The Experts below are selected from a list of 43653 Experts worldwide ranked by ideXlab platform
Patrick Martin - One of the best experts on this subject based on the ideXlab platform.
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daas cloud based mobile web Service Discovery
Pervasive and Mobile Computing, 2014Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:The proliferation of smartphones and the recent advancement in ubiquitous wireless access have made mobile Web Services more possible than ever before. However, finding relevant Web Services that can match requests and fit user context remains a major concern. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices and the inherit complexity of wireless heterogeneous networks. Cloud computing, with its flexible design and theoretically unlimited computing resources, is a viable approach to bootstrapping Web Service Discovery. The cloud can build bridges between mobile devices, as a convenient ubiquitous interface, and a backbone infrastructure with abundant computing resources. This paper introduces ''Discovery as a Service (Daas)'', a novel cloud-based Discovery framework that addresses the core components of mobile Web Service Discovery. The DaaS framework lays the foundation of efficient mobile Web Service Discovery that takes into consideration user preferences and context. The experimental validation and performance evaluation demonstrate that DaaS can effectively rank relevant Services according to the various user context and preferences, in addition to enhancing the precision of the discovered Services. The prototype also shows that Web Service clustering for Discovery significantly improves the overall response time, while the cloud maintains scalability according to prespecified performance criteria.
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effective web Service Discovery in mobile environments
Local Computer Networks, 2011Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:Recent advancements in the design of mobile devices and wireless technologies have produced a successful coupling of mobile devices and Web Services, where mobile devices can be a Service provider or a consumer. However, finding relevant Web Services that match requests remain a major hindrance to its booming. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices, and the inherit complexity of wireless heterogeneous networks. While significant research has focused on Service Discovery protocols in isolation, they mostly lack a holistic capacity to address the different limitations collectively. We introduce a novel Discovery framework that addresses all aspects of mobile Web Service Discovery, yet does not jeopardize the efficiency requirement for this Discovery; especially as an application run in resource-constrained environments.
Khalid Elgazzar - One of the best experts on this subject based on the ideXlab platform.
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daas cloud based mobile web Service Discovery
Pervasive and Mobile Computing, 2014Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:The proliferation of smartphones and the recent advancement in ubiquitous wireless access have made mobile Web Services more possible than ever before. However, finding relevant Web Services that can match requests and fit user context remains a major concern. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices and the inherit complexity of wireless heterogeneous networks. Cloud computing, with its flexible design and theoretically unlimited computing resources, is a viable approach to bootstrapping Web Service Discovery. The cloud can build bridges between mobile devices, as a convenient ubiquitous interface, and a backbone infrastructure with abundant computing resources. This paper introduces ''Discovery as a Service (Daas)'', a novel cloud-based Discovery framework that addresses the core components of mobile Web Service Discovery. The DaaS framework lays the foundation of efficient mobile Web Service Discovery that takes into consideration user preferences and context. The experimental validation and performance evaluation demonstrate that DaaS can effectively rank relevant Services according to the various user context and preferences, in addition to enhancing the precision of the discovered Services. The prototype also shows that Web Service clustering for Discovery significantly improves the overall response time, while the cloud maintains scalability according to prespecified performance criteria.
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effective web Service Discovery in mobile environments
Local Computer Networks, 2011Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:Recent advancements in the design of mobile devices and wireless technologies have produced a successful coupling of mobile devices and Web Services, where mobile devices can be a Service provider or a consumer. However, finding relevant Web Services that match requests remain a major hindrance to its booming. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices, and the inherit complexity of wireless heterogeneous networks. While significant research has focused on Service Discovery protocols in isolation, they mostly lack a holistic capacity to address the different limitations collectively. We introduce a novel Discovery framework that addresses all aspects of mobile Web Service Discovery, yet does not jeopardize the efficiency requirement for this Discovery; especially as an application run in resource-constrained environments.
Hossam S Hassanein - One of the best experts on this subject based on the ideXlab platform.
