2 P2P or Not 2 P2P?

In the hope of stimulating discussion, we present a heuristic decision tree that designers can use to judge the likely suitability of a P2P architecture for their applications. It is based on the characteristics of a wide range of P2P systems from the literature, both proposed and deployed.Comment: 6 pages, 1 figur

Routing-Verification-as-a-Service (RVaaS): Trustworthy Routing Despite Insecure Providers

Computer networks today typically do not provide any mechanisms to the users to learn, in a reliable manner, which paths have (and have not) been taken by their packets. Rather, it seems inevitable that as soon as a packet leaves the network card, the user is forced to trust the network provider to forward the packets as expected or agreed upon. This can be undesirable, especially in the light of today's trend toward more programmable networks: after a successful cyber attack on the network management system or Software-Defined Network (SDN) control plane, an adversary in principle has complete control over the network. This paper presents a low-cost and efficient solution to detect misbehaviors and ensure trustworthy routing over untrusted or insecure providers, in particular providers whose management system or control plane has been compromised (e.g., using a cyber attack). We propose Routing-Verification-as-a-Service (RVaaS): RVaaS offers clients a flexible interface to query information relevant to their traffic, while respecting the autonomy of the network provider. RVaaS leverages key features of OpenFlow-based SDNs to combine (passive and active) configuration monitoring, logical data plane verification and actual in-band tests, in a novel manner

A Peer-To-Peer Data Processing Infrastructure That Operates On The Largest Scale

In the corporate network, information may be exchanged throughout different businesses, making it simpler for those with common interests to collaborate. With its help, firms may be able to reduce overhead costs and increase revenue. As data is exchanged and processed across firms, it increases the complexity of implementing a scalable, high-performing, and secure data management system. This article presents BP++, an expansion of the BestPeer P2P data management platform that offers elastic data sharing services for cloud-based business network applications. BP++ integrates cloud computing, databases, and P2P technologies to provide its members with data sharing services under the well-known pay-as-you-go pricing model. For our BP++ tests, we make use of Amazon's EC2 cloud infrastructure. Benchmarks show that BP++ outperforms the recently proposed HadoopDB large-scale data processing solution when both systems are employed to handle typical business network demands. The results demonstrate that BP++ is quite efficient, with throughput scaling practically linearly with the number of peer nodes

Provenance-Aware Sensor Data Storage

Sensor network data has both historical and realtime value. Making historical sensor data useful, in particular, requires storage, naming, and indexing. Sensor data presents new challenges in these areas. Such data is location-specific but also distributed; it is collected in a particular physical location and may be most useful there, but it has additional value when combined with other sensor data collections in a larger distributed system. Thus, arranging location-sensitive peer-to-peer storage is one challenge. Sensor data sets do not have obvious names, so naming them in a globally useful fashion is another challenge. The last challenge arises from the need to index these sensor data sets to make them searchable. The key to sensor data identity is provenance, the full history or lineage of the data. We show how provenance addresses the naming and indexing issues and then present a research agenda for constructing distributed, indexed repositories of sensor data.Engineering and Applied Science

Towards Secure Cloud Data Management

This paper explores the security challenges posed by data-intensive applications deployed in cloud environments that span administrative and network domains. We propose a data-centric view of cloud security and discuss data management challenges in the areas of secure distributed data processing, end-to-end query result verification, and cross-user trust policy management. In addition, we describe our current and future efforts to investigate security challenges in cloud data management using the Declarative Secure Distributed Systems (DS2) platform, a declarative infrastructure for specifying, analyzing, and deploying secure information systems

Keyword Join: Realizing Keyword Search for Information Integration

Information integration has been widely addressed over the last several decades. However, it is far from solved due to the complexity of resolving schema and data heterogeneities. In this paper, we propose out attempt to alleviate such difficulty by realizing keyword search functionality for integrating information from heterogeneous databases. Our solution does not require predefined global schema or any mappings between databases. Rather, it relies on an operator called keyword join to take a set of lists of partial answers from different data sources as input, and output a list of results that are joined by the tuples from input lists based on predefined similarity measures as integrated results. Our system allows source databases remain autonomous and the system to be dynamic and extensible. We have tested our system with real dataset and benchmark, which shows that our proposed method is practical and effective.Singapore-MIT Alliance (SMA

A Novel Approach For Large-Scale D ata Processing Platform On Peer- To- Peer Based Bestpeer++

We introduce BestPeer++, a framework which conveys versatile information sharing administrations for corporate system applications in the cloud taking into account BestPeer—a distributed (P2P) based information administration stage. By incorporating distributed computing, database, and P2P innovations into one framework, BestPeer++provides a sparing, adaptable and versatile stage for corporate system applications and conveys information sharing administrations to members taking into account the broadly acknowledged pay-as-you-go plan of action. We assess BestPeer++ on Amazon EC2 Cloud stage. The benchmarking results demonstrate that BestPeer++ beats HadoopDB, an as of late proposed substantial scale information preparing framework, in execution when both frameworks are utilized to handle normal corporate system workloads