Storage CloudSim: A Simulation Environment for Cloud Object Storage Infrastructures

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1 Storage CloudSim: A Simulation Environment for Cloud Object Storage Infrastructures {foud.jrad, STEINBUCH CENTRE FOR COMPUTING - SCC KIT Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft

2 Agenda Introduction & Use Cases Motivation STaaS Simulation Concept Implementation Evaluation Conclusion & Future Work {foud.jrad,

3 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 Tobias Sturm

4 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 Tobias Sturm

5 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 Tobias Sturm

6 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 Tobias Sturm

7 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 Tobias Sturm

8 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 Tobias Sturm

9 Example STaaS Request Workflow (Single Cloud) Tobias Sturm

10 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 Tobias Sturm

11 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 Max. obj. size Unlimited 16 GB unlimited total capacity 72 TB 3 TB 32 TB $ per uploaded GB $ $ per stored GB $ per down. GB 0.05 $ 0.01 $ 0.04 $ $ 0.01 $ 0.1 $ Tobias Sturm

12 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 GB (uniform distr.) upload-download ratio 3:1 uploads only size of biggest object 1 KB.. 1 GB 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 Tobias Sturm

13 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 Tobias Sturm

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

15 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 Tobias Sturm

16 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 Tobias Sturm

17 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) Tobias Sturm

18 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, [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: , [3] Cloud Data Management Interface (CDMI) Version [4] Amazon Inc. Amazon s3, cloud computing storage for files, images, videos, [Online; accessed 17-July-2013]. [5] Peter Mell and Timothy Grance. The nist definition of cloud computing (draft). NIST special publication, 800(145):7, [6] A. Schill and T. Springer. Verteilte Systeme: Grundlagen und Basistechnologien. Springer London, Limited, Tobias Sturm

19 Questions? Tobias Sturm

20 Implementation Cloud User Interface Tobias Sturm

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

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

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

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

25 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 Tobias Sturm

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