Pub Date : 2014-10-01DOI: 10.1109/CCEM.2014.7015498
Manu A. R., Vinod Kumar Agrawal, K. N. Balasubramanya Murthy, Manoj Kumar M.
Innovative approaches for securing the computing systems have intense inference for our understanding of technological, societal, economical, and political phenomena in making guiding principles, policies, rules and security implementations. The model presented here is based on cooperative and collaborative multilateral relationship among the shared business community partners. The sole responsibility for the securing and maintenance of their own virtualized dedicated boxes with jointly hosted data centers distributed geographically is equally, vested with service consumers and vendors. Inspired by multilateral techniques used in army and health care applications, this model is a conceptual and empirical tool aimed, rather depicting a particular set of observed situations or making predictions. It is aimed is to develop our understanding of the fundamental mechanisms driving the security implementations of existing methods and provide the MCF - multilateral collaborative co-operative framework. This MCF demonstrates an interrelated multilayered virtualized architectural framework for computing utility using virtualization platform. We try to demonstrate qualitatively and empirically the proposed architecture works well for a wide range of workloads and devices belonging to multi tenants with varied security needs. This work is compared with currently existing virtualization platform security framework and avail the novelty of the proposed ontology and framework.
{"title":"Towards Realizing the Secured Multilateral Co-Operative Computing Architectural Framework","authors":"Manu A. R., Vinod Kumar Agrawal, K. N. Balasubramanya Murthy, Manoj Kumar M.","doi":"10.1109/CCEM.2014.7015498","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015498","url":null,"abstract":"Innovative approaches for securing the computing systems have intense inference for our understanding of technological, societal, economical, and political phenomena in making guiding principles, policies, rules and security implementations. The model presented here is based on cooperative and collaborative multilateral relationship among the shared business community partners. The sole responsibility for the securing and maintenance of their own virtualized dedicated boxes with jointly hosted data centers distributed geographically is equally, vested with service consumers and vendors. Inspired by multilateral techniques used in army and health care applications, this model is a conceptual and empirical tool aimed, rather depicting a particular set of observed situations or making predictions. It is aimed is to develop our understanding of the fundamental mechanisms driving the security implementations of existing methods and provide the MCF - multilateral collaborative co-operative framework. This MCF demonstrates an interrelated multilayered virtualized architectural framework for computing utility using virtualization platform. We try to demonstrate qualitatively and empirically the proposed architecture works well for a wide range of workloads and devices belonging to multi tenants with varied security needs. This work is compared with currently existing virtualization platform security framework and avail the novelty of the proposed ontology and framework.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130538773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/CCEM.2014.7015487
Venkatesh Nuthula, N. R. Challa
With the emergence of Cloud Computing technology many enterprises started moving their applications to the cloud to gain the benefits of hosting applications online versus having to have physical hardware or build out infrastructure. This new technology trend presents new challenges to application developers to enable applications in the cloud. Building applications for the cloud requires a major paradigm shift and new thinking about the application design, system architecture and needs an emphasis on leveraging massive scale. Building scalable applications for the cloud requires solid engineering and design by addressing the Statelessness, Redundancy, Resiliency, Server failures, New database approach, security, fast-changing platforms and dealing with different frameworks. While cloud deployments can abstract developers from having to deal with infrastructure issues, developers can focus on innovation and business logic instead of worrying about plumbing and infrastructure such as the operating systems, hardware etc. This paper is targeted towards cloud application developers and architects who are responsible for developing brand new cloud applications as well as migrating existing applications to clouds. The focus of this paper is to highlight design principles and best practices applicable to application development in cloud environment.
{"title":"Cloudifying Apps - A Study of Design and Architectural Considerations for Developing Cloudenabled Applications with Case Study","authors":"Venkatesh Nuthula, N. R. Challa","doi":"10.1109/CCEM.2014.7015487","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015487","url":null,"abstract":"With the emergence of Cloud Computing technology many enterprises started moving their applications to the cloud to gain the benefits of hosting applications online versus having to have physical hardware or build out infrastructure. This new technology trend presents new challenges to application developers to enable applications in the cloud. Building applications for the cloud requires a major paradigm shift and new thinking about the application design, system architecture and needs an emphasis on leveraging massive scale. Building scalable applications for the cloud requires solid engineering and design by addressing the Statelessness, Redundancy, Resiliency, Server failures, New database approach, security, fast-changing platforms and dealing with different frameworks. While cloud deployments can abstract developers from having to deal with infrastructure issues, developers can focus on innovation and business logic instead of worrying about plumbing and infrastructure such as the operating systems, hardware etc. This paper is targeted towards cloud application developers and architects who are responsible for developing brand new cloud applications as well as migrating existing applications to clouds. The focus of this paper is to highlight design principles and best practices applicable to application development in cloud environment.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/CCEM.2014.7015486
Pramod C. Mane, Abhay A. Ratnaparkhi
The idea of composite cloud service has been emerging to reduce negative impact of cloud bursting. The novel idea of composite cloud services is achieved by forming a dynamic cloud collaboration platform among cloud providers. An important prerequisite of dynamic collaborative cloud formation is to reduce the cost of infrastructure and prevent loss to business enterprises owing to cloud bursting. The major concern in dynamic cloud collaboration is to minimize conflict among cloud providers and ensure each provider''s benefit. In recent years several market based models have been proposed that deal with twofold objectives: First, conflict minimization among providers and Second, benefit maximization of the providers. However, existing combinatorial auction based market models that attempt to achieve dynamic cloud collaboration are computationally in efficient. In this paper we have proposed cloud partner matching algorithm to facilitate partner selection process. Our proposed cloud partner matching algorithm minimizes conflicts among cloud providers by mutual consent.
