Pub Date : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7336984
Karim Zkik, Maha Tebaa, Ghizlane Orhanou, S. El Hajji
The Mobile Cloud Computing offers more and more services for data storage and sharing. It offers to users enormous storage space and allows them to recover their data anywhere and anytime. But the evolution of these services in the MCC remains slow, in front of the many constraints it faces such as processing power limitation, high energy consumption and, problems related to data security and confidentiality. We, propose an efficient structure for storing and sharing data that ensures security and user privacy without overloading the mobile device. Our structure enables quick and easy access to a Cloud server for uploading and downloading data safely. Our platform uses a system of files classification and a homomorphic keyword research for more fluent and easy access.
{"title":"An efficient secure platform for storage in MCC","authors":"Karim Zkik, Maha Tebaa, Ghizlane Orhanou, S. El Hajji","doi":"10.1109/CLOUDTECH.2015.7336984","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336984","url":null,"abstract":"The Mobile Cloud Computing offers more and more services for data storage and sharing. It offers to users enormous storage space and allows them to recover their data anywhere and anytime. But the evolution of these services in the MCC remains slow, in front of the many constraints it faces such as processing power limitation, high energy consumption and, problems related to data security and confidentiality. We, propose an efficient structure for storing and sharing data that ensures security and user privacy without overloading the mobile device. Our structure enables quick and easy access to a Cloud server for uploading and downloading data safely. Our platform uses a system of files classification and a homomorphic keyword research for more fluent and easy access.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128541487","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7337011
Khalid El Makkaoui, Abdellah Ezzati, A. B. Hssane
With the emergence of cloud computing, the concept of information security has become a major issue. Indeed, the security of such a system is the greatest concern of computer scientists, providers of cloud and organizations who want to adopt and benefit from these services. Cloud computing providers must implement concepts ensuring network security, hardware, data storage and strategies of control and access to services. All these elements help to preserve data security and ensuring the availability of services associated with the Cloud, to better satisfy clients and acquire and build their trust. However, even if the data storage security in cloud servers is assured, reluctance remain when it comes to process the confidential data. Indeed, the fear that sensitive data is being used is a major obstacle in the adoption of cloud services by enterprises. To overcome this obstacle, the use of methods that can perform operations on encrypted data without knowing the secret key, seems to be an effective way to strengthen the confidentiality of information. In this paper we will examine the challenges facing Homomorphic Encryption methods to allow suppliers of cloud to perform operations on encrypted data, and provide the same results after treatment, as if they were performing calculations on raw data.
{"title":"Challenges of using homomorphic encryption to secure cloud computing","authors":"Khalid El Makkaoui, Abdellah Ezzati, A. B. Hssane","doi":"10.1109/CLOUDTECH.2015.7337011","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337011","url":null,"abstract":"With the emergence of cloud computing, the concept of information security has become a major issue. Indeed, the security of such a system is the greatest concern of computer scientists, providers of cloud and organizations who want to adopt and benefit from these services. Cloud computing providers must implement concepts ensuring network security, hardware, data storage and strategies of control and access to services. All these elements help to preserve data security and ensuring the availability of services associated with the Cloud, to better satisfy clients and acquire and build their trust. However, even if the data storage security in cloud servers is assured, reluctance remain when it comes to process the confidential data. Indeed, the fear that sensitive data is being used is a major obstacle in the adoption of cloud services by enterprises. To overcome this obstacle, the use of methods that can perform operations on encrypted data without knowing the secret key, seems to be an effective way to strengthen the confidentiality of information. In this paper we will examine the challenges facing Homomorphic Encryption methods to allow suppliers of cloud to perform operations on encrypted data, and provide the same results after treatment, as if they were performing calculations on raw data.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436447","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7336974
K. Munir
Database-as-a-service (DBaaS) is a cloud computing service model that provides users with some form of access to a database without the need for setting up physical hardware, installing software or configuring for performance. Since consumers host data on the Cloud, DBaaS providers should be able to guarantee data owners that their data would be protected from all potential security threats. Protecting application data for large-scale web and mobile apps can be complex; especially with distributed and NoSQL databases. Data centers are no longer confined to the enterprise perimeter. More and more enterprises take their data to the cloud, but forget to adjust their security management practices when doing so. Unauthorized access to data resources, misuse of data stored on third party platform, data confidentiality, integrity and availability are some of the major security challenges that ail this nascent Cloud service model, which hinders the wide-scale adoption of DBaaS. In this paper, I propose a security model for cloud Database as a service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the proposed framework for DBaaS and achieves efficiency. This will help Cloud community to get an insight into state-of-the-art progress in terms of secure strategies, their deficiencies and possible future directions.
