INTERNATIONAL JOURNAL FOR RESEARCH IN EMERGING SCIENCE AND TECHNOLOGY E-ISSN:

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1 Next Generation Cloud Computing Architecture Aditi Satish Deshpande 1 and Sadhana Laxmikant Belekar 2 1 Dept. of CSE, Jawaharlal Darda Insti. of Engineering & Tech. Yavatmal, India aditideshpande247@gmail.com 1 Dept. of CSE, Jawaharlal Darda Insti. of Engineering & Tech. Yavatmal, India sadhanabelekar29@gmail.com ABSTRACT Cloud computing is fundamentally altering the expectations for how and when computing, storage and networking resources should be allocated, managed and consumed. Paper will describe a proof-of-concept that was implemented to demonstrate how dynamic resource management can be implemented to enable real-time service assurance for network centric datacenter architecture. This expensive and non-real time paradigm is ill suited for a world where customers are demanding communication, collaboration and commerce at the speed of light. It is now possible to provide dynamic visibility and control of services management to meet the rapidly growing demand for cloud-based services. The current approaches to enabling realtime, dynamic infrastructure are inadequate, expensive and not scalable to support consumer mass-market requirements. Over time, the servercentric infrastructure management systems have evolved to become a complex tangle of layered systems designed to automate systems administration functions that are knowledge and labor intensive. Keywords-Cloud Computing, Distributed Computing, Data Center, Virtualization. 1. INTRODUCTION The unpredictable demands of the Web 2.0 era in combination with the desire to better utilize IT resources are driving the need for a more dynamic IT infrastructure that can respond to rapidly changing requirements in real-time. This need for realtime dynamism is about to fundamentally alter the data center landscape and transform the IT infrastructure. Transformation of the Traditional Data centre In the cloud computing era, the computer can no longer be thought of in terms of the physical enclosure i.e. the server or box, which houses the processor, memory, storage and associated components that constitute the computer. Instead the computer in the cloud ideally comprises a pool of physical compute resources i.e. processors, memory, network bandwidth and storage, potentially distributed physically across server and geographical boundaries which can be organized on demand into a dynamic logical entity i.e. a cloud computer, that can grow or shrink in real-time in order to assure the desired levels of latency sensitivity, performance, scalability, reliability and security to any application that runs in it What this typically means is that the physical resource can then be carved up into logical or virtual resources as needed. This is known as provisioning. By introducing a suitable management infrastructure on top of this virtualization functionality, the provisioning of these logical resources could be made dynamic i.e. the logical resource could be made bigger or smaller in accordance with demand. This is known as dynamic provisioning. To enable a true cloud computer, every single computing element or resource should be capable of being dynamically provisioned and managed in real-time. Presently, there are many holes and areas for improvement in today s datacenter infrastructure before achieving the above vision of a cloud computer. In the cloud computing era, the computer can no longer be assumed in standings of the physical insertion i.e. the server or box, which households the processor, memory, storage and related components that establish the computer. In its place the computer in the cloud perfectly includes a group of physical work out resources i.e. work stations, retention, network bandwidth and storage, possibly circulated physically across server and geographical borders which can be planned on demand into a dynamic consistent entity. VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 248

2 Cloud computing is fundamentally altering the expectations for how and when computing, storage and networking resources should be allocated, managed and consumed. Endusers are increasingly sensitive to the latency of services they consume. Service Developers want the Service Providers to ensure or provide the capability to dynamically allocate and manage resources in response to changing demand patterns in real-time. Ultimately, Service Providers are under pressure to architect their infrastructure to enable real-time end-to-end visibility and dynamic resource management with fine grained control to reduce total cost of ownership while also improving agility. What is needed is a rethinking of the underlying operating system and management infrastructure to accommodate the ongoing transformation of the datacenter from the traditional server-centric architecture model to a cloud or network-centric model. In this seminar proposes and describes a reference model for a network-centric datacenter infrastructure management stack that borrows and applies key concepts that have enabled dynamism, scalability, reliability and security