{"title":"Cloud Partner Selection Algorithm for Dynamic Cloud Collaboration","authors":"Pramod C. Mane, Abhay A. Ratnaparkhi","doi":"10.1109/CCEM.2014.7015486","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015486","url":null,"abstract":"The idea of composite cloud service has been emerging to reduce negative impact of cloud bursting. The novel idea of composite cloud services is achieved by forming a dynamic cloud collaboration platform among cloud providers. An important prerequisite of dynamic collaborative cloud formation is to reduce the cost of infrastructure and prevent loss to business enterprises owing to cloud bursting. The major concern in dynamic cloud collaboration is to minimize conflict among cloud providers and ensure each provider''s benefit. In recent years several market based models have been proposed that deal with twofold objectives: First, conflict minimization among providers and Second, benefit maximization of the providers. However, existing combinatorial auction based market models that attempt to achieve dynamic cloud collaboration are computationally in efficient. In this paper we have proposed cloud partner matching algorithm to facilitate partner selection process. Our proposed cloud partner matching algorithm minimizes conflicts among cloud providers by mutual consent.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/CCEM.2014.7015491
Sudhir Goyal, S. Bawa, Bhupinder Singh
Nowadays, with the increased deployment of servers to facilitate high performance computing (HPC) for scientific and engineering applications lead to large consumption of energy. Cloud computing is a cost-effective solution, as it allows to host storage, computational and supported network services on a shared infrastructure of physical servers. However, the growing demand of cloud infrastructure among the IT companies is drastically increasing, by which data centers are drawing more energy. Energy efficient scheduling is one effective solution to streamline the resource usage as well as reduce the energy consumption. The proposed work in this paper demonstrates the resource allocation and makes an energy consumption analysis of Greedy, Round Robin and Power Aware Best Fit Decreasing scheduling algorithms on a private academic cloud. This paper provides an insight into the working of different scheduling scenarios for cloud computing and demonstrates the potential for the improvement of energy efficiency of PABFD algorithm under academic workload.
{"title":"Experimental Comparison of Three Scheduling Algorithms for Energy Efficiency in Cloud Computing","authors":"Sudhir Goyal, S. Bawa, Bhupinder Singh","doi":"10.1109/CCEM.2014.7015491","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015491","url":null,"abstract":"Nowadays, with the increased deployment of servers to facilitate high performance computing (HPC) for scientific and engineering applications lead to large consumption of energy. Cloud computing is a cost-effective solution, as it allows to host storage, computational and supported network services on a shared infrastructure of physical servers. However, the growing demand of cloud infrastructure among the IT companies is drastically increasing, by which data centers are drawing more energy. Energy efficient scheduling is one effective solution to streamline the resource usage as well as reduce the energy consumption. The proposed work in this paper demonstrates the resource allocation and makes an energy consumption analysis of Greedy, Round Robin and Power Aware Best Fit Decreasing scheduling algorithms on a private academic cloud. This paper provides an insight into the working of different scheduling scenarios for cloud computing and demonstrates the potential for the improvement of energy efficiency of PABFD algorithm under academic workload.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131788867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-08-12DOI: 10.1109/CCEM.2014.7015496
D. Mittal, Damandeep Kaur, A. Aggarwal
With the advancement in technology, industry, e-commerce and research a large amount of complex and pervasive digital data is being generated which is increasing at an exponential rate and often termed as big data. Traditional Data Storage systems are not able to handle Big Data and also analyzing the Big Data becomes a challenge and thus it cannot be handled by traditional analytic tools. Cloud Computing can resolve the problem of handling, storage and analyzing the Big Data as it distributes the big data within the cloudlets. No doubt, Cloud Computing is the best answer available to the problem of Big Data storage and its analyses but having said that, there is always a potential risk to the security of Big Data storage in Cloud Computing, which needs to be addressed. Data Privacy is one of the major issues while storing the Big Data in a Cloud environment. Data Mining based attacks, a major threat to the data, allows an adversary or an unauthorized user to infer valuable and sensitive information by analyzing the results generated from computation performed on the raw data. This thesis proposes a secure k-means data mining approach assuming the data to be distributed among different hosts preserving the privacy of the data. The approach is able to maintain the correctness and validity of the existing k-means to generate the final results even in the distributed environment.
{"title":"Secure Data Mining in Cloud Using Homomorphic Encryption","authors":"D. Mittal, Damandeep Kaur, A. Aggarwal","doi":"10.1109/CCEM.2014.7015496","DOIUrl":"https://doi.org/10.1109/CCEM.2014.7015496","url":null,"abstract":"With the advancement in technology, industry, e-commerce and research a large amount of complex and pervasive digital data is being generated which is increasing at an exponential rate and often termed as big data. Traditional Data Storage systems are not able to handle Big Data and also analyzing the Big Data becomes a challenge and thus it cannot be handled by traditional analytic tools. Cloud Computing can resolve the problem of handling, storage and analyzing the Big Data as it distributes the big data within the cloudlets. No doubt, Cloud Computing is the best answer available to the problem of Big Data storage and its analyses but having said that, there is always a potential risk to the security of Big Data storage in Cloud Computing, which needs to be addressed. Data Privacy is one of the major issues while storing the Big Data in a Cloud environment. Data Mining based attacks, a major threat to the data, allows an adversary or an unauthorized user to infer valuable and sensitive information by analyzing the results generated from computation performed on the raw data. This thesis proposes a secure k-means data mining approach assuming the data to be distributed among different hosts preserving the privacy of the data. The approach is able to maintain the correctness and validity of the existing k-means to generate the final results even in the distributed environment.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127218981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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