pp.34-37<\/p>\n
Fazle Mateen1,\u00a0Apurva Soni2 ,Shantanu Varshney3<\/strong> Abstract<\/strong><\/p>\n Cloud Computing is a technology that has brought revolution in the field of computing and developed a major trend in IT.\u00a0It is a technique where we have the access to our data and application from anywhere in the world with an internet access.\u00a0The data and applications lie remotely on the central remote server. In other terms it is a technique of delivering the services using internet. The beauty of cloud computing is that some other company hosts our application which means they handle the cost of\u00a0servers, manage the software updates and depending on the usage of the service we pay for the service.\u00a0In this paper we will discuss about the problems we face regarding the security issues, data integrity, economical\u00a0constraints, and balancing the traffic over the network, in the case of cloud computing.<\/p>\n Keywords:<\/strong> Cloud Computing, Networking, Data integrity, Economical constraints, etc.<\/p>\n I. INTRODUCTION<\/strong> II. COMPONENTS OF CLOUD III. CURRENT SCENARIO<\/strong> IV. PROBLEM AND ITS SOLUTION<\/strong> V. METHODOLOGY<\/strong> VI. CONCLUSION<\/strong> VII. REFERENCES<\/strong> [2] Domenico Talia. Cloud Computing and Software\u00a0Agents: Towards Cloud Intelligent Services, in\u00a0proceedings of 12th Workshop on Objects and Agents\u00a0(WOA-2011), Renede(CS) Italy, July 4-6, 2011, Vol.\u00a0741, pp 2-6. [5]Rajkumar Buyya, Rajiv Ranjan, Rodrigo N.\u00a0Calheiros. Inter Cloud: Utility-Oriented Federation of\u00a0Cloud Computing Environments for Scaling of\u00a0Application Services. In the proceedings of the 10th\u00a0International Conference on Algorithms and\u00a0Architectures for Parallel Processing (ICA3PP 2010,\u00a0Busan, South Korea, May 21-23, 2010), LNCS,\u00a0Springer, Germany, 2010. pp.34-37 Fazle Mateen1,\u00a0Apurva Soni2 ,Shantanu Varshney3 1,2 Dept. of Computer Application, Suresh Gyan Vihar University,Jaipur 3 Assistant Professor, Suresh Gyan Vihar University, Jaipur Abstract Cloud Computing is a technology that has brought revolution in the field of computing and developed a major trend in IT.\u00a0It is a technique where we have the access to our […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[],"class_list":["post-1588","post","type-post","status-publish","format-standard","hentry","category-volume-1-issue-2-2015-journal-of-engineering-and-technology"],"yoast_head":"\n
\n1,2 Dept. of Computer Application, Suresh Gyan Vihar University,Jaipur
\n3 Assistant Professor, Suresh Gyan Vihar University, Jaipur<\/p>\n
\nCloud Computing refers to both the applications\u00a0delivered as services over the internet and the hardware\u00a0and systems software in the datacenters that provide\u00a0those services. The services themselves have long been\u00a0referred to as Software as a Service (SaaS). And cloud
\ncomputing is an example of the vision he had where the\u00a0computing services are available on demand. The\u00a0consumer (Computing service user) can access the\u00a0service related to computer, whether it is a software or\u00a0hardware or infrastructure, and pay for the duration he\u00a0accessed the services, that is, \u201cPay as per Usage\u201d. With\u00a0this technology, the consumers don\u2019t have to invest\u00a0heavily or find difficulties in setting up and maintaining\u00a0the complex IT Infrastructure. The name, cloud, is given\u00a0due to the involvement of internet which is a metaphor\u00a0of internet. The benefit of cloud computing is that it\u00a0eliminates the cost and complexity of buying,\u00a0configuring and managing all the hardware and software\u00a0needed for the application. Now, anyone with an internet\u00a0connection can build powerful applications with the\u00a0services provided by Cloud Computing. Cloud\u00a0Computing infrastructure allows users to use IT\u00a0hardware and software in a better way. It increases the\u00a0profitability by improving resource utilization. Sharing\u00a0of resources from large pool of cloud brings down cost\u00a0and increases utilization by delivering resources only for\u00a0as long as those resources are needed.<\/p>\n
\nIn a simple sense, a Cloud Computing solution is made\u00a0of several components: clients, data centers and\u00a0distributed servers. Each element has a purpose and\u00a0plays a specific role in delivering a functional cloud\u00a0based application.
\n\uf0b7 Clients: Clients play the same role as in\u00a0everyday local area network (LAN).They\u00a0are the devices that the end users interact\u00a0with to manage their information on cloud.
