Storage CloudSim: A Simulation Environment for Cloud Object Storage Infrastructures



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Storage CloudSim: A Simulation Environment for Cloud Object Storage Infrastructures http://github.com/toebbel/storagecloudsim tobias.sturm@student.kit.edu, {foud.jrad, achim.streit}@kit.edu STEINBUCH CENTRE FOR COMPUTING - SCC KIT Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft www.kit.edu

Agenda Introduction & Use Cases Motivation STaaS Simulation Concept Implementation Evaluation Conclusion & Future Work 2 03.04.2014 tobias.sturm@student.kit.edu, {foud.jrad, achim.streit}@kit.edu

SaaS PaaS IaaS Cloud Computing and STaaS Cloud computing: scalable hardware and service provisioning [5] Deployment Models X+Y Private Community Public Hybrid Service Models Software Platform VMs / STaaS Infrastructure Storage as a Service (STaaS) Online / near-line, non-volantine storage at low costs [6] Object or block storage 3 03.04.2014 Tobias Sturm

CDMI (Cloud Data Management Interface) Standard API to access object STaaS, released by SNIA, 2012 [3] RESTful, HTTP based Organizes objects in containers, user separation, access via IDs or names 4 03.04.2014 Tobias Sturm

CloudSim Popular Java eventbased simulation environment for IaaS, developed by CLOUDS Lab at University of Melbourne [1] [2] Lacks for STaaS modeling: No standard Cloud user interface Not realistic disk model No simulation of concurrent use of bandwidths Coarse file size model 5 03.04.2014 Tobias Sturm

Motivation Simulations required to Estimate costs for users in multi cloud scenarios Compare different constellations of hardware components & policies No known STaaS simulation environment StorageCloudSim Develop extension for CloudSim to simulate STaaS Accurate models for servers & disks Realistic simulation of IO limitations Use of STaaS standards like CDMI Model multi-cloud STaaS usage 6 03.04.2014 Tobias Sturm

Implementation - Class Diagram EventTracker TrackableResource UsageHistory <<reads>> ReportGenerator CdmiEntity StorageCloud CdmiRootContainer CdmiObjectContainer CdmiObject <<processes>> CdmiCloud- Characteristics CdmiMetadata <<creates>> StorageBlob TimeawareResource GETContainerRequest CdmiRequest IObjectStorageDevice StorageBlobLocation GETObjectRequest PUTObjectRequest DELETEObjectRequest ScheduleEntry <<create>> CdmiResponse <<create>> <<receives>> StorageBroker <<creates>> / <<destroys>> <<processes>> UserRequest ObjectStorageServer SLARequest * SLARequirement... StorageMetaBroker UsageSequence TrackableResource <<forwards>> <<creates XML for>> UsageSequenceFile- Generator 7 03.04.2014 Tobias Sturm

Implementation - Components EventTracker Monitoring TrackableResource <<reads>> UsageHistory CdmiEntity ReportGenerator <<creates>> StorageCloud CdmiRootContainer CdmiObjectContainer CdmiObject <<processes>> CdmiCloud- Characteristics CDMI CdmiMetadata StorageBlob GETContainerRequest GETObjectRequest CDMI CdmiRequest ScheduleEntry PUTObjectRequest <<create>> DELETEObjectRequest CdmiResponse... <<create>> <<receives>> TimeawareResource StorageBroker <<creates>> / <<destroys>> StorageMetaBroker Storage Models IObjectStorageDevice <<processes>> UserRequest UsageSequence StorageBlobLocation ObjectStorageServer SLARequest Usage Models TrackableResource * SLARequirement <<forwards>> <<creates XML for>> UsageSequenceFile- Generator 8 03.04.2014 Tobias Sturm

Example STaaS Request Workflow (Single Cloud) 9 03.04.2014 Tobias Sturm

Implementation - SLA based StaaS Brokering SLA requirements are defined in UsageSquence UsageSquence independent from each other MetaBroker chooses best provider for each UsageSquence using SLA matching policies and SLA rankings Example SLA matching policies: Supports Capability (WebDav export, metadata modification, ) Does not have Restriction (max. container/object size) Max./min. allowed feature metric (max. latency, min bandwidth, max storage cots per GB, ) Example SLA Ranking: Assign Score to each Cloud: const score = price per stored GB Rate availability of capabilities 10 03.04.2014 Tobias Sturm

Evaluation STaaS Clouds Setup Modelling of a single- (Amazon S3) and multi-cloud (all three) scenario Linear pricing model Amazon S3 SCC intra Swift Cloud #servers / #disks per server 6/6 1/3 4/4 write/read rate, write/read latency capacity per disk 156 MB/s 9.5 ms / 8.5 ms 2 TB 64 MB/s / 156 MB/s 11 ms / 9 ms 1 TB 156 MB/s 9.5 ms / 8.5 ms 2 TB # allowed replica 3 3 1 Max. obj. size Unlimited 16 GB unlimited total capacity 72 TB 3 TB 32 TB $ per uploaded GB 0.0002 $ $ per stored GB $ per down. GB 0.05 $ 0.01 $ 0.04 $ 0.0002 $ 0.01 $ 0.1 $ 11 03.04.2014 Tobias Sturm