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daas cloud based mobile web Service Discovery
Pervasive and Mobile Computing, 2014Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:The proliferation of smartphones and the recent advancement in ubiquitous wireless access have made mobile Web Services more possible than ever before. However, finding relevant Web Services that can match requests and fit user context remains a major concern. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices and the inherit complexity of wireless heterogeneous networks. Cloud computing, with its flexible design and theoretically unlimited computing resources, is a viable approach to bootstrapping Web Service Discovery. The cloud can build bridges between mobile devices, as a convenient ubiquitous interface, and a backbone infrastructure with abundant computing resources. This paper introduces ''Discovery as a Service (Daas)'', a novel cloud-based Discovery framework that addresses the core components of mobile Web Service Discovery. The DaaS framework lays the foundation of efficient mobile Web Service Discovery that takes into consideration user preferences and context. The experimental validation and performance evaluation demonstrate that DaaS can effectively rank relevant Services according to the various user context and preferences, in addition to enhancing the precision of the discovered Services. The prototype also shows that Web Service clustering for Discovery significantly improves the overall response time, while the cloud maintains scalability according to prespecified performance criteria.
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effective web Service Discovery in mobile environments
Local Computer Networks, 2011Co-Authors: Khalid Elgazzar, Hossam S Hassanein, Patrick MartinAbstract:Recent advancements in the design of mobile devices and wireless technologies have produced a successful coupling of mobile devices and Web Services, where mobile devices can be a Service provider or a consumer. However, finding relevant Web Services that match requests remain a major hindrance to its booming. The challenges facing Web Service Discovery are further magnified by the stringent constraints of mobile devices, and the inherit complexity of wireless heterogeneous networks. While significant research has focused on Service Discovery protocols in isolation, they mostly lack a holistic capacity to address the different limitations collectively. We introduce a novel Discovery framework that addresses all aspects of mobile Web Service Discovery, yet does not jeopardize the efficiency requirement for this Discovery; especially as an application run in resource-constrained environments.
Ling Wang - One of the best experts on this subject based on the ideXlab platform.
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fnmgsdp an optimized group based Service Discovery protocol for manets
Wireless Personal Communications, 2011Co-Authors: Ling Wang, Mei Yang, Jianping WangAbstract:The ability to discover Services offered in MANETs (Mobile Ad-Hoc Networks) is a major prerequisite for effective usability of MANETs. GSD (Group-based Service Discovery) protocol is a typical Service Discovery protocol for MANETs. However, its packet overhead is high due to its much redundant packet transmissions. Some previous works improve GSD at the expense of slightly larger cache size and packet size. However, the added information can be used to improve protocol performance further. In this paper, FNMGSDP (Forward Node Minimization enhanced Group-based Service Discovery Protocol) is proposed to minimize the number of next hop nodes when forwarding request packets by exhaustively utilize the information in Service Information Cache. Simulation results confirm the superiority of FNMGSDP over GSD and its two enhanced versions.
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a meta Service description assisted Service Discovery protocol for manets
Ubiquitous Intelligence and Computing, 2007Co-Authors: Ling Wang, Mei Yang, Jianping WangAbstract:The ability to discover Services offered in Mobile Ad-Hoc Networks (MANETs) is the major prerequisite for effectively utilizing these Services. Caching Service advertisements is an essential component in Service Discovery protocols for MANETs. To fully utilize the advantage of the cached Service advertisements, the cached Service description can be advertised with the local Service description in a vicinity, which however will increase packet size. To reduce packet size, a better solution is to representing the cached Service advertisements with a meta Service description. In this paper, we introduce a fine-grained group-based meta Service description scheme and propose an efficient Service Discovery protocol: Meta Service Description Assisted Service Discovery Protocol (MSDASDP) for MANETs, where the number of forwarding nodes of request packets is minimized with the help of the fine-grained meta Service description. Simulation results both show that MSDASDP is an effective, efficient, and prompt Service Discovery protocol for MANETs
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cnpgsdp an efficient group based Service Discovery protocol for manets
Computer Networks, 2006Co-Authors: Ling Wang, Mei Yang, Xiaozong YangAbstract:The ability to discover Services is the major prerequisite for effective usability of MANETs. Group-based Service Discovery (GSD) protocol is a typical Service Discovery protocol for MANETs. However, because of large redundant packet transmissions, its packet overhead is high. In this paper, in light of GSD, we propose a new Service Discovery protocol for Mobile Ad-Hoc Networks (MANETs): Candidate Node Pruning enhanced Group-based Service Discovery Protocol (CNPGSDP). In CNPGSDP, two schemes are introduced to enhance GSD: Broadcast Simulated Unicast (BSU) and Candidate Node Pruning (CNP). In BSU, several unicast request packets are replaced with one request packet transmitted in broadcast mode with all unicast receivers enclosed. CNP further reduces the number of request packets by reducing the number of candidate nodes. Mathematical analysis and simulation tests both show that CNPGSDP is a very effective, efficient, and prompt Service Discovery protocol for MANETs.