in the telecom industry, to the computing industry. In the cloud computing era, the computer can no longer be thought of in terms of the physical enclosure i.e. the server or box, which houses the processor, memory, storage and associated components that constitute the computer. Instead the computer in the cloud ideally comprises a pool of physical compute resources i.e. processors, memory, network bandwidth and storage, potentially distributed physically across server and geographical boundaries which can be organized on demand into a dynamic logical entity i.e. a cloud computer. server-centric computing architecture to a network-centric, cloud computing architecture. With server virtualization, having the ability to create complete logical (virtual) servers that are independent of the underlying physical infrastructure or their physical location. Specifying the computing, network and storage resources for each logical server (virtual machine) and even move workloads from one virtual machine to another in real-time (live migration). All of this has helped to radically transform the cost structure and efficiency of the datacenter. Capacity utilization of servers can be increased and overall power consumption can be dramatically reduced by consolidating workloads. Additionally, thanks to server virtualization and live migration, High Availability (HA) and Disaster Recovery (DR) can be implemented much more efficiently. Despite the numerous benefits that virtualization has enabled we are yet to realize the full potential of virtualization in terms of cloud computing Traditional server-centric operating systems were not designed to manage shared distributed resource. Current hypervisors do not provide adequate separation between application management and physical resource management[3,4]. Server virtualization does not yet enable sharing of distributed resources. 2.2 Storage Networks & Virtualization. The proliferation of server virtualization, storage networking and storage virtualization enabled many improvements in the datacenter. The key driver was the introduction of the Fibre Channel (FC) protocol and Fibre Channel-based Storage Area Networks (SAN)[5]. 2. LITRETURE REVIEW 2.1. Server Operating Systems and Virtualization Whereas networks and storage resources - thanks to advances in network services management and SANs, have already been capable of being virtualized for a while, only now with the wider adoption of server virtualization complete basic foundation for cloud computing is required i.e. all computing resources can now be virtualized. Consequently, server virtualization is the spark that is now driving the transformation of the IT infrastructure from the traditional 2.3 Network Virtualization The virtual networks now implemented inside the physical to switch between all the virtual servers provide an alternative to the multiplexed, multi-pathed network channels by trunking them directly to WAN transport thereby simplifying the physical network infrastructure Systems Management Infrastructure Present day management systems are not cut out to enable the real-time dynamic infrastructure needed for cloud computing [6] VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 249

3 Human system administrators do not lend themselves to enabling real-time dynamism Policy-based management is not really automation Virtualization compounds management complexity 2.5 Application Creation and Packaging The current method of using Virtual Machine images that include the application, OS and storage disk images is once again born of a server-centric computing paradigm and does not lend itself to enable distribution across shared resources. In a cloud computing paradigm, applications should ideally be constructed as a collection of services which can be composed, decomposed and distributed on the fly. 3. ANALYSIS OF PROBLEM The security problem becomes more complicated under the cloud model as new dimension has entered into the problem scope related to the model architecture, multi tenancy, Elasticity and layer dependency stack cloud computer is a term that applies to application And data storage that are deliver over the internet or via wireless technology.security is one of the most major issue of cloud computing. To minimize the problem of security Hazards for the enterprise consult the need of the over is for the companies to chalk out. A mobile device security policies being entity best on the internet makes it vulnerable to Hack attacks. If provider have not done good jobs security their own environment the Consumer cloud be in a trouble. Measuring the quantity of cloud provide approach to the security is difficult because many cloud provides will not expose their infrastructer to the Customer.Consumer obtain the gurranty from provider though service level agreement,which negotitated between provider and consumer.this SLA mechanism co-operate the user feedback and cusmization. Future work : Developed the prototype Conduct the experiment Evalute the approach Increase storage allocation Use SLA to enforce trusted behaviour Cloud computing is a term used to describe both a platform and type of