Peer Enterprises: Possibilities, Challenges and Some Ideas Towards Their Realization

Gupta, Ankur; Awasthi, Lalit Kumar

doi:10.1007/978-3-540-76890-6_27

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…We then passed the output of this dense layer into another dense layer with 64 units and used a dropout layer with the dropout rate as 0.15. Finally, the output of this dense layer was passed to a final dense layer with units as 1 and activation as sigmoid to get output as 0 or 1, which indicated the prediction of our model [23]. We then compiled our model using Adam as the optimizer and binary cross entropy as loss.…”

Section: Training Modelmentioning

confidence: 99%

A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs

Sharma

Umer

Bhagat

et al. 2022

Mathematical Problems in Engineering

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The recommended tool for assessing knee injury is magnetic resonance imaging (MRI). However, knee MRI interpretation takes time and is vulnerable to clinical errors and inconsistency. A deep learning automated technique for reading knee MRI might help physicians identify high-risk patients and make diagnosis easier. In this study, we have proposed a deep learning-based model to detect ACL and meniscus tears and other knee abnormalities. At its core, this model is based on the ResNet50 transfer learning technique. In this paper, we have focused to present a ResNet50-based model for detecting different knee problems using MRIs. The best models for every option achieved the objectives that were probably similar. The models were developed using 18, 3, and 1 slice. These models’ outcomes were rather startling. The AUC findings obtained with 1 slice per MRI exam were equivalent to those obtained with 18 and 3 slices and, in some cases, were significantly better. The dataset used in this model is from Stanford University. We trained this model in three different settings of MRI slices (18, 3, and 1). The best results that our models were able to achieve were when trained using 3 slices of each MRI sample. The area under the receiver operating characteristic curve, or AUC curve, values that our best models were able to achieve for detecting ACL, meniscus, and other knee abnormalities are 0.87, 0.82, and 0.90, respectively. The results of our models are comparable to some state-of-the-art models. These models are very fast and efficient to train and hence will be helpful to doctors for making an effective and fast diagnosis based on knee MRIs.

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Section: Training Modelmentioning

confidence: 99%

A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs

Sharma

Umer

Bhagat

et al. 2022

Mathematical Problems in Engineering

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“…Figures 2 and 3 provide the security policies on Secure Linux for a remote user and remote application, respectively. The syntax and semantics of security policies for SE Linux are available in Gupta & Awasthi, 2007. It is assumed that the relevant P2P middleware shall place the remote application in the remote_user's home directory and assign the ownership of the remote application to "remote_user."…”

Section: Se Linux Security Policymentioning

confidence: 99%

“…The model uses the fine-grained privileges and rule-based access control mechanisms provided by Secure Linux (Linux SE, http://www.nsa.gov/selinux/info/docs.cfm) and a custom-built remote application monitor (RAM) to create a secure computing environment for cyclestealing P2P applications, without having to pay the overheads of managing trust and reputation values. This work is part of a bigger effort to enable secure P2P interactions across organizations and some of the issues addressed are due to specific requirements of the architecture proposed in (Gupta & Awasthi, 2007) by the authors.…”

Section: Introductionmentioning

confidence: 99%

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A Containment-Based Security Model for Cycle-Stealing P2P Applications

Gupta

Awasthi

2010

Information Security Journal: A Global Perspective

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P2P networks and the computations they enable hold great potential in creating the next generation of large-scale distributed applications. However, the P2P phenomenon has largely left untouched large organizations and businesses that have stringent security requirements and are uncomfortable with the anonymity and lack of centralized control/censorship which are the features of P2P systems. Hence, there is an urgent need to address the security concerns in deploying P2P systems which can leverage the underutilized compute resources in organizations across the world. This article proposes a containment-based security model (CBSM) for cycle-stealing P2P applications, based on the Secure Linux (SE Linux) Operating System, which alleviates existing security concerns, allowing peers to host untrusted or even hostile applications. Our approach is suitable for pure P2P applications and requires no message exchanges or trust computations in ensuring security. Testing via deployment of potentially malicious remote code proves the effectiveness of the proposed system.

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“…Peer Enterprises (PE) [9], is a multi-level peer-to-peer network which facilitates cross-organizational interactions allowing compute resources, content and expert human knowledge to be shared and utilized seamlessly. This research paper showcases the PE concept and positions it as a lowercost and lower-energy alternative to cloud computing, which can possibly cater to similar computing requirements as cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Peer enterprises: A viable alternative to Cloud computing?

Gupta

Awasthi

2009

2009 IEEE International Conference on Internet Multimedia Services Architecture and Applications (IMSAA)

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Cloud computing has emerged as an exciting new computing paradigm offering organizations and businesses the flexibility of scaling their compute resource usage, without having to worry about under or over-provisioning. It also enables services to be deployed and utilized in a seamless manner facilitating new developments in the pay-per-use domain by incorporating elements of utility computing and software-as-aservice. While organizations, researchers and application developers vigorously espouse the virtues of the "Cloud" amidst much fanfare, there is an urgent need to examine the environmental impact of the Cloud. As large organizations race to create their million-server warehouses and necessary compute infrastructure to become to early dominators in the cloud market, their high energy consumption and overall environmental impact cannot be neglected. This research paper presents the concept of Peer Enterprises -organizations which share their under-utilized resources by participating in a mammoth Peer-to-Peer network, potentially offering the same computing power as the Cloud, but without requiring additional investment or adversely impacting the environment. We present the case that if the already provisioned yet under-utilized compute resources across the world can be leveraged, a computing infrastructure comparable to the envisaged Cloud can be created, minus the negative impact on the environment.

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Peer Enterprises: Possibilities, Challenges and Some Ideas Towards Their Realization

Cited by 15 publications

References 9 publications

A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs

A ResNet50-Based Approach to Detect Multiple Types of Knee Tears Using MRIs

A Containment-Based Security Model for Cycle-Stealing P2P Applications

Peer enterprises: A viable alternative to Cloud computing?

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