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pcpgsd an enhanced gsd Service Discovery protocol for manets
Computer Communications, 2006Co-Authors: Ling Wang, Xiaozong YangAbstract:Group based Service Discover protocol (GSD) Service Discovery protocol is a well-known Service Discovery protocol for MANETs. However, because of some obviously redundant transmissions, its packet overhead is very high. Hence, in this paper, three mechanisms are introduced to reduce its the packet overhead. The three mechanisms are PFCN (Pruning of Far Candidate Nodes), CRN (Combining of Relay Nodes), and PRN (Piggybacking of Relay Nodes). Hence, the enhanced protocol is called PCPGSD (PFCN, CRN, and PRN enhanced GSD). Mathematical analysis and simulation tests both show that PFCN, CRN, and PRN can reduce packet overhead greatly. Simulation results show that PCPGSD outperforms some other typical Service Discovery protocols up to several times.
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fnscsdp a forward node selection based cross layer Service Discovery protocol for manets
Lecture Notes in Computer Science, 2006Co-Authors: Yongtian Yang, Ling Wang, Xiang LiAbstract:Service Discovery is expected to be a crucial feature for the usability of MANETs(mobile ad-hoc networks). However, Service Discovery protocols existing nowadays are generally separated from backbone construction schemes usually performing in network layer in MANETs. Recognizing this problem, we propose a FNSCSDP(Forward Node Selection based Cross-layer Service Discovery Protocol) for MANETs, which makes use of periodically hello packets used in backbone construction schemes to facilitate Service Discovery tasks. When forwarding Service request packets, FNSCSDP deliberately selects some nodes that should forward the Service request packet. Those nodes are selected basing on local topology information gathered from hello packets and history information piggybacking in Service request packets. Hence, all nodes that are at most 2-hop away from the current node will be able to receive the Service request packet. Simulations show that FNSCSDP outperforms a well-known Service Discovery protocol GSD in packet overhead and promptness.
Celeste Campo - One of the best experts on this subject based on the ideXlab platform.
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cross layer Service Discovery mechanism for olsrv2 mobile ad hoc networks
Sensors, 2015Co-Authors: Ma Isabel Vara, Celeste CampoAbstract:Service Discovery plays an important role in mobile ad hoc networks (MANETs). The lack of central infrastructure, limited resources and high mobility make Service Discovery a challenging issue for this kind of network. This article proposes a new Service Discovery mechanism for discovering and advertising Services integrated into the Optimized Link State Routing Protocol Version 2 (OLSRv2). In previous studies, we demonstrated the validity of a similar Service Discovery mechanism integrated into the previous version of OLSR (OLSRv1). In order to advertise Services, we have added a new type-length-value structure (TLV) to the OLSRv2 protocol, called Service Discovery message (SDM), according to the Generalized MANET Packet/Message Format defined in Request For Comments (RFC) 5444. Each node in the ad hoc network only advertises its own Services. The advertisement frequency is a user-configurable parameter, so that it can be modified depending on the user requirements. Each node maintains two Service tables, one to store information about its own Services and another one to store information about the Services it discovers in the network. We present simulation results, that compare our Service Discovery integrated into OLSRv2 with the one defined for OLSRv1 and with the integration of Service Discovery in Ad hoc On-demand Distance Vector (AODV) protocol, in terms of Service Discovery ratio, Service latency and network overhead.
