The Best Motorcycle Service Manual Shootout Over the years, I have used factory manuals and Haynes and Clymer manuals for disconnecting service bits feature personal vehicles — trucks, cars and motorcycles. It did not take me long to realize that the relatively inexpensive aftermarket manuals were a better choice for me, a shade-tree mechanic, than the pricey factory manuals written for professional technicians with all the special tools and training.
Unfortunately, when I bought my latest ride, a new 1998 Yamaha V-Max, there was only the factory manual available. It baffled me that Haynes and Clymer had not made a manual for one of the most popular and longest running models, then 13 years old. 60 for the official Yamaha Service Manual, a fine tome indeed. Well finally in 2003, first Haynes and then Clymer published manuals for the 1985-2003 V-Max. I wanted one, but was not sure which to buy.
Then I decided to buy both of them and do this service manual shootout, super-comparo, just for you, my faithful readers. Here is how it turned out. Haynes makes up for the missing pages by using a 3-column layout compared to the 2 columns and larger print of Clymer. The Clymer is easier to read, but in spite of the slim volume, there seems to be more content in the Haynes.
First off, Haynes provided a section with an unabashedly glowing history of the Yamaha Motor company and an account of the V-Max model development with color pictures. I like it when I can read good things about my old motorcycle. It sells it to me all over again and helps motivate me to keep her running. Haynes also offered an exhaustive pre-ride checklist, again with color pictures. A Tools and Workshop section which also has color pictures is included at the end of the Haynes book. Both manuals had a table of contents, an index, color wiring diagrams and thumb tabs. Haynes also had a table of contents for the chapters at the beginning of each chapter, a feature I like, but their thumb tabs had no list from which to thumb, largely defeating their purpose.
Clymer did have a thumb tab listing aligned with their respective tabs. The Devil is in the Details Looking at the section on carb synchronization for example, Haynes had eight photographs compared to Clymer’s two. And somehow, Haynes is able to make their pictures clearer and more sharply detailed, no small feat I can assure you from experience. But let’s give them another try. With respect to the front forks and handlebar assemblies, Haynes had 68 photographs and drawings compared to Clymer’s 52. On the other hand, Haynes had absolutely nothing about the rear fender and grab rail assembly whereas Clymer had a good illustration and explanation.
When it came to removing the fuel tank, which is almost never necessary, there was a huge difference in the two manuals. They both agree on removing the rider seat, disconnecting the negative terminal and removing the rear wheel and mud guard but after that, their approach is quite different. Clymer says remove the left side passenger foot rest bracket and left side down tube, an easy job. Haynes says remove the exhaust silencers, the left shock absorber and the swing arm! This is a huge amount of work. Otherwise, they are about the same on all the hoses, tank bolts, wiring and stuff.
By the way, the Yamaha factory manual does not cover removal of the fuel tank at all. Other complaints were that Haynes showed a photograph of the right hand mirror but failed to mention that the fastener was a left hand thread, identifiable by a groove or notches on the points. Actually, they require the less common 18 mm socket. You can find one at a Sears hardware store. The other differences lie mainly with the fact that Haynes is based in Great Britain. Their writing style is so, there is no other way to put it, British. Talking about brake fluid, “Wrap a rag around the reservoir being worked on to ensure that any spillage does not come into contact with painted surfaces.
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Using a suitable funnel that is spotlessly clean, top up with new clean DOT4 hydraulic fluid until the level is above the LOWER line. You may find this preachy, off-putting, over-kill, but personally I need it. Other disconcerting bits involve the spelling of the King’s English — tyres, centrestand and so forth. Haynes has a section, with color pictures, dealing with preparing for the annual MOT inspection required in the U.
This would be of no interest except that it serves as a useful checklist for looking at a used motorcycle here in this country. One point volunteered in the Haynes manual, however, really caught my attention. Contrary to popular opinion, they stated not to use 20W50 oil because it might make the clutch slip. This seemed counter-intuitive to me but I did a little research and found that higher viscosity oil makes it difficult for a wet-clutch to squeeze the oil out from between the plates and that the clutch may indeed slip. As a member of the V-Max Owners Association, I do appreciate the credit given to the VMOA in the Clymer manual. They did consult with a number of our members during the preparation of their manual and it is printed in the good old U. But like the old saying goes, “You pays your money and you takes your chances.
When I work on my ride, I find myself referring to all three. Enter the characters you see below Sorry, we just need to make sure you’re not a robot. Enter the characters you see below Sorry, we just need to make sure you’re not a robot. This is a simple high level view of a data grid depicting distributed storage. A data grid is an architecture or set of services that gives individuals or groups of users the ability to access, modify and transfer extremely large amounts of geographically distributed data for research purposes. Middleware provides all the services and applications necessary for efficient management of datasets and files within the data grid while providing users quick access to the datasets and files. There is a number of concepts and tools that must be available to make a data grid operationally viable.
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Another middleware service is that of providing for data transport or data transfer. Data transport will encompass multiple functions that are not just limited to the transfer of bits, to include such items as fault tolerance and data access. Fault tolerance can be achieved in a data grid by providing mechanisms that ensures data transfer will resume after each interruption until all requested data is received. The data transport service also provides for the low-level access and connections between hosts for file transfer.
Data access services work hand in hand with the data transfer service to provide security, access controls and management of any data transfers within the data grid. Security services provide mechanisms for authentication of users to ensure they are properly identified. To meet the needs for scalability, fast access and user collaboration, most data grids support replication of datasets to points within the distributed storage architecture. The use of replicas allows multiple users faster access to datasets and the preservation of bandwidth since replicas can often be placed strategically close to or within sites where users need them. There are a number of ways the replication management system can handle the updates of replicas.