{"title":"Security model for cloud database as a service (DBaaS)","authors":"K. Munir","doi":"10.1109/CLOUDTECH.2015.7336974","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336974","url":null,"abstract":"Database-as-a-service (DBaaS) is a cloud computing service model that provides users with some form of access to a database without the need for setting up physical hardware, installing software or configuring for performance. Since consumers host data on the Cloud, DBaaS providers should be able to guarantee data owners that their data would be protected from all potential security threats. Protecting application data for large-scale web and mobile apps can be complex; especially with distributed and NoSQL databases. Data centers are no longer confined to the enterprise perimeter. More and more enterprises take their data to the cloud, but forget to adjust their security management practices when doing so. Unauthorized access to data resources, misuse of data stored on third party platform, data confidentiality, integrity and availability are some of the major security challenges that ail this nascent Cloud service model, which hinders the wide-scale adoption of DBaaS. In this paper, I propose a security model for cloud Database as a service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the proposed framework for DBaaS and achieves efficiency. This will help Cloud community to get an insight into state-of-the-art progress in terms of secure strategies, their deficiencies and possible future directions.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643324","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7337013
Hicham Toumi, M. Talea, K. Sabiri, A. Eddaoui
Cloud Computing is evolving as a key computing platform for sharing resources that include infrastructures, software, applications, and business. However, Cloud Computing is still a matter of great concern for a cloud user to trust security and reliability of cloud services. Cloud Computing is undergoing an incontestable success, which could be indeed compromised by concerns about the risks related to potential misuse of this model aimed at conducting illegal activities. There is major need of bringing security, transparency and reliability in cloud model for client satisfaction. One of the security issues is how to reduce the impact of any type of intrusion in this environment. To overcome these kinds of attacks, we propose a framework of cooperative Hybrid Intrusion Detection System (Hy-IDS) and Mobile Agents. Then, our Hybrid IDS consists of two types of IDS, which are dispatched over three layer of cloud computing. Therefore, in the first layer our framework allows to collect, analyze and detect malicious data using the first type of IDS and Mobile Agents. In case of attack, we collect at the level of the second layer all the malicious data detected in the first layer for the generation of new signatures, based on a Signature Generation Algorithm (SGA) and network intrusion detection system (NIDS). However, these new signatures are used to update the database of the IDS. The mobile agents play an important role in this collaboration. They are used in our framework for investigation of hosts, transfer data malicious and transfer update of a database of neighboring IDS in the cloud. Therefore, the neighboring IDS will use these new signatures to protect their area of control against the same type of attack. Applying this close-loop control, the collaborative network security management framework could identify and address new distributed attacks more quickly and effectively.
