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1 Consorzio COMETA - Progetto PI2S2 UNIONE EUROPEA Business applications: the COMETA approach Prof. Antonio Puliafito University of Messina Open Grid Forum (OGF25) Catania,
2 T h e C O M E T A C o n s o r t i u m Creation of the first Sicilian GRID infrastructure for scientific and industrial applications (Overall budget 15 M ) Integration with the Italian and European GRIDs to foster and improve the scientific collaboration and the competitiveness of regional PMI, both at national and international level Porting of scientific and industrial applications on the GRID Dissemination of the GRID paradigm through events and training courses to people of the private and public area, also not directly involved in such projects Support to spin-off initiatives ~2000 core AMD Opteron GB di RAM per core LSF for queue management Infiniband-4X in all sites 200+ TB of raw disk space GPFS as distributed filesystem 2
3 Business Grids Business Grids focus on commercial values Need to support: On-demand computational power Low cost of ownership Pay-for-use pricing model Economic risk evaluation Capacity planning New Business models Guaranteed QoS Security Trust It is vital to adapt the computing model to the business interaction model Need to encapsulate business function to make it available to partners: service components. Services must be defined by explicit contracts (SLA) to allow independent party access. Consequence is automatic binding. Core concern of business is to integrate business processes and functions. Business components are integrated creating service compositions. New value is created through integration/composition. 3
4 Our experience S-Sicilia has been a 2-year collaboration between the COMETA Consortium and ORACLE to deal with business aspects over Grid. The result was a system that: Is based on glite Grid infrastructure Does not pretend to address all aspects related to Business Gidb Grid but bea sort of benchmark Aims to create real business services for SME companies with guaranteed quality Creates a business processes platform over a Grid infrastructure Provides the ability to scale with service demand Position COMETA as a service provider on the medium long term for the R&D and SME world 4
5 The S-Sicilia Project Main features: Services are defined and managed through SLAs We used WSLA schema Contracts are monitored and due actions are taken such as service re-configuration, service re-location and resources re-allocation Customers are billed not for raw resources but for services and QoS provided. Contracts are specified in business terms The system has been designed to be middleware-independent Hosting solution for web applications: e-commerce CMS web-site builders... Test with the ORACLE e-commerce application SOADemo Virtualization solution for: Legacy application Productivity software Applications with specific needs, such as OS 5
6 Exploitation and Sustainability issues Research Institutions Big Industries Public Administration COMETA SMEs QoS and SLA are crucial issues if GRID has to be opened to the industrial world Security is a mandatory aspect to be adequately addressed Virtualization has to be extensively deployed Supporting spin-off initiatives to contribute to the diffusion of Grid knowledge New spin-off company focusing on RFID and Grid computing 6
7 Cloud s Ontology 1. Cloud Application Layer: the most visible layer to the end-users of the cloud. Providing access management (authentication, billing, SLA, ) Web 2.0, services mashup This model is also referred to as Software as a Service (SaaS). Salesforce Customer Relationships Management system and Google Apps, Microsoft Azure Service Platform, Sun network.com 2. Cloud Software Environment Layer: providers of the cloud software environments supply the users cloud applications developers with a programming-language-level environment with a set of well-defined APIs. The service provided is referred to as Platform as a Service (PaaS). Google s App Engine, Apache Hadoop, Yahoo s Pig 3. Cloud Software Infrastructure Layer: provides fundamental resources to other higher-level layers. Services can be categorized into: Computational ti resources (VM) - Infrastructure t as a Service (IaaS) Amazon s Elastic Compute Cloud (EC2), Enomalism elastic computing infrastructure, GoGrid Cloud, Windows Azure, IBM Blue Cloud Data storage - Data as a Service (DaaS) Distributed file systems (e.g., GFS), replicated relational databases (RDBMS) (e.g., Bayou) keyvalue stores (e.g., Dynamo), Amazon s S3 and EMC Storage Managed Service Communications Communications as a Service (CaaS) Network security, dynamic provisioning of virtual overlays for traffic isolation or dedicated bandwidth, guaranteed message delay, communication encryption, and network monitoring Microsoft Connected Service Framework (CSF) SOAP and REST are examples of interface protocols used with some cloud computational resources 4. Software Kernel: provides the basic software management for the physical servers that compose the cloud. OS kernel, hypervisor, virtual machine monitor and/or clustering and grid middleware. Globus, Condor, glite. 5. Hardware and Firmware: form the backbone of the cloud. Users of this layer of the cloud are normally big enterprises with huge IT requirements in need of subleasing Hardware as a Service (HaaS). IBM-Morgan Stanley Morgan Stanley s sublease contract with IBM in 2004.
8 Grid vs Cloud: evolution or revolution? GRID JOB-ORIENTED USER INTERFACE BATCH INFRASTRUCTURE-RESOURCES- SERVICES KNOWLEDGEMENT STATIC SCHEDULING/DEPLOYMENT OPEN/SCIENTIFIC COLLABORATIONS VIRTUAL ORGANISATIONS BEST EFFORT SHARE COMPUTING, DATA AND SCIENTIFIC DISCOVERIES CLOUD SERVICE-ORIENTED WEB 2.0-REST/SOAP INTERACTIVE OPACITY: UNKNOWN INFRASTRUCTURE-RESOURCES- SERVICES DYNAMIC SCHEDULING/DEPLOYMENT COMMERCIAL/BUSINESS- ORIENTED QoS/SLA DATA AND COMPUTING RESOURCES PROTECTION, CONFIDENTIALITY, INTEGRITY
9 Cloud s Business models-pricing Pricing models for the different cloud services have taken one of three forms: tiered pricing: the cloud services are offered in several tiers; each tier offers fixed computing specifications (i.e. memory allocation, CPU type and speed, etc), and SLA at a specific price per unit time. Amazon s cloud systems, per-unit pricing: pay as you go policy, normally applied to data transfers or memory usage. GoGrid Cloud denoted RAM/hour as the usage unit for their system. subscription-based based pricing: the most-widely used pricing model for SaaS. This model allows the users to predict their periodic expenses of using the cloud applications. Per-unit pricing model is more flexible than the tiered pricing, as it allows the users to customize the main memory allocation of their system based on their specific applications needs. Subscription-based model is preferred when the computing needs and requirements are regular/constant and/or easy to predict. It lacks the accuracy of charging the users for what they actually have used. As an alternative there is the free of charge/advertising g model: services are offered for free, the business, the gain is in the advertisement, the banners (Google Apps).
10 Open Questions How future sustainability of e-infrastructures can be solved to exploit long term development of technology at industrial i and commercial level? Can research infrastructures be used to provide commercial services? Any common strategy to provide QoS and SLA? Is current offered security aligned with commercial requirements? Will current Grid Infrastructure be available also in the future so that investments are preserved? What about licensing? Are we ready for a Cloudness? Expertise in Grid, application porting, service tailoring are the qualifying elements against commercial solutions. 10
11 Many Thanks Prof. Antonio Puliafito Center on Information Technologies Development and their Applications (CIA) cell:
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