Resource Management Using Virtual Machine Migrations
Virtualization is a component of cloud computing. Virtualization does the key role on resource (e.g., storage, network, and compute) management and utilized the resource by isolated virtual machines (VMs). A good VMs migration system has an impact on ener
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Abstract Virtualization is a component of cloud computing. Virtualization does the key role on resource (e.g., storage, network, and compute) management and utilized the resource by isolated virtual machines (VMs). A good VMs migration system has an impact on energy efficiency policy. Good resource administration policy monitors the on-demand load management, and also manages the allocation/relocation of the VMs. The key challenges are VMs isolation and migration in heterogeneous physical servers. Threshold mechanism is effective to manage the load among VMs. Previous research shows thrashing is a good option to manage load and migrate the load among VMs during failover and high load. Linear programming (LP), static and dynamic approaches are superior to manage the load through VMs migration. This research proposes threshold-based LP approach to manage load balance and focus on dynamic resource management, load balance goals, and load management challenges. Keywords Virtual machine
Load balance Migration Threshold
1 Introduction Virtualization technology makes flexible use of resources and provides illusion of high availability of resources to end users as pay-as-use concept [1]. The objectives of effective resource management are optimizing energy consumption, flexible load balance and managing the failover cluster. Research shows an average of 10–15 %
P.K. Tiwari (&) Sandeep Joshi Department of Computer Science & Engineering, Manipal University Jaipur, Jaipur, India e-mail: [email protected] Sandeep Joshi e-mail: [email protected] © Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 438, DOI 10.1007/978-981-10-0767-5_1
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P.K. Tiwari and Sandeep Joshi
Fig. 1 Model of cloud computing system [3]
capacity is not utilized from 30 % cloud systems. Effective resource utilization can reduce the number of servers [2]. Figure 1 shows layered model of cloud computing system. Cloud computing system can be divided into four parts (User Level, Core Middleware, User Level Middleware, and User Level). Resource management (Compute. Storage, and Network) is a part of system level and it is managed by VM management, which belongs to core middle level. Resource allocation management system can be centralized or decentralized. VM migration system provides isolation, consolidation, and migration of workload. The main purpose of VM migration is to improve performance, fault tolerance, and management of resources [3]. The main focus of cloud system is selection of resources, management of load balance, and maximum utilization of available physical resources via VMs. Resources are either statically or dynamically assigned to VMs. Static policy is a predefined resource reservation to VM according the need of end user, but in dynamic allocation resources need can be increased and decreased according to the user demands [4]. Server consolidati
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