{"title":"Toward a trusted framework for cloud computing","authors":"Hicham Toumi, M. Talea, K. Sabiri, A. Eddaoui","doi":"10.1109/CLOUDTECH.2015.7337013","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337013","url":null,"abstract":"Cloud Computing is evolving as a key computing platform for sharing resources that include infrastructures, software, applications, and business. However, Cloud Computing is still a matter of great concern for a cloud user to trust security and reliability of cloud services. Cloud Computing is undergoing an incontestable success, which could be indeed compromised by concerns about the risks related to potential misuse of this model aimed at conducting illegal activities. There is major need of bringing security, transparency and reliability in cloud model for client satisfaction. One of the security issues is how to reduce the impact of any type of intrusion in this environment. To overcome these kinds of attacks, we propose a framework of cooperative Hybrid Intrusion Detection System (Hy-IDS) and Mobile Agents. Then, our Hybrid IDS consists of two types of IDS, which are dispatched over three layer of cloud computing. Therefore, in the first layer our framework allows to collect, analyze and detect malicious data using the first type of IDS and Mobile Agents. In case of attack, we collect at the level of the second layer all the malicious data detected in the first layer for the generation of new signatures, based on a Signature Generation Algorithm (SGA) and network intrusion detection system (NIDS). However, these new signatures are used to update the database of the IDS. The mobile agents play an important role in this collaboration. They are used in our framework for investigation of hosts, transfer data malicious and transfer update of a database of neighboring IDS in the cloud. Therefore, the neighboring IDS will use these new signatures to protect their area of control against the same type of attack. Applying this close-loop control, the collaborative network security management framework could identify and address new distributed attacks more quickly and effectively.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127841246","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7337017
Rayane El Sibai, T. Atéchian, J. B. Abdo, R. Tawil, J. Demerjian
In the last twenty years, vehicles have become equipped with various sensors and resources, making them capable to communicate, to share resources and to behave cooperatively. This gave rise to the concept of vehicular cloud (VC). Vehicular cloud can be described from the standpoint of applications and services offered by vehicles that belong to a Vehicular Ad hoc Network (VANET). Because of the limitation of computation, storage and bandwidth resources for complex in-vehicle multimedia, entertainment applications, it is important to request services from service provider vehicles in the network, forming a cloud. However, the main challenge of vehicular networks is how to maintain the connectivity between the vehicles during service provision process. It is important to note that, to fully provide a service without interruption, it is necessary to ensure that the connectivity duration between the requestor and the service provider vehicles is sufficient for a complete end-to-end transmission. In this paper, a connectivity-aware service provision mechanism is proposed for VANET, where the service provider vehicle is selected based on several parameters such as the availability of the requested service and the mobility of the vehicles.
{"title":"Connectivity-aware service provision in vehicular cloud","authors":"Rayane El Sibai, T. Atéchian, J. B. Abdo, R. Tawil, J. Demerjian","doi":"10.1109/CLOUDTECH.2015.7337017","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337017","url":null,"abstract":"In the last twenty years, vehicles have become equipped with various sensors and resources, making them capable to communicate, to share resources and to behave cooperatively. This gave rise to the concept of vehicular cloud (VC). Vehicular cloud can be described from the standpoint of applications and services offered by vehicles that belong to a Vehicular Ad hoc Network (VANET). Because of the limitation of computation, storage and bandwidth resources for complex in-vehicle multimedia, entertainment applications, it is important to request services from service provider vehicles in the network, forming a cloud. However, the main challenge of vehicular networks is how to maintain the connectivity between the vehicles during service provision process. It is important to note that, to fully provide a service without interruption, it is necessary to ensure that the connectivity duration between the requestor and the service provider vehicles is sufficient for a complete end-to-end transmission. In this paper, a connectivity-aware service provision mechanism is proposed for VANET, where the service provider vehicle is selected based on several parameters such as the availability of the requested service and the mobility of the vehicles.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244830","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7336968
Omar Sefraoui, Mohammed Aissaoui, M. Eleuldj
The Cloud Computing is a new concept in which dynamically scalable resources, virtualized and provided to users as a service over the Internet. It is primarily intended to meet the needs of users and allow them access to virtually unlimited resources. In fact, many researchers are motivated to develop solutions to improve performance and give users more tools to control the use of cloud computing. The cloud services offered is very diverse in terms of hardware and software, providing a wide range of configurations, and great flexibility., In this paper we propose a Management platform for Cloud Computing (Man4CC platform), aimed to act as an intermediate between users and Cloud environment. The main purpose of the Man4CC platform is to support cloud environment and offering additional components that enhance the functionality. The Man4CC platform is open source solution, scalable, interoperable and extensible. Also dealing with a management platform specification approach by capturing the user specifications and translate them into rules that will help to generate the cloud settings.
