A server allocation and placement algorithm for content distribution

In this essay, written for the 30th Anniversary of Cardozo’s Arts and Entertainment Law Journal, I revisit the ruinous litigation strategy copyright owners pursued after Napster to secure control of the market for personal uses of copyrighted works, which I wrote about ten years ago in War Stories, 20 Cardozo Arts & Ent. L.J. 337 (2002). The litigation campaign had effects that copyright owners now have reason to regret. Medical experts tell us that powerful antibiotics are highly effective in killing off both good and bad bacteria, but at a significant risk. Bugs that survive the treatment grow bigger, stronger, and resistant to antibiotics. They become much more dangerous because they are harder to kill. Copyright owners’ indiscriminate litigation against new entrants into the entertainment and information marketplace killed off a broad swath of potential competitors and partners. The ones who were left faced a less crowded field because old media had helpfully cleared it for them. The scorched-earth litigation strategy temporarily cleared the field, and made room both for tepid, content-industry-controlled efforts to distribute music, books, and video online, and for new entrants with the stamina and resources to survive copyright infringement suits. Apple, Amazon, and Google took advantage of that environment to grow into dominant distributors who are obligatory partners for any serious online content distribution plan, and who insist on calling the shots on price, format, and other matters that content owners believe should rightfully be under their own control.

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Yallcast: A New Paradigm for Content Distribution

10.21236/ada415565 ◽

2003 ◽

Author(s):

Robert Lindell

Keyword(s):

Content Distribution ◽

New Paradigm

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Bilateral and Multilateral Exchanges for Peer-Assisted Content Distribution

SSRN Electronic Journal ◽

10.2139/ssrn.1596919 ◽

2010 ◽

Author(s):

Christina Aperjis ◽

Ramesh Johari ◽

Michael J. Freedman

Keyword(s):

Content Distribution

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Optimal Sensor Placement Algorithm for Structural Damage Identification

Recent Patents on Engineering ◽

10.2174/1872212113666190110124551 ◽

2020 ◽

Vol 14 (1) ◽

pp. 69-81

Author(s):

C.H. Li ◽

Q.W. Yang

Keyword(s):

Structural Damage ◽

Damage Identification ◽

Sensor Placement ◽

Optimization Procedure ◽

Frame Structure ◽

Truss Structures ◽

Optimal Sensor Placement ◽

Structural Damage Identification ◽

Placement Algorithm ◽

Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

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