Evaluation Modeled STaaS UsageSquences Simulations with two types of UsageSquences Three experiments: mixed (50, 500, 5000 input sequences), normal only and scientific only (250 input sequences) total traffic per sequence Sequence A Gamma distr. α = 2, β = 3, max 15 GB Sequence B 1..100 GB (uniform distr.) upload-download ratio 3:1 uploads only size of biggest object 1 KB.. 1 GB 1..100 GB (uniform distr.) Idle time between two requests SLAs 10 ms 30 s Bursts of 5 operations, 5-10 min idle between bursts cdmi_create_container cdmi_delete_container SLA available capacity > Y Rating 1 store + 1 upload + 1 download cdmi_create_container cdmi_delete_container No max_container_size max_object_size > X SLA available capacity > Y 1 store + 1 upload 12 03.04.2014 Tobias Sturm

Evaluation Effect of Object Size MetaBroker selects Clouds with lowest Costs with respect of SLA SCC Cloud selected for small objects as it is the cheapest Cloud For big objects, Swift is preferred to Amazon as it is cheaper 50 mixed sequences, Mutli-Cloud experiment. Used storage per Cloud 13 03.04.2014 Tobias Sturm

Evaluation STaaS requests SLA Violations Due to over capacity, all sequences after minute 28000 are declined. Only 15 requests failed due to SLA violation (object size can not be satisfied) Single Cloud, 5000 mixed sequence types 14 03.04.2014 Tobias Sturm

Evaluation Total Usage Costs Multi-Cloud is more cost-saving compared to single Cloud (in terms of costs per succeeded requests) 50, 500 and 5000 mixed sequences Mutli & Single Cloud 15 03.04.2014 Tobias Sturm

Evaluation Effect of UsageSquence Type Restrictive SLA (as in Scientific sequences) leads not to cost-savings for the multi-cloud usage Type A Type B 16 03.04.2014 Tobias Sturm

Conclusion Development of STaaS extension for CloudSim simulation environment Modelling of different SLA requirements and SLA matching policies for STaaS Clouds Evaluation of used Storage and costs for single and multi-cloud scenario with different UsageSquence types Usage of multiple Clouds lead to cost-savings if SLA is not too restrictive Future Work More complex SLA matching policies (location, throughput) More complex price models for STaaS Dynamic Broker Decisions Modeling of different storage controller policies (example: OpenStack Swift Ring) 17 03.04.2014 Tobias Sturm

References [1] Rodrigo N Calheiros, Rajiv Ranjan, Anton Beloglazov, C esar AF De Rose, and Rajkumar Buyya. Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience, 41(1):23 50, 2011. [2] Rodrigo N Calheiros, Rajiv Ranjan, C esar AF De Rose, and Rajkumar Buyya. Cloudsim: A novel framework for modeling and simulation of cloud computing infrastructures and services. arxiv preprint arxiv:0903.2525, 2009. [3] Cloud Data Management Interface (CDMI) Version 1.0.2. [4] Amazon Inc. Amazon s3, cloud computing storage for files, images, videos, 2013. [Online; accessed 17-July-2013]. [5] Peter Mell and Timothy Grance. The nist definition of cloud computing (draft). NIST special publication, 800(145):7, 2011. [6] A. Schill and T. Springer. Verteilte Systeme: Grundlagen und Basistechnologien. Springer London, Limited, 2007. 18 03.04.2014 Tobias Sturm

Questions? 19 03.04.2014 Tobias Sturm

Implementation Cloud User Interface 20 03.04.2014 Tobias Sturm

Implementation Storage Models CdmiObject StorageBlob TimeawareResource IObjectStorageDevice StorageBlobLocation ObjectStorageServer 21 03.04.2014 Tobias Sturm

Implementation Storage Models CdmiEntity StorageCloud CdmiRootContainer CdmiObjectContainer CdmiObject <<processes>> <<creates>> CdmiRequest CdmiCloud- Characteristics CdmiMetadata ScheduleEntry <<create>> CdmiResponse 22 03.04.2014 Tobias Sturm

Implementation Usage Models CdmiRequest SLARequirement <<create>> * StorageBroker <<processes>> UserRequest SLARequest CdmiResponse <<receives>> <<creates>> / <<destroys>> 1 StorageMetaBroker UsageSequence <<forwards>> <<creates XML for>> UsageSequenceFile- Generator 23 03.04.2014 Tobias Sturm

Simulation Workflow Plots, Logs, CSV Cloud Scenario Stat. Generator Sequence- Generator Sample Streams, Traces, Logs Simulation Usage- Sequences in XML 24 03.04.2014 Tobias Sturm

Implementation Provider Side Hardware Modeling Used Capacity Used Capacity 100% 100% 60% 60% Operation 4 Operation 4 Operation 1 Operation 1 Operation 2 Operation 2 Operation 33 Operation 3 Operation 5 t1 t2 t3 t4 t5 t5 t6 t7 t7 t8 t1 t2 t3 t4 t5 t6 t7 t8 Time Time 25 03.04.2014 Tobias Sturm