{"title":"Management platform for Cloud Computing","authors":"Omar Sefraoui, Mohammed Aissaoui, M. Eleuldj","doi":"10.1109/CLOUDTECH.2015.7336968","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336968","url":null,"abstract":"The Cloud Computing is a new concept in which dynamically scalable resources, virtualized and provided to users as a service over the Internet. It is primarily intended to meet the needs of users and allow them access to virtually unlimited resources. In fact, many researchers are motivated to develop solutions to improve performance and give users more tools to control the use of cloud computing. The cloud services offered is very diverse in terms of hardware and software, providing a wide range of configurations, and great flexibility., In this paper we propose a Management platform for Cloud Computing (Man4CC platform), aimed to act as an intermediate between users and Cloud environment. The main purpose of the Man4CC platform is to support cloud environment and offering additional components that enhance the functionality. The Man4CC platform is open source solution, scalable, interoperable and extensible. Also dealing with a management platform specification approach by capturing the user specifications and translate them into rules that will help to generate the cloud settings.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125182285","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7336985
Adel Binbusayyis, Ning Zhang
With the rapid development of cloud computing, it is attractive for enterprise companies to outsource their data files for sharing in cloud servers, as cloud computing can offer desirable characteristics, such as on-demand self-service, broad network access, and rapid elasticity. However, by uploading data files onto cloud servers, data owners (i.e. the companies) will lose control over their own data. This makes it essential to use Attribute-based encryption (ABE) because it can help to protect the data confidentiality by uploading data files in encrypted form. In addition, it can help to facilitate granting access to data by allowing only authorized users to decrypt the encrypted data files based on a set of attributes. However, this ABE approach includes three key issues. The first one is the complexity of user secret key management for large-scale cloud environments. The second is the complexity of revoking the users access rights. The third is the computational complexity involved in assigning user rights, encrypting and accessing data files. This paper addresses these three issues by proposing a decentralized ciphertext-policy ABE scheme (CP-DABE) for a large-scale cooperative cloud environment. The scheme reduces the complexity of user secret key management by providing a secure attribute delegation services between a master authority and a number of multiple attribute authorities. The scheme also reduces the complexity of revocation process by using Proxy Re-encryption technique to revoke any users access right. In addition, by comparing with most relative work, the scheme reduces the computational requirements for assigning user rights, encrypting and accessing data files. The scheme can support any LSSS access structure. In this paper, the cryptographic construction of the CP-DABE scheme is presented, and its efficiency is analyzed and compared with most relative work. The security of the CP-DABE scheme is discussed and selectively proved against chosen-plaintext attacks under the decisional Bilinear Diffie-Hellman Exponent assumption. Finally, ideas to extend the CP-DABE scheme are discussed.
{"title":"Decentralized attribute-based encryption scheme with scalable revocation for sharing data in public cloud servers","authors":"Adel Binbusayyis, Ning Zhang","doi":"10.1109/CLOUDTECH.2015.7336985","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336985","url":null,"abstract":"With the rapid development of cloud computing, it is attractive for enterprise companies to outsource their data files for sharing in cloud servers, as cloud computing can offer desirable characteristics, such as on-demand self-service, broad network access, and rapid elasticity. However, by uploading data files onto cloud servers, data owners (i.e. the companies) will lose control over their own data. This makes it essential to use Attribute-based encryption (ABE) because it can help to protect the data confidentiality by uploading data files in encrypted form. In addition, it can help to facilitate granting access to data by allowing only authorized users to decrypt the encrypted data files based on a set of attributes. However, this ABE approach includes three key issues. The first one is the complexity of user secret key management for large-scale cloud environments. The second is the complexity of revoking the users access rights. The third is the computational complexity involved in assigning user rights, encrypting and accessing data files. This paper addresses these three issues by proposing a decentralized ciphertext-policy ABE scheme (CP-DABE) for a large-scale cooperative cloud environment. The scheme reduces the complexity of user secret key management by providing a secure attribute delegation services between a master authority and a number of multiple attribute authorities. The scheme also reduces the complexity of revocation process by using Proxy Re-encryption technique to revoke any users access right. In addition, by comparing with most relative work, the scheme reduces the computational requirements for assigning user rights, encrypting and accessing data files. The scheme can support any LSSS access structure. In this paper, the cryptographic construction of the CP-DABE scheme is presented, and its efficiency is analyzed and compared with most relative work. The security of the CP-DABE scheme is discussed and selectively proved against chosen-plaintext attacks under the decisional Bilinear Diffie-Hellman Exponent assumption. Finally, ideas to extend the CP-DABE scheme are discussed.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133718405","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7337008
M. Mostefai, Amina Annane, Lylia Kissoum, M. Ahmed-Nacer
Knowledge Management Systems are a special class of information systems that support the knowledge management processes. One of the most important barriers that could compromise the KMS implementation is the cost related to the acquisition and the maintenance of the required IT infrastructure. This paper presents how cloud computing could be an alternative to traditional on-premise based implementation project and discusses a case study where a KMS has been implemented in a high school context using a cloud-based environment.