application. A cloud computing platform dynamically provisions, configures, reconfigures, and deprovisions servers as needed. Servers in the cloud can be physical machines or virtual machines. Advanced clouds typically include other computing resources such as storage area networks (SANs), network equipment, firewall and other security devices. Cloud computing also describes applications that are extended to be accessible through the Internet. These cloud applications use large data centers and powerful servers that host Web applications and Web services. Anyone with a suitable Internet connection and a standard browser can access a cloud application. A cloud is a pool of virtualized computer resources. A cloud can: Host a variety of different workloads, including batchstyle back-end jobs and interactive, user-facing applications. Allow workloads to be deployed and scaled-out quickly through the rapid provisioning of virtual machines or physical machines. Support redundant, self-recovering, highly scalable programming models that allow workloads to recover from many unavoidable hardware/software failures Monitor resource use in real time to enable rebalancing of allocations when needed. Cloud computing environments support grid computing by quickly providing physical and virtual servers on which the grid applications can run. Cloud computing should not be confused with grid computin. Grid computing involves dividing a large task into many smaller tasks that run in parallel on separate servers. Grids require many computers, typically in the thousands, and commonly use servers, desktops, and laptops. Clouds also support nongrid environments, such as a three-tier Web architecture running standard or Web 2.0 applications. A cloud is more than a collection of computer resources because a Cloud provides a mechanism to manage those resources. Management includes provisioning, change requests, reimaging, workload rebalancing, deprovisioning, and monitoring. 5. PROPOSED WORK 5.1 Architecture Model 4. OVERVIEW VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 250

4 servers that are automatically created and managed by the distributed services assurance platform Legacy Integration Services Mediation: This is a layer that provides integration and support for existing or legacy application in our reference architecture model. Figure: 5.1 Architecture model for next generation cloud computing infrastructure As in above figure, proposed reference architecture of next generation of cloud computing is as follows: The next generation architecture for cloud computing must completely decouple physical resources management from virtual resource management. Provide the capability to mediate between applications and resources in real-time. Infrastructure Service Fabric: This layer comprises two pieces. Together the two components enable a computing resource dial-tone that provides the basis for provisioning resource equitably to all applications in the cloud: 1. Distributed Services Mediation: This is a FCAPS- based (Fault, Configuration, Accounting, Performance and Security) abstraction layer that enables autonomous self-management of every individual resource in a network of resources that may be distributed geographically 2. Virtual Resource Mediation Layer: This provides the ability to compose logical virtual servers with a level of service assurance that guarantees resources such as number of CPUs, memory, bandwidth, latency, IOPS (I/O operations per second), storage throughput and capacity. Distributed service delivery platform: This is essentially a workflow engine that executes the application which - as we described in the previous section, is ideally composed as business workflow that orchestrates a number of distributable workflow elements. Distributed Services Creation Platform: This layer provides the tools that developers will use to create applications defined as collection of services which can be composed, decomposed and distributed on the fly to virtual 6. DEPLOYMENT OF THE REFERENCE MODEL The generic cloud service platform requirements must address the needs of four categories Infrastructure Providers 6.2. Service Providers 6.3. Service Developers 6.4. End Users 6.1 Infrastructure Providers These are vendors who provide the underlying computing, network and storage resources that can be carved up into logical cloud computers which will be dynamically controlled to deliver massively scalable and globally interoperable service network infrastructure. The infrastructure will be used by both service creators who develop the services and also the end users who utilize these services. Current storage and computing server infrastructure has neither the ability to dynamic dial-up and dial-down resources nor the capability for dynamic management which will help eliminate the numerous layers of present day management systems and the human latency they contribute. The new reference architecture provides an opportunity for the infrastructure vendors to eliminate current systems administration oriented management paradigm and enable next generation real-time, on-demand Service Providers They will be able to effectively measure and meter resource utilization end-to-end usage to enable a dial-tone for computing service while managing Service Levels to meet the availability, performance and security requirements for each service. The service provider will now manage the application s connection to computing, network and storage resource with appropriate SLAs. This will also enable a new VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 251

