Attila Kertész, PhD. LPDS, MTA SZTAKI. Summer School on Grid and Cloud Workflows and Gateways 1-6 July 2013, Budapest, Hungary

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1 CloudFederation Approaches Attila Kertész, PhD. LPDS, MTA SZTAKI Summer School on Grid and Cloud Workflows and Gateways 1-6 July 2013, Budapest, Hungary

2 Overview Architectural models of Clouds European projects addressing Cloud Federations Classification of Federation approaches Research issues of federating Clouds 2

3 European Commission sdefinitionof of Clouds 2 A'cloud' is an elastic execution environment of resources involving multiplestakeholders and providing a metered service at multiple granularities for a specified level of quality. 3

4 Architecturalmodelsof of Clouds 4

5 EC view Private Cloud Public Cloud Hybrid Cloud 3 Community Cloud 5

6 European Network and Information Security Agency (ENISA) view Partner SC SC SC Public Private Federation 6

7 National Institute of Standards and Technology (NIST) view Private Hybrid Community Public 7

8 European projectsaddressing CloudFederations 8

9 OPTIMIS EU FP7 project fromjune 2010 to May 2013 Goal: improved cloud service ecosystem Holistic approach to multiple co-existing clouds Cloud life-cycle optimization (cost, trust, risk, eco-efficiency) Market-oriented multi-cloud architectures 9

10 OPTIMIS - 1. Federated Cloud Architecture: The Service Provider () assesses an Infrastructure provider (). s can share resources among each other Multi-Cloud Architecture: Different infrastructure providers are used separately by an Hybrid Cloud Architecture: A Private Cloud (PC) is used by the, which can utilize resources of different s. (~Cloud bursting) i. ii. iii. PC 10

11 RESERVOIR EU FP7 project from February 2008 to January 2011 Resources and Services Virtualization without Barriers Small and medium clouds enable an infinite computing utility Complete service stack to form a federation Massive scale deployment and management across administrative domains Resources and services transparently provisioned on-demand Server consolidation 11

12 Reservoir A Reservoir Cloud consists of different Reservoir sites (RS) operated by different s. Each RS has resources that are partitioned into isolated Virtual Execution Environments (VEE). Service applications can use dedicated VEE hosts coming from different RSs. Each application is deployed using a service manifest that formally defines an SLA contract. VEE VEE VEE VEE 12

13 BonFIRE EU FP7 project fromjune2010todecember 2013 Exploringthe interactions between novel service and network infrastructures Extensionof cloud offerings towards a federatedfacility o o heterogeneous virtualized resources best-effort Internet interconnectivity Experimentalnetwork emulation platformwhere topology configuration and resource usage is under full control of the experimental researcher Exemplify federation mechanisms by interconnecting BonFIREsites with FEDERICA, Open Cirrus and Panlab 13

14 mosaic EU FP7 project from September 2010 to February 2013 Cloud ontology + innovative API = specification of service requirements Higher degree of portability and vendor independence Applicationprogramming interfaces for building applications using services from multiple cloud providers Self-adaptive distributed scheduling platform Foster competition between cloud providers 14

15 Classificationof of Federation approaches 15

16 Inter-Cloudoverviewoverview 4 16

17 For users: Benefitsof an Inter-Cloud Diverse geographical locations o Legislation compilant services: decide where data is stored Better application resilience o Avoid cloud service outages, multiple data centers for fault tolerance Avoidance of vendor lock in o Distribute workload, price-sensitive usage, easy migration For providers: Expand on demand o Offload resource utilization to other providers Better SLA to customers o Support worst-case scenarios, survive outages 17

18 Classificationof of Cloud infrastructures 4 18

19 Architectural classification 4 19

20 Inter-Cloud developments 4 20

21 Inter-Cloud survey 4 21

22 22

23 Research issuesof federating Clouds 23

24 GeneralizedFCM Federated Cloud Management CloudBroker CloudBroker... CloudBroker CloudBroker 24

25 FCM Architecture 5 Generic Meta-Broker Service Cloud-Broker FCM Repository Cloud-Broker Autonomouslymanage the interconnected cloud infrastructures Forms a federationwith the help of CloudBrokers Cloud a Cloud b 25

26 Monitoring solutioninfcm 6 26

27 M3S Use case with the Minimal Metric Monitoring Service Ithas two methods representing three monitoring metrics: o o o Availability: a generalized ping test (e.g. getting the WSDL of the test service) -this shows if the service is up and running Computational capability: measured by a compute method that performs a 5 minuteoperation (the result is normalized compared to a reference hardware setup) -the response time of this method represents the computational speed of the cloud Data transfer capability: measured by a transfer method that uploads and downloads a 10 MB file to a predefined public storage location -the response time of this method shows the transfer speed of the cloud.

28 Legal aspectsof data mangement in Cloud federations 7 Resource provision in Clouds opens new legal issues, such as data protection, licensing and intellectual property rights. Responsibilitiesfor legal compliance canbe determinedbythe Data Protection Directive of the European Union. Wemapped theseroles to Cloud use cases, and identified dynamic rolechanging, which may also affectthe national law applicable during service execution. 28

29 Energy-efficientClouds 8 Parallel simulation of multiple clouds to allow the analysis of federated use cases Consumption Controller models the on/off policy for physical machines Current Physical Machine lifecycle: OFF currently no consumption, SWITCHINGON, SWITCHINGOFF simulates the boot/shutdown procedure, consumes energy but does not accept VMs ON consumes energy and accepts VMs Current consumption model: Linear interpolation between idle and max wattage depending on the VM number 29

30 Additionalreadingand and references 1. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility.future Generation Computer Systems, vol. 25, no. 6, pp , June K. Jeffery and B. Neidecker-Lutz,The Future of Cloud Computing, Opportunities for European Cloud Computing beyond Expert Group Report, January A.J.Ferrer et al., OPTIMIS: a Holistic Approach to Cloud Service Provisioning. Future Generation Computer Systems, vol.28, pp.66-77, NikolayGrozevand RajkumarBuyya, Inter-Cloud Architectures and Application Brokering: Taxonomy and Survey, Software: Practice and Experience,, Wiley Press, New York, USA, A. Cs. Marosi, G. Kecskemeti, A. Kerteszand P. Kacsuk, FCM: an Architecture for Integrating IaaSCloud Systems. In Proceedings of The Second International Conference oncloud Computing, GRIDs, and Virtualization. Rome, Italy. September, A. Kertesz, G. Kecskemeti, M. Oriol, P. Kotcauer, S. Acs, M. Rodriguez, O. Merce, A. Cs. Marosi, J. Marco, X. Franch, Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach, Journal of Grid Computing, Online First, June Sz. Varadi, A. Kertesz, M. Parkin, The Necessity of Legally Compliant Data Management in European Cloud Architectures, Computer law and security review (CLSR), vol. 28, issue 5, pp , Elsevier, G. Kecskemeti, A. Kertesz, A. Marosiand Zs. Nemeth, Strategies for Increased Energy Awareness in Cloud Federations, In book: High-Performance Computing on Complex Environments, Wiley Series on Parallel and Distributed Computing, Accepted in 2013.

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