Decentralized cloud datacenter reconsolidation through emergent and topology-aware behavior
| Autor: | Mina Sedaghat, Francisco Hernandez-Rodriguez, Erik Elmroth |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Distributed computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption Network topology Topology computer.software_genre Scheduling (computing) Hardware and Architecture Virtual machine 0202 electrical engineering electronic engineering information engineering Batch processing 020201 artificial intelligence & image processing Resource management Data center business computer Software |
| Zdroj: | Future Generation Computer Systems. 56:51-63 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2015.09.023 |
| Popis: | Consolidation of multiple applications on a single Physical Machine (PM) within a cloud data center can increase utilization, minimize energy consumption, and reduce operational costs. However, these benefits come at the cost of increasing the complexity of the scheduling problem.In this paper, we present a topology-aware resource management framework. As part of this framework, we introduce a Reconsolidating PlaceMent scheduler (RPM) that provides and maintains durable allocations with low maintenance costs for data centers with dynamic workloads. We focus on workloads featuring both short-lived batch jobs and latency-sensitive services such as interactive web applications. The scheduler assigns resources to Virtual Machines (VMs) and maintains packing efficiency while taking into account migration costs, topological constraints, and the risk of resource contention, as well as the variability of the background load and its complementarity to the new VM.We evaluate the model by simulating a data center with over 65,000 PMs, structured as a three-level multi-rooted tree topology. We investigate trade-offs between factors that affect the durability and operational cost of maintaining a near-optimal packing. The results show that the proposed scheduler can scale to the number of PMs in the simulation and maintain efficient utilization with low migration costs. A formulation of the VM consolidation problem as a distributed optimization problem.A topology-aware resource management framework for VM consolidation.A VM consolidation algorithm for durable consolidations and cheap migration plans.An in-depth simulation-based evaluation of the system behavior under different settings and configurations.Accounting the topology constraints and performance factors reduces migration costs. |
| Databáze: | OpenAIRE |
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