5 distributed virtual services operating system that provides distributed FCAPS-based resource management on demand Service Developers They will be able to develop cloud- based services using the management services API to configure, monitor and manage service resource allocation, availability, utilization, performance and security of their applications in real-time. Service management and service delivery will now be integrated into application development to allow application developers to be able to specify run time SLAs. 6.4.End Users Their demand for choice, mobility and interactivity with intuitive user interfaces will continue to grow. The managed resources in our reference architecture will now not only allow the service developers to create and deliver services using logical servers that end users can dynamically provision in real-time to respond to changing demands, but also provide service providers the capability to charge the end-user by metering exact resource usage for the desired SLA. 7. APPLICATION Clients would be able to access their applications and data from anywhere at any time. They could access the cloud computing system using any computer linked to the Internet. Data wouldn't be confined to a hard drive on one user's computer or even a corporation's internal network. It could bring hardware costs down. Cloud computing systems would reduce the need for advanced hardware on the client side. You wouldn't need to buy the fastest computer with the most memory, because the cloud system would take care of those needs for you. Instead, you could buy an inexpensive computer terminal. The terminal could include a monitor, input devices like a keyboard and mouse and just enough processing power to run the middleware necessary to connect to the cloud system. You wouldn't need a large hard drive because you'd store all your information on a remote computer Corporations that rely on computers have to make sure they have the right software in place to achieve goals. Cloud computing systems give these organizations company-wide access to computer applications. The companies don't have to buy a set of software or software licenses for every employee. Instead, the company could pay a metered fee to a cloud computing company. Servers and digital storage devices take up space. Some companies rent physical space to store servers and databases because they don't have it available on site. Cloud computing gives these companies the option of storing data on someone else's hardware, removing the need for physical space on the front end. Corporations might save money on IT support. Streamlined hardware would, in theory, have fewer problems than a network of heterogeneous machines and operating systems. 8. CONCLUSION Thus in this paper we conclude that a reference architecture model for a distributed cloud computing management platform which will form the basic for enabling next generation cloud computing infrastructure. Also highlighted the need for FCAPS-based (fault, configuration, accounting, performance and security) service mediation to provide global management functionality for all networked physical resources that comprissed a cloud irrespective for their distribution across many physical servers in different geographical locations. REFERENCES [1] Rajkumar Buyyaa, Chee Shin Yeoa,, Srikumar Venugopala, James Broberga, and Ivona Brandicc, Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility, Future Generation Computer Systems, Volume 25, Issue 6, June 2009, Pages [2] Ason A. Kappel, Anthony T. Velte, Toby J. Welte, Microsoft Virtualization with Hyper-V, McGraw Hill, New York, 2009 [3] David Chisnall, guide to the xen hypervisor, First edition, Prentice Hall, Press, NJ, 2009 [4] Gartner s 2008 Data Center Conference Instant Polling Results: Virtualization Summary March 2, 2009 [5] S. Shankar, Amazon elastic compute cloud, 2009 VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 252

6 [6] A. Zahariev, Google app engine, Helsinki University of Technology, 2009 [7] Adriana Barnoschi, Backup and Disaster Recovery For Modern Enterprise, 5th International Scientific Conference, Business and Management 2008, Vilnius, Lithuvania. [8] C. H. Constantinos Evangelinos, Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on [9] Amazon s EC2, The First Workshop on Cloud Computing and its Applications (CCA 08), October [10] Graham Chen, Qinzheng Kong, Jaon Etheridge and Paul Foster, "Integrated TMN Service Management", Journal of Network and Systems Management, Springer New York, Volume 7, 1999, p [11] Haan Qi and Abdullah Gani, Research on Mobile Cloud Computing: Review, Trend and Prespective. VOLUME-2, SPECIAL ISSUE-1, MARCH-2015 COPYRIGHT 2015 IJREST, ALL RIGHT RESERVED 253