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The updates may be designed around a centralized model where a single master replica updates all others, or a decentralized model, where all peers update each other. The topology of node placement may also influence the updates of replicas. There are a number of ways the replication management system can handle the creation and placement of replicas to best serve the user community. If the storage architecture supports replica placement with sufficient site storage, then it becomes a matter of the needs of the users who access the datasets and a strategy for placement of replicas.
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Dynamic replication is an approach to placement of replicas based on popularity of the data. The method has been designed around a hierarchical replication model. The data management system keeps track of available storage on all nodes. This method of replication like the one for dynamic replication has been designed around a hierarchical replication model found in most data grids. It works on a similar algorithm to dynamic replication with file access requests being a prime factor in determining which files should be replicated.
A key difference, however, is the number and frequency of replica creations is keyed to a dynamic threshold that is computed based on request arrival rates from clients over a period of time. Like the adaptive and dynamic replication methods before, fair-share replication is based on a hierarchical replication model. Also, like the two before, the popularity of files play a key role in determining which files will be replicated. The above three replica strategies are but three of many possible replication strategies that may be used to place replicas within the data grid where they will improve performance and access. Below are some others that have been proposed and tested along with the previously described replication strategies. Is used in a hierarchical node structure where requests per file received during a preset time interval is compared against a threshold.
If the threshold is exceeded a replica is created at the first tier down from the root, if the threshold is exceeded again a replica is added to the next tier down and so on like a waterfall effect until a replica is placed at the client itself. If the client requests a file it is stored as a copy on the client. Combines two strategies of caching and cascading. Also used in a hierarchical node structure this strategy automatically populates all nodes in the path of the client that requests a file. Such characteristics of the data grid systems as large scale and heterogeneity require specific methods of tasks scheduling and resource allocation. To resolve the problem, majority of systems use extended classic methods of scheduling. Others invite fundamentally different methods based on incentives for autonomous nodes, like virtual money or reputation of a node.
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The resource management system represents the core functionality of the data grid. It is the heart of the system that manages all actions related to storage resources. In some data grids it may be necessary to create a federated RMS architecture because of different administrative policies and a diversity of possibilities found within the data grid in place of using a single RMS. Manage trusts concerning resources in administrative domains, some domains may place additional restrictions on how they participate requiring adaptation of the RMS or federation. Supports adaptability, extensibility, and scalability in relation to the data grid. Data grids have been designed with multiple topologies in mind to meet the needs of the scientific community. On the right are four diagrams of various topologies that have been used in data grids.
Each topology has a specific purpose in mind for where it will be best utilized. Each of these topologies is further explained below. Federation topology is the choice for institutions that wish to share data from already existing systems. It allows each institution control over their data. When an institution with proper authorization requests data from another institution it is up to the institution receiving the request to determine if the data will go to the requesting institution. The federation can be loosely integrated between institutions, tightly integrated or a combination of both.
Monadic topology has a central repository that all collected data is fed into. The central repository then responds to all queries for data. There are no replicas in this topology as compared to others. Data is only accessed from the central repository which could be by way of a web portal. Hierarchical topology lends itself to collaboration where there is a single source for the data and it needs to be distributed to multiple locations around the world. One such project that will benefit from this topology would be CERN that runs the Large Hadron Collider that generates enormous amounts of data.
Hybrid Topology is simply a configuration that contains an architecture consisting of any combination of the previous mentioned topologies. It is used mostly in situations where researchers working on projects want to share their results to further research by making it readily available for collaboration. The need for data grids was first recognized by the scientific community concerning climate modeling, where terabyte and petabyte sized data sets were becoming the norm for transport between sites. Proponents of this theory arrived at several criteria. One, users should be able to search and discover applicable resources within the data grid from amongst its many datasets.
The data grid is an evolving technology that continues to change and grow to meet the needs of an expanding community. 1997 at the University of Chicago. A taxonomy of data grids for distributed data sharing – management and processing p. Adaptive replica placement in hierarchical data grids. A survey of data middleware for Grid systems p. Reference model for a data grid approach to address data in a dynamic SDI p. High-performance remote access to climate simulation data: A challenge problem for data grid technologies.
Fast parallel file replication in data grid p. Grid based approach for data confidentiality. Protected data objects replication in data grid p. Data grids and data grid performance issues. Data Grid tools: enabling science on big distributed data”. High-performance remote access to climate simulation data: A challenge problem for data grid technologies”. Management and placement of replicas in a hierarchical data grid”.
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Journal of Network and Computer Applications. Resource Scheduling Methods for Query Optimization in Data Grid Systems”. Advances in Databases and Information Systems. Archived from the original on May 4, 2012. Protected data objects replication in data grid”. A taxonomy and survey of grid resource management systems for distributed computing”. Data replication strategies in grid environments”.
A survey of data middleware for Grid systems”. Identifying dynamic replication strategies for a high performance data grid”. Adaptive replica placement in hierarchical data grids”. New York: Association for Computing Machinery. International Journal of High Performance Computing Applications.
The physiology of the grid: an open grid services architecture for distributed systems integration”. A simple data grid using the inferno operating system”. Content based data transfer mechanism for efficient bulk data transfer in grid computing environment”. IEEE Transactions on Dependable and Secure Computing.