{"title":"Implementing knowledge management systems in cloud-based environments: A case study in a computer science high school","authors":"M. Mostefai, Amina Annane, Lylia Kissoum, M. Ahmed-Nacer","doi":"10.1109/CLOUDTECH.2015.7337008","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337008","url":null,"abstract":"Knowledge Management Systems are a special class of information systems that support the knowledge management processes. One of the most important barriers that could compromise the KMS implementation is the cost related to the acquisition and the maintenance of the required IT infrastructure. This paper presents how cloud computing could be an alternative to traditional on-premise based implementation project and discusses a case study where a KMS has been implemented in a high school context using a cloud-based environment.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129653154","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7337005
J. Kohler, Thomas Specht
The following work focuses on the severe performance issues that come along with the vertical data distribution approach of the SeDiCo framework. SeDiCo (A Secure and Distributed Cloud Data Store) is a framework that vertically distributes database data across several clouds in order to maintain data security, protection and privacy. However, this vertical data distribution requires joining data together before any client access. This join is extremely time-consuming and thus, this approach is currently not feasible in practical usage scenarios. In order to overcome those performance issues, this work proposes the introduction of a data cache architecture and two corresponding fetch procedures, i.e. lazy and parallel fetching. We further implemented both strategies, measured their performance and compared them to each other. Our results show that the parallel fetch strategy by far outperforms the lazy fetch strategy. Above that, this work outlines the entire caching architecture of our approach and discusses the two strategies in detail. Finally, this work concludes the measured results and discusses further challenges in the context of the SeDiCo framework as future work tasks.
{"title":"A performance comparison between parallel and lazy fetching in vertically distributed cloud databases","authors":"J. Kohler, Thomas Specht","doi":"10.1109/CLOUDTECH.2015.7337005","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337005","url":null,"abstract":"The following work focuses on the severe performance issues that come along with the vertical data distribution approach of the SeDiCo framework. SeDiCo (A Secure and Distributed Cloud Data Store) is a framework that vertically distributes database data across several clouds in order to maintain data security, protection and privacy. However, this vertical data distribution requires joining data together before any client access. This join is extremely time-consuming and thus, this approach is currently not feasible in practical usage scenarios. In order to overcome those performance issues, this work proposes the introduction of a data cache architecture and two corresponding fetch procedures, i.e. lazy and parallel fetching. We further implemented both strategies, measured their performance and compared them to each other. Our results show that the parallel fetch strategy by far outperforms the lazy fetch strategy. Above that, this work outlines the entire caching architecture of our approach and discusses the two strategies in detail. Finally, this work concludes the measured results and discusses further challenges in the context of the SeDiCo framework as future work tasks.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755948","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 : 2015-06-02DOI: 10.1109/CLOUDTECH.2015.7336976
Khadija Aouzal, H. Hafiddi, Mohamed Dahchour
The Cloud Computing paradigm has enabled the multi-tenancy architectural approach in Cloud applications. In a multi-tenant application, one single instance is shared by many tenants (users). Since each client has its own and particular requirements and context, that are exposed to change in time, the process of realizing customizable and adaptable services becomes complex and difficult to handle. Handling variability has been subject of many research works in the domain of Service Oriented Computing, while less interest was given to variability in Cloud services. Therefore, managing variability in Cloud applications can take benefit from related works in service-oriented computing. In this paper, we present an overview of variability management in Cloud applications, in order to assess the pertinence of the different approaches proposed to tackle this issue.
{"title":"An overview of variability management in cloud services","authors":"Khadija Aouzal, H. Hafiddi, Mohamed Dahchour","doi":"10.1109/CLOUDTECH.2015.7336976","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336976","url":null,"abstract":"The Cloud Computing paradigm has enabled the multi-tenancy architectural approach in Cloud applications. In a multi-tenant application, one single instance is shared by many tenants (users). Since each client has its own and particular requirements and context, that are exposed to change in time, the process of realizing customizable and adaptable services becomes complex and difficult to handle. Handling variability has been subject of many research works in the domain of Service Oriented Computing, while less interest was given to variability in Cloud services. Therefore, managing variability in Cloud applications can take benefit from related works in service-oriented computing. In this paper, we present an overview of variability management in Cloud applications, in order to assess the pertinence of the different approaches proposed to tackle this issue.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148817","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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