time Zhang, Alex; Santos, Pano; Beyer, Dirk; Tang, Hsiu- Khuern
- METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors Lee, J.W.; Asanovic, K.;
Virtualization Overhead
- Modeling Virtual Machine Performance: Challenges and Approaches Omesh Tickoo , Ravi Iyer , Ramesh Illikkal , Don Newell
- Measuring CPU Overhead for I/O Processing in the Xen Virtual Machine Monitor Ludmila Cherkasova, Rob Gardner
- Characterization of network processing overheads in Xen Apparao, P., Makineni, S., Newell, D.
- Diagnosing Performance Overheads in the Xen Virtual Machine Environment Aravind Menon, Jose Renato Santos, Yoshio Turner, G. (John) Janakiraman, Willy Zwaenepoel
- A Performance Comparison of Hypervisors Performance study by VMware
Workload Characterization/Forecasting
- Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting Roy, N.; Dubey, A.; Gokhale, A.;
Bandwidth Reservation Techniques in Network Systems
- Resource allocation for broadband networks Hui, J.Y.;
- Allocating bandwidth for bursty connections Jon Kleinberg, Yuval Rabani, and Éva Tardos
Reports and Presentation
Drafts
- necessity of considering virtualization overhead in provisioning and placement problem
- Risk aware Provisioning and Placement Objectives
- First Cut algorithm to solve placement problem with joint provisioning approach
- An evolving comparative study of different techniques of placement and provisioning
- Comparison of Pair-wise Joint Provisioning and Aggregation based Joint Provisioning
- Effect of periodicity and distribution of mean utilization on consolidation
- Comparison of Consolidation Algorithms with Real-world Workload