\n\uf0b7 Datacenters: is the collection of servers where\u00a0the application we are using is installed.
\n\uf0b7 Distributed Servers: The servers don\u2019t have to\u00a0be housed at the same location, but located\u00a0at geographically dispersed locations all\u00a0over the world. This will help in a way that\u00a0if something goes off at one site, causing a\u00a0failure, the service could be accessed from\u00a0another site.<\/p>\n
\nSimply defined, \u2018Cloud Computing\u2019 is the concept of\u00a0providing services viz. shared resources (Infrastructure\u00a0and Platform), software, and information over the\u00a0Internet to users on demand. The benefits of this\u00a0technology can be counted in terms of the following\u00a0points:
\n\uf0b7 Reduced Cost
\n\uf0b7 Increased Storage
\n\uf0b7 Highly Automated
\n\uf0b7 Flexibility
\n\uf0b7 More Mobility.
\nWith the use of Cloud Computing services, there are\u00a0ever present certain risks. The risks may involve from\u00a0the perspective of both \u2013Customer and Vendor. Some of\u00a0the concerns raised with respect to the customers are:
\nData Security since the data is stored and accessed via\u00a0the Internet.\u00a0The next problem of cloud computing is the Problem of\u00a0failure of service with Internet Service Provider which\u00a0may be a rare problem, but we may not be able to access\u00a0our applications. This problem has happened in July\u00a02008 with Amazon\u2019s S3 cloud storage service which\u00a0went down for eight hours for the second time and the services provided by them were not been accessed until\u00a0the engineers were able to fix the problem. Another\u00a0problem we may face is Application Integration Issues.
\nIt may be difficult to integrate the applications which are\u00a0geographically dispersed. For example, it is always been\u00a0easier for two applications to exchange information\u00a0when residing at the same place, rather than residing on\u00a0the cloud, which is more prone to failure.\u00a0Load-balancing is another problem with Cloud\u00a0Computing. Since Cloud Computing providers have set\u00a0up several datacenters at different geographical locations\u00a0to serve needs of their customers all over the world, the\u00a0existing systems do not provide the mechanisms and\u00a0policies for dynamically coordinating load balancing\u00a0between the cloud based data centers for providing QoS.
\nBeside the above discussed issues, we may encounter a\u00a0problem, Increased Number of Service Provider, from\u00a0customer\u2019s perspective which can be stated as follows:
\nIn just a few short years, cloud computing has become a\u00a0technology that affects everyone\u2019s daily lives. Our\u00a0personal files are stored in cloud. Even we are\u00a0maintaining our friendships via applications in cloud\u00a0running on mobile phones and tablets. This being the\u00a0fastest growing part of IT, cloud computing has\u00a0tremendous benefits to consumers of all size. But none\u00a0of this is happening on its own. It\u2019s all being figured out\u00a0by the companies building clouds. The number of\u00a0services available on cloud is increasing day by day\u00a0there by increasing the number of service providers in\u00a0the market.
\nAs discussed in Literature Review, initially\u00a0salesforce.com was the first company to put the\u00a0milestone in this field in 1999, followed by Amazone in\u00a02002. And today, companies are rushing to develop new\u00a0technologies to speed cloud development. Many leading\u00a0companies like IBM, Google, Yahoo, HP etc. have also\u00a0taken initiatives. With this rapid growth, the list of\u00a0Service providers is expected to grow rapidly by 2014.<\/p>\n
\nOnce the consumer has decided to move to a cloud, the\u00a0next most important decision is to choose the right cloud\u00a0computing service provider from the number of existing\u00a0service providers. This is the most complex area faced\u00a0when managing the cloud as there are scores of service\u00a0providers to choose from.\u00a0There are many services available in the cloud which are\u00a0broadly categorized into 3 categories. And we need to\u00a0find a platform where all the services irrespective of the\u00a0service provider and irrespective of the category (the\u00a0three categories) it is belonging to, we should have\u00a0access to the services we have requested for. To this\u00a0problem, we can find a solution that will help a\u00a0user\/client to retrieve the different service providers and\u00a0the services provided by them with an optimization\u00a0(choosing the best element from some set of available\u00a0alternatives.). For doing this we may think of some\u00a0solution that can gather the requested information and\u00a0process them (i.e. selection of service providers,\u00a0selection of optimized services).
\nSuppose a client\/user has requested for a service. There\u00a0are many service providers who are providing that\u00a0particular service requested by the client and all are\u00a0working on their own set of rules. So first of all we have\u00a0to think of a solution (a process) that will work on a\u00a0common platform\/common interface. The next problem\u00a0comes of retrieving all service providers providing that\u00a0particular requested service. For that our process should\u00a0maintain an index between the services and their\u00a0corresponding service provider. This indexing has to be\u00a0refreshed from time to time. Once the process gets the\u00a0list of services it should check those services for\u00a0optimization in terms of access time, in terms of cost, in\u00a0terms of security. Once the required request is matched,\u00a0the process must set up a connection between the client\u00a0and the service provider for the exchange of services. So\u00a0the solution to the problem discussed needs an
\nautomated process which is capable enough to do all the\u00a0things.
\nWhen the links require complex, dynamic binding and\u00a0are subject to rapid change, agent-based approaches\u00a0should be considered. We can think of an automated\u00a0process – an AGENT that does the mapping between the\u00a0requirements of the user and the service providers. The\u00a0idea of using agent has been discussed in. Our agent will\u00a0retrieve all the service providers available on internet,\u00a0select the services and optimize the services on the basis\u00a0\u00a0of access time or on the basis of cost.<\/p>\n
\nThe idea to conduct this research is to manage the cloud\u00a0computing services with the help of a system which is\u00a0capable of intelligent behavior. We propose a MULTIAGENT\u00a0SYSTEM integrated with Cloud that makes it\u00a0more flexible, autonomous and results in high\u00a0performance. This system is a special software\u00a0component that has the ability to act independently on\u00a0user behalf without any interference. The prototype of\u00a0this system has two roles: service provider and customer.
\nThe goal is to design a system (software) that provides\u00a0the customer with an application program interface\u00a0(API) and graphical user interface (GUI) that hides any\u00a0complexity and allow the customers to select the best\u00a0suited service provider for their requirements. The\u00a0architecture of this system has two layers: application\u00a0layer and Internet layer.\u00a0The application layer contains all the applications such\u00a0as agent generation, agent management, retrieval of data\u00a0by agent and optimize the retrieved data and provides\u00a0decision support. The system provides all the services to\u00a0customer through a standard interface. The Internet layer is the layer from where the required\u00a0data, fulfilling the needs of the cloud user, is being\u00a0retrieved.\u00a0The whole system will be simulated with the help of a\u00a0high level language (HLL).<\/p>\n
\nThe proposal suggests an AGENT for cloud computing\u00a0services that retrieves the optimized services for the\u00a0computing service user.\u00a0In today\u2019s scenario there might be very few service\u00a0providers for cloud computing and there might be very\u00a0few services provided by them. But what if the service\u00a0providers and the services will increase in future? It\u00a0would be difficult to find the optimized services on our\u00a0own. So we require some kind of automated procedure\u00a0that will take care of the things no matter how many\u00a0service providers are there and how many services they\u00a0are providing.<\/p>\n
\n[1] Michael Armbrust, Armando Fox, Rean Griffith,\u00a0Anthony D. Joseph, Randy Katz, Andy Konwinski,\u00a0Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica,\u00a0and Matei Zaharia. Above the Clouds: A Berkeley View\u00a0of Cloud Computing. Technical Report 2009, Electrical\u00a0Engineering And Computer Science, College of\u00a0Engineering, UC Berkeley(EECS-2009-28).<\/p>\n
\n[3] J. Octavio Gutierrez-Garcia and Kwang-Mong Sim.\u00a0Self-Organizing Agents for Service Composition in\u00a0Cloud Computing. In Proceedings of the 2010 IEEE\u00a0Second International Conference on Cloud Computing\u00a0Technology and Science (CLOUDCOM ’10), pp 59-66,\u00a0Nov 30 \u2013 Dec 3, 2010.
\n[4] Dinesh Kumar R C, Ashwin R. Multi-Agent based\u00a0Cloud Services. International Journal of Computer\u00a0Applications(IJCA)Proceedings on E-Governance and\u00a0Cloud Computing Services \u2013 2012, Vol. EGOV \u2013Number 1, pp 7-10, ISBN 973-93-80870-67-9.<\/p>\n
\n[6]Fabio Bellifemine, Agostino Poggi, Giovanni\u00a0Rimassa. JADE \u2013 A FIPA-compliant agent framework.\u00a01999
\n[7]Aarti Singh, Manisha Malhotra. Agent Based\u00a0Framework for Scalability in Cloud Computing.\u00a0International Journal of Computer Science and\u00a0Engineering Technology (IJCSET), vol3, issue 4, April\u00a02012 pp 41-45, ISSN 2229-3345.<\/p>\n","protected":false},"excerpt